PART 4: Technical References

PART 4: Technical References
PART 4
Disaster Types and Impacts
Disaster Risk Management in Reconstruction
Matrix of Disaster Project Features
Glossary
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Disaster Types and Impacts

Disaster Types and Impacts
This chapter presents a range of data and a brief discussion on the nature, distribution, and impact of disaster events. It also includes a brief discussion on the emerging understanding of the nexus between disaster risk and poverty. This information is provided to help policy makers and World Bank task managers who may need data, concepts, or policy arguments to justify attention to disaster risk reduction (DRR) in reconstruction or to define DRR policy objectives in the context of public investment planning in general. 
The Centre for Research on the Epidemiology of Disasters (CRED)

CRED is a nonprofit institution with international status under Belgian law, located in Brussels at the School of Public Health of the Université Catholique de Louvain (UCL). CRED has been active for more than 30 years in the fields of international disaster and conflict health studies, with research and training activities linking relief, rehabilitation, and development, and in1980 became a World Health Organization (WHO) Collaborating Centre as part of WHO’s Global Program for Emergency Preparedness and Response.

Since 1988, with support from the United States Agency for International Development’s (USAID) Office of U.S. Foreign Disaster Assistance (OFDA), CRED has maintained the Emergency Events Database (EM-DAT), a worldwide database on disasters. The database contains data on the occurrence and effects of almost 16,000 natural and technological disasters in the world from 1900 to the present. Its main objective is to assist humanitarian action at both national and international levels and aims at rationalizing decision making for disaster preparedness and at providing a more objective base for vulnerability assessment and priority setting. The database is compiled from various sources, including UN agencies, nongovernmental organizations (NGOs), insurance companies, research institutions, and press agencies. CRED consolidates and updates data on a daily basis, checks it at 3-month intervals, and conducts annual revisions at the end of each calendar year.

EM-DAT data are used by a range of international agencies, including ISDR and the World Bank, for reporting and analyzing disaster statistics.

Data collection on disasters has improved markedly in recent years and several authoritative sources are listed in the resources section below. The International Strategy for Disaster Reduction (ISDR) was launched in 2000 as a framework to coordinate actions to address disaster risks at the local, national, regional, and international levels. The Hyogo Framework for Action 2005–2015 (HFA), endorsed by 168 United Nations (UN) member states at the World Conference on Disaster Reduction in Kobe, Hyogo, Japan, in 2005, urges all countries to make major efforts to reduce their disaster risk by 2015.

In 2009,  the United Nations International Strategy for Disaster Reduction Secretariat (UNISDR) published the 2009 Global Assessment Report on Disaster Risk Reduction, the first biennial global assessment of disaster risk reduction, prepared in context of the implementation of the ISDR. The report, entitled Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow, urges a radical shift in development practices, and a major new emphasis on resilience and disaster planning. The report’s authors express the concern that response mechanisms after the event are never enough.[1]

This chapter summarizes a number of points from the Global Assessment Report, as well as data from the ISDR’s Disaster Statistics, 1991–2005 and from the Centre for Research on the Epidemiology of Disasters (CRED) 2008 Annual Disaster Statistical Review.[2] (See Box for a description of CRED.)

Natural Disaster Definitions and Incidences 
CRED defines a disaster as “a situation or event [which] overwhelms local capacity, necessitating a request to a national or international level for external assistance; an unforeseen and often sudden event that causes great damage, destruction and human suffering.”

Disasters are the convergence of hazards with vulnerabilities. As such, an increase in physical, social, economic, or environmental vulnerability can mean an increase in the frequency of disasters.

The complete EM-DAT divides disasters into 2 categories (natural and technological), and further divides the natural disaster category into 5 subcategories, which in turn cover 12 disaster types and more than 30 subtypes. The principal categories and subcategories are shown below.

Disaster subcategory definitions
Geophysical:
Events originating from solid earth
Meteorological:
Events caused by short-lived/small to meso-scale atmospheric processes (in the spectrum from minutes to days)
Hydrological:
Events caused by deviations in the normal water cycle and/or overflow of bodies of water caused by wind set-up
Climatological:
Events caused by long-lived/meso- to macro-scale processes (in the spectrum from intraseasonal to multi-decadal climate variability)
Biological:
Disaster caused by the exposure of living organisms to germs and toxic substances
 
Natural Disaster Categories, Types, and Subtypes
   
Hydrometeorological
 
Biological
Geophysical
Hydrological
Meteorological

 

  • Epidemic
  • Viral infectious disease
  • Bacterial infectious disease
  • Parasitic infectious disease
  • Fungal infectious disease
  • Prion infectious disease
Insect infestation
Animal stampede
Earthquake
Volcano
Mass movement (dry)
  • Rockfall
  • Landslide
  • Avalanche
  • Subsidence
Flood
  • General flood
  • Storm surge/coastal flood
Mass movement (wet)
  • Rockfall
  • Landslide
  • Avalanche
  • Subsidence
Storm
  • Tropical cyclone
  • Extra-tropical cyclone
  • Local storm

 

Climatological

 

Extreme temperature
  • Heat wave
  • Cold wave
  • Extreme winter condition

Drought/wildfire

  • Forest fire
  • Land fire
 
 

 

 

 

 
 

 


 

 

 
 

 

Source: UCL,“EM-DAT: The OFDA/CRED International Disaster Database,”  http://www.emdat.be.
 
Disasters are frequently classified according to their frequency and their impact, as measured by number of victims and economic damage. The following tables show disaster data for 2008 and averages for the 2000–2007 time period.

 
Natural Disasters: Frequency by Region
No. of natural disasters

Africa

Americas

Asia

Europe

Oceania

Global

Climatological
2008
10
4
9
9
0
32
2000-07 (Average)
9
14

13

19

2

57

Geophysical
2008
3
8
18
2
1
32
2000-07 (Average)
3
7
22
3
2
37
Hydrological
2008
48
39
73
9
9
178

Avg. 2000-07

42
39
82
28
5
196
Meteorological
2008
10
44
43
13
2
112
Avg. 2000-07
9
34
42
15
7
107
Total
2008
71
95
143
33
12
354
Avg. 2000-07
63
94
160
65
16
397
No. of victims (in millions)
Africa
Americas
Asia
Europe
Oceania
Global
Climatological
2008
14.5
0.1
91.1
0.0
0.0
105.6
Avg. 2000-07
9.6
1.1
68.4
0.3
0.0
79.5
Geophysical
2008
0.0
0.1
47.6
0.0
0.0
47.8
Avg. 2000-07
0.1
0.4
3.6
0.0
0.0
4.2
Hydrological
2008
1.0
15.9
27.7
0.2
0.1
44.9
Avg. 2000-07
2.5
1.3
101.7
0.4
0.0
105.9
Meteorological
2008
0.8
3.7
11.4
0.0
0.0
15.9
Avg. 2000-07
0.4
2.8
38.0
0.4
0.0
41.7
Total
2008
16.2
19.9
177.8
0.3
0.1
214.3
Avg. 2000-07
12.6
5.6
211.8
1.1
0.1
231.2
Damages (billions of 2008 US$)
Africa
Americas
Asia
Europe
Oceania
Global
Climatological
2008
0.4
2.0
21.9
0.0
0.0
24.4
Avg. 2000-07
0.0
2.4
1.1
3.5
0.4
7.4
Geophysical
2008
0.0
0.0
85.8
0.0
0.0
85.8
Avg. 2000-07
0.8
1.0
9.5
0.3
0.0
11.6
Hydrological
2008
0.3
12.1
3.7
1.3
2.1
19.5
Avg. 2000-07
0.4
1.9
9.7
7.7
0.3
19.9
Meteorological
2008
0.1
50.0
6.8
3.4
0.5
60.7
Avg. 2000-07
0.1
38.6
10.7
3.0
0.3
52.6
Total
2008
0.9
64.0
118.2
4.7
2.5
190.3
Avg. 2000-07
1.3
43.8
31.0
14.5
1.0
91.6
Source: UCL, “EM-DAT: The OFDA/CRED International Disaster Database,” http://www.emdat.be. [Original tables contain rounding errors.]

Disaster victims in CRED data include both those killed and those otherwise affected. Using a different set of data to separate only those killed provides another striking indicator of the impact of disasters in recent years.

Disaster Fatalities by Type of Disaster and Level of Development, 1991–2005
Country type
Hydrometeorological
Geophysical
Biological
Total
Flood
Windstorm
Drought*
Slide
Earthquake & tsunami
Volcano
Epidemic
Organisation for Economic Co-operation and Development member country
 2,150
 5,430
 47,516
 426
 5,910
 44
 442
 61,918
Central and Eastern Europe and Commonwealth of Independent States
 2,635
 512
 3,109
 1,176
 2,412
 -
 568
 10,412
Developing countries
 97,061
 65,258
 12,599
 9,369
 397,303
 900
 47,616
630,106
Least developed countries
20,127
 149,517
 3,320
 1,739
 9,247
 201
 70,588
254,739
Countries not classified
 99
 767
 57
 23
 2,277
 -
 104
 3,327
Total
122,072
 221,484
 66,601
 12,733
 417,149
 1,145
 119,318
960,502
Source: ISDR Disaster Statistics, http://www.unisdr.org.     *Drought-related disaster category includes extreme temperatures.

The following table shows that disasters affect people—as well as regions—unequally.

Average Number of People Affected by Continent and Disaster Origin, 1991–2005
(per million inhabitants)
 
Hydrometerological
Geological
Biological
Africa
            22,803
            81
            951
Americas
            5,186
            374
            149
Asia
            56,486
            794
            63
Europe
            2,404
            46
            17
Oceania
            39,817
            585
            16
Source: “ISDR Disaster Statistics,” http://www.unisdr.org.
 
Understanding Intensive versus Extensive Disaster Risks
The 2009 Global Assessment Report on Disaster Risk Reduction points out the distinction between intensive and extensive disaster risks. Intensive risks are those that produce high mortality disaster events. The report notes that between January 1975 and October 2008, 0.26 percent of the 8,866 disaster events recorded accounted for 78.2 percent of the mortality. These included the 1983 drought in Ethiopia; the 1976 earthquake in Tanshan, China; and, more recently, the Indian Ocean tsunami in 2004 and Cyclone Nargis in Myanmar in 2008.

At the same time, losses from low-intensity, but more extensive disaster events continue to affect housing, local infrastructure, and large numbers of people. The report states that “99.3% of local loss reports in 12 Asian and Latin American countries that were sampled accounted for only 16% of the mortality but 51% of housing damage. These losses caused by ‘extensive risk’ are pervasive in both space and time…”

ISDR states that the drivers of both types of risk are similar: locally specific increases in exposure, vulnerability, and hazard due to broader urbanization, economic and territorial development, and ecosystem decline, exacerbated by poor urban governance and the vulnerability of rural livelihoods.

Poverty and Exposure to Risk
The correlation between poverty and risk is becoming clearer as disaster data collection and analysis improves. Empirical evidence from all regions of the world shows that disasters produce measureable declines in income, consumption, and human development indicators, and that these effects are disproportionally concentrated in poor households and communities. The effects of disasters are especially pronounced in some of the indicators of human development most important to poverty reduction: productivity, health, and education.

Poor households have a limited capacity to buffer themselves against disaster losses, whether the risks are intensive or extensive. They may also have limited social protection, depending largely on whatever public measures are available during disaster recovery.

This discussion points out the importance of investment in measures to prevent and reduce disaster risk. By the time a disaster strikes, it may seem too late to interrupt the negative feedback loop between poverty and disaster risk. But this is not the case; there are numerous opportunities for users of this handbook to contribute to the effort of reducing poverty by addressing risk factors in reconstruction. These include:

  • Ensuring that financial assistance for housing and community reconstruction reaches the poor
  • Insisting that investments are made in disaster risk reduction in the reconstruction of housing, infrastructure, and other community assets
  • Involving local professionals (builders, architects, engineers) in training and post-disaster planning oriented toward risk reduction
  • Making permanent improvements in instruments such as planning guidelines, building codes, and housing designs that will continue to be used after reconstruction
  • During reconstruction, encouraging government, academic institutions, the private sector, and civil society to think proactively about measures they can take to reduce future community exposure to hazards
  • Working with government to establish social protection mechanisms that help different social groups prepare for and recover from disasters

The following figure attempts to capture some of the interactions of poverty and disaster risk.

The Disaster Risk-Poverty Nexus
Source: ISDR, 2009, Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow, Global Assessment Report on Disaster Risk Reduction, (Geneva: United Nations), http://www.preventionweb.net/gar09.

A Note on the Interpretation of Disaster Data

Over the last 30 years, the development of telecommunications and the media and increased international cooperation have played a critical role in the number of disasters that are reported internationally. In addition, increases in humanitarian funds have encouraged reporting of more disasters, especially smaller events.

CRED has concluded that the increase in the number of disasters until about 1995 is explained partly by better reporting of disasters in general, partly due to active data collection efforts by CRED, and partly due to real increases in both the frequency and the impact of certain types of disasters. They estimate that the data in the most recent decade present the least bias and reflect a real change in numbers. This is especially true for floods and cyclones.

CRED has warned users of its data that although climate change could affect the severity, frequency, and spatial distribution of hydrometeorological events, users need to be cautious when interpreting disaster data and take into account the inherent complexity of climate and weather related processes—and remain objective scientific observers. The figure below shows trends in frequency and impact of disasters over the 1989–2008 time frame.

Trends in Occurrence of Disasters and Number of Victims, 1989–2008
Source: EM-DAT, UCL: Brussels, http://www.emdat.be.
 
Resources
Center for Hazards and Risk Research (CHRR). “Hotspots.” http://www.ldeo.columbia.edu/chrr/research/hotspots/.

Centre for Research on the Epidemiology of Diseases (CRED). Université Catholique de Louvain, Ecole de Santé Publique,. http://www.cred.be/.

ISDR. 2009. Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow. Global Assessment Report on Disaster Risk Reduction. Geneva: United Nations. http://www.preventionweb.net/gar09.

Rodriguez, Jose, et al. 2009. Annual Disaster Statistical Review 2008: The numbers and trends. Brussels: CRED. http://www.emdat.be/Documents/Publications/ADSR_2008.pdf.



[1]. UNISDR, 2009, Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow. 2009 Global Assessment Report on Disaster Risk Reduction, (Geneva: United Nations), http://www.preventionweb.net/gar09.

[2]. Jose Rodriguez et al., 2009, Annual Disaster Statistical Review 2008: The numbers and trends, (Brussels: CRED), http://www.emdat.be/Documents/Publications/ADSR_2008.pdf.

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Disaster Risk Management in Reconstruction

Disaster Timeline DRM Principles in Reconstruction Conducting a Risk Analysis Mitigation Measures
Case Studies Resources Annex: Sources of Disaster Data
Disaster risk management (DRM) is a systematic process of using administrative directives, organizations, and operational skills and capacities to implement strategies, policies, and improved coping capacities to lessen the adverse impacts of hazards and the possibility of disaster. Disaster risk reduction (DRR), a related but narrower concept, is the practice of reducing disaster risks through systematic analysis and management of the causal factors of disasters, including reduced exposure to hazards, lessened vulnerability of people and property, wise management of land and the environment, and improved preparedness.[1]This chapter uses the broader concept of DRM.
DRR is particularly important in developing countries: 90 percent of disaster-related injuries and deaths are sustained in countries with per capita income levels below $760 per year. In addition, losses from natural disasters are 20 times greater (as a percentage of gross domestic product) in developing countries than in industrialized countries.
 
UNISDR (United Nations International Strategy for Disaster Reduction), 2004, Living with Risk: A Global Review of Disaster Reduction Initiatives. Vol 1. (Geneva: UNISDR).

Disaster risk is the potential losses, in lives, health status, livelihoods, assets, and services that could occur in a particular community over some specified future time period due to disasters. Disaster risk is created by a complex interaction of factors, both natural and human-generated, that expose people and the environment to hazards. The following types of interventions are used to manage disaster risk: (1) policy and planning measures, (2) physical preventive measures, (3) physical coping and adaptive measures, and (4) capacity building at the community level.

Policy makers and reconstruction project task managers will probably never conduct a risk analysis, but they may have to evaluate a mitigation plan for a neighborhood or infrastructure system or make a relocation decision. The commitment to reducing disaster risk must drive such decisions.

Specific DRM actions that can be taken are discussed throughout this handbook as they apply to the chapter topics. This chapter gives users of the handbook a working understanding of what disaster risk analysis entails and of how both short- and long-term mitigation measures are used to reduce disaster risk in reconstruction. It focuses on the basic principles, policies, and instruments of DRM, and on their application in a reconstruction program. Because of its post-disaster focus, this chapter principally addresses interventions 1 and 3, above.

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Disaster Timeline

DRM as a discipline can be conceived of as a program of interventions whose focus and relative importance changes from the pre-disaster period to the disaster period to the post-disaster period. The figure below attempts to show the relative importance of each of these interventions at different points in time relative to a disaster event. This handbook focuses on the post-disaster reconstruction period, as does the discussion in this chapter.

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(Adapted from International Recovery Platform, Learning from Disaster Recovery
– Guidance for Decision Makers, , 2007, p. 14, Fig H.)  
 
The key DRM decisions related to housing and community reconstruction, and the handbook chapters where these issues are discussed, are the following:
  • Whether and where to relocate households (Chapter 5, To Relocate or Not to Relocate)
  • The housing technology, construction procedures, and norms to be used in construction, retrofitting, and reconstruction (Chapter 6, Reconstruction Approaches, and Chapter 10, Housing Design and Construction Technology)
  • How to restore infrastructure services, including site selection and mitigation measures in both new construction and retrofitting (Chapter 7, Land Use and Physical Planning, and Chapter 8, Infrastructure and Services Delivery).

When making these decisions, it is important to look for opportunities to promote both short- and long-term DRM measures.

In the immediate term, there is an opportunity to analyze risk and use the outputs of the analysis to identify cost-effective risk mitigation measures to implement in the reconstruction program. In an area of habitual flooding, for example, housing may be reconstructed in-situ on stilts.

At the same time, the disaster may create an opportunity—while the public’s consciousness of disaster risk is heightened—to identify and begin to implement longer-term DRM measures. Longer-term mitigation includes strengthening DRM institutions and other measures that have a more systematic and far-reaching impact but require time to plan and implement. For example, after a flood, a commitment might be made to begin planning an early warning system to ensure evacuations under certain flooding conditions that includes rainwater monitoring and radio announcements, even though it could take time to fully implement.

Conducting a Risk Analysis
An all-hazards risk assessment (or risk analysis) is a determination of the nature and extent of risk developed by analyzing all potential hazards and evaluating existing conditions of vulnerability that could pose a potential threat or harm to people, property, livelihoods, and the environment on which they depend. The risk analysis shows vulnerabilities in a particular location and quantifies the potential impact of a disaster on a community. These factors are crucial when selecting among various mitigation options or deciding whether to relocate a community. Project managers should investigate whether a risk analysis has already been conducted for the location. It may be available from regional or international bodies. Four steps of a risk analysis and the issues they address are described below.

Step 1: Identify hazards and analyze their probability.

How frequently do different types of disasters occur here? What is the probability that they will recur?

Hazard identification. To help predict the magnitude and duration of a potential hazard, a record of similar previous hazards is developed and characteristics of those hazards are collected and compared. The data collected should show magnitude, duration, impact, date, and extent. (The table in the annex provides additional information about potential sources of data.) Changes in temperature and rainfall projected from climate change should be factored into a risk analysis using projections or global models. The case study below explains the functions of the Central American Probabilistic Risk Assessment (CAPRA), an example of a regional organization that can provide risk assessment data.

Hazard probability. Using hazard data, the return period of a disaster in a specific area can be estimated. Recent trends, such as those produced by climate change, may not be included in historic data, but should be taken into consideration. The output of the probabilistic hazard analysis is a map of the hazard for various return periods.[2] Specific outputs include (1) wind speeds, (2) inundation depths and extents, and (3) ground motion.

Step 2: Create an inventory of exposure and vulnerability.

What assets of this community might be affected if the disaster recurs? How would they be affected? How likely are various outcomes?

Develop an asset inventory. Identify the buildings or infrastructure at risk, including information on the structure’s use, materials, age, and dimensions. The information should be collected at a geographic level relevant to the analysis (e.g., city block, neighborhood, or region). Sources of data may include government census reports, community-level surveys, and high-resolution satellite images. (Satellite data used in any process should be validated using a second method, such as a site survey. See Chapter 17, Information and Communications Technology in Reconstruction, for a discussion of these issues.)

Develop valuation data. Estimate replacement costs of the assets identified. If valuation data are not available, estimates based on gross domestic product and comparative country-level data can be used as proxies.

Catalogue vulnerability characteristics. Some structures withstand specific types of disasters better than others. The factors that contribute to a building’s vulnerability include roof type, roof-wall connection, construction type, window protection, height, foundation type, and elevation. The prevalence of these factors must be catalogued in order to develop estimates of loss.

Identify or develop damage and loss functions. Physical vulnerability is described as the degree to which an asset may sustain damage when exposed to a hazard. A vulnerability analysis quantifies the susceptibility of an asset type to damage for each magnitude of hazard. Develop damage and loss functions for buildings, content, and infrastructure for different return periods and hazards, based on the information above, local damage data, existing vulnerability curves developed for similar structures, and expert or heuristic judgments. Historic information and community experience from past events help predict the effect of a disaster on a community, including identifying undamaged areas, hazard durations, and cascading hazards. Potential for damage is measured using the mean damage ratio (MDR), the ratio of damage incurred to the asset’s replacement cost. Two outputs from this analysis include the following.

Vulnerability or damage function: The curve that relates the MDR to the magnitude of a hazard.

Loss function: The curve that relates the repair cost to the magnitude of the hazard.

Step 3: Estimate the probability of losses.

What could losses cost us?

A computer model is usually used to overlay the hazard and vulnerability data (using a geographic information system [GIS]) and to map loss estimates for each hazard probability developed above. Data for this step are often collected and posted by the United Nations Office for the Coordination of Humanitarian Affairs (http://www.unocha.org/). After this step, an at-risk community should be able to better understand what the impact could be should disaster strike. Two outputs from this analysis include the following.

Average annual loss (AAL): The sum of all monetary losses over all return periods multiplied by the probability of a disaster occurring. Expressed mathematically, AAL = ($ loss) x Σ (probability of occurrence).

Loss exceedance curve (LEC): A curve that shows the correlation between the average recurrence interval and losses. It is used to predict losses for different recurrence intervals.

Step 4: Develop a risk atlas.

Where are losses likely to happen?

A risk atlas illustrates hazard areas and corresponding community damages and losses for a series of probable events over different return periods. A separate map is generated for each return period event. The atlas is used to identify which mitigation measures need to be considered. Specific examples of mitigation measures are provided in the next section.

  

Identifying and Selecting Mitigation Measures

Hazard mitigation is any action taken to reduce or eliminate the risks from natural hazards. Once the risk analysis has been carried out, the information can be used to define and implement hazard mitigation activities and projects. To do this, the mitigation options must be identified, and the costs and benefits of each option evaluated. Based on that analysis, implementation decisions can be made.

Various mitigation measures may be considered when planning housing and infrastructure reconstruction, but the most feasible will be short-term measures that minimize the destructive and disruptive effects of disasters on the built environment. Longer-term measures should also be initiated. These are discussed in the next section.

The principal mitigation measures are:

  • locational mitigation, in which damage or loss is reduced by avoiding the physical impacts of an event;
  • structural mitigation, in which damage is resisted through bracing of buildings or construction of a levee;
  • operational mitigation, in which damage or loss is minimized by interventions such as emergency planning, tsunami warning, or other temporary measures; and
  • risk sharing, in which the cost of the damage is shared.[3]

The case study on Pupuan, Indonesia, below, shows how the full range of mitigation options should be considered, even those that are political difficult.

Types of DRM Measures
  • Policy and planning: e.g., institutional, policy, and capacity-building measures designed to increase the abilities of public and private institutions to manage disaster risks.
  • Physical preventative: e.g., building sea-walls as part of flood defense mechanisms.
  • Physical coping and adaptive: e.g., flood shelters for use during a disaster event.
  • Capacity building at the community level: e.g., developing a community-based hazard mitigation plan.
Source: Department for International Development, 2005, “Natural Disaster and Disaster Risk Reduction Measures, A Desk Review of Costs and Benefits,” http://www.dfid.gov.uk/Documents/publications/disaster-risk-reduction-study.pdf.

Short-Term Mitigation for Housing
Based on the risk assessment described above, alternative mitigation measures for housing can be considered. These measures are not mutually exclusive; more than one may apply. Information in other handbook chapters can be used to support the evaluation of the options, as noted below. Site selection for housing is likely to take place in an extremely decentralized manner (at the household and village levels); therefore, communication with the public should be considered an important mitigation tool.

Choose hazard-resistant housing designs and construction technologies. For housing, design standards exist internationally and are readily available for various types of construction and disasters. Building codes are the most common regulatory instrument for ensuring safe construction methods, although they may not be promulgated or enforced. An authoritative source of model codes for residential and commercial buildings is the International Code Council.[4] Also see Chapter 10, Housing Design and Construction Technology, for a discussion of housing construction issues.

Relocated housing. DRM considerations should be applied in site selection for both temporary and permanently relocated housing. While reconstruction should not occur in areas frequently affected by hazards, this is admittedly difficult where nonvulnerable alternatives are scarce or land use regulations do not prevent it. Chapter 5, To Relocate or Not to Relocate, discusses the range of issues that arise in evaluating the relocation option. Reconstruction guidelines should include the topic of site selection, as should the reconstruction communication program, so that both agencies and individuals are educated about the importance of these decisions.[5]Chapter 3, Communication in Post-Disaster Reconstruction, explains the principles of communication with the affected community and the general public.

Rehabilitate and retrofit housing. Rehabilitation deals with structural and nonstructural modification of buildings and infrastructure facilities. Since new zoning laws and updated design and construction codes usually can’t be applied retroactively, it is important that, to reduce the impact of disasters, the safety and structural integrity of existing buildings and infrastructure facilities is improved during the rehabilitation process.

Train builders in DRM. The training program should provide an understanding of how the hazards may affect the household and community and of recommended mitigation strategies for the specific affected region. Chapter 16, Training Requirement in Reconstruction, describes some of the specific content in the training programs for the builders.

Mitigate the existing site. The location or structure of a building can greatly increase its vulnerability. Mitigation measures should address the specific causes of a building’s or infrastructure’s vulnerability. For example, it is illogical to invest in expensive reinforcement of a structure resting on unstable soil. Removal, relocation, or elevation of in-place structures in highly hazardous areas, especially those built before building codes were established, is frequently the only option. A community must prioritize options based on the importance of a structure and its relative vulnerability. For instance, a venerated historic religious building with a high potential loss may take priority over other buildings and infrastructure.

 
Short Term Mitigation for Infrastructure
Based on the risk assessment described above, alternative mitigation measures for infrastructure can be considered. These measures are not mutually exclusive; more than one may apply. The information in Chapter 8, Infrastructure and Services Delivery, complements this section, providing guidance on a DRM-oriented infrastructure project development process.

Select or change the site. DRM considerations should be applied in site selection for new infrastructure. Reconstruction should not occur in areas frequently affected by hazards, although it may be impossible to avoid if housing settlement has already taken place and services are needed and where nonvulnerable alternatives are scarce. Where site selection cannot be used to avoid risk, other mitigation measures are applied.

Mitigate the existing site. It is often difficult to relocate infrastructure to a site that does not experience hazards. For example, a road may have to cross a river or stream and therefore enter a floodplain. In this example, mitigation might consist of designing a bridge with a proper elevation and span based on an analysis of the floodplain. Using information from the risk analysis, the design of the bridge is fine-tuned to the hazards and vulnerabilities at the site (e.g., soft soils, liquefaction potential, etc.). A community must prioritize options based on the importance of the facility and its relative vulnerability. For instance, a water system with a high potential loss may take priority over other infrastructure. The case study on Bamako, Mali, below, explains how solid waste management and storm water management were used to reduce flooding in an urban area.

Redesign or reengineer the infrastructure. Design and engineering improvements are used to retrofit in-place infrastructure. Because construction techniques and technologies are constantly improving, one should research the most recent recommended practices when considering engineering improvements for infrastructure.

Use protection and control measures (applies to both housing and infrastructure). Protective and control measures focus on protecting structures by erecting protective barriers (e.g., dams and reservoirs, levees, discharge canals, floodwalls and sea-walls, retaining walls, safe rooms or shelters, and protective vegetation belts) and deflecting the destructive forces from vulnerable communities, structures, and people. Some of these measures may be appropriate to implement during reconstruction; others may be longer-term investments that require time to plan, finance, and implement. The requirements for these measures should be incorporated into the land use planning framework, based on a rigorous assessment of risks. See Chapter 7, Land Use and Physical Planning, for a discussion of the role of planning in risk mitigation, and the case study on the use of a coastal protection zone as a mitigation strategy in Sri Lanka, below.

Comparing Mitigation Options
To select the preferred option for mitigating risk in a particular situation, it is necessary to compare options in an objective manner according to consistent criteria.[6] Several methodologies can be used to evaluate and select mitigation options and rank the potential mitigation projects; two are discussed below. These evaluation tools are used after the potential hazards and vulnerabilities in a community have been identified using risk analysis. The selection of options, including the relative weighting of criteria, is ideally carried out with the participation of the affected community.

STAPLEE. One methodology that considers a comprehensive set of criteria is referred to as “STAPLEE.” This methodology examines the Social, Technical, Administrative, Political, Legal, Economic, and Environmental opportunities and constraints of implementing a particular mitigation measure. To use this methodology and other similar methodologies, the mitigation project is evaluated and scored for each criterion. It may also be necessary to weight the criteria to reflect their relative importance. This scoring could be in the form of a number or a “yes/no” decision. STAPLEE helps determine whether the project is feasible and can be used to compare several mitigation options to each other.

Cost-Benefit Analysis. Another way to evaluate a mitigation project is to use a cost-benefit analysis (also known as a benefit-cost analysis) to determine cost effectiveness. The cost-benefit analysis is used to assess for which alternatives, if any, the benefits outweigh the costs. The steps in a cost-benefit analysis are, for each project:

  1. Conduct a hazard risk assessment and compute the AAL before mitigation.
  2. Conduct a hazard risk assessment and compute the AAL after mitigation.
  3. Determine the present value of the benefit using the difference between the AALs, the project lifespan, and a discount factor for the time value of the benefits.
  4. Estimate the cost to implement the mitigation measure and discount those costs as well.

Divide the present value of the benefit of the mitigation project by the present value of the cost to mitigate.

The project with the highest cost-benefit ratio produced by this analysis is the preferred mitigation option. 

Long-Term Measures
Institutional strengthening. Government agencies at the national and local government levels in disaster-affected countries may already have in place DRM policies and regulations. Implementation of the policies may fall within the jurisdiction of the ministry of public works, the ministry of land, and/or the ministry of urban development and planning departments at different levels. Enforcement may fall within the ministry of public works, civil defense, or police departments. Most disaster-affected urban areas have some type of DRM policies and regulations in place, generally under the jurisdiction of the local planning department or planning commission. The problem is that these measures are often not fully enforced or implemented. Rural areas may not have these policies or regulations in place and may not have defined DRM responsibilities within local agencies.

Although institutional weaknesses differ from country to country, there are some shared concerns that will affect the promotion of DRM principles in reconstruction. The table below provides examples of institutional DRM issues and potential solutions. These issues should be viewed as entry points where work with DRM agencies can begin.

 
Institutional Weaknesses and Potential Solutions

Institutional weakness

Potential solutions

Building codes have not been established or are not being enforced.

Use the expertise gathered for disaster recovery and the global media focus to promote establishing/updating building codes. Work with the ministry of public works or municipal public works departments and involve enforcement agencies in the discussions.

 

Work directly with builders to improve construction practices. Oversight of the construction is key.

Land use/zoning regulations have not been established or are not being enforced.

Use the expertise gathered for disaster recovery and the global media focus to promote establishing/updating land use regulations. Work with the ministry of planning and local planning departments.

There are no clear lines of disaster risk management responsibility among government agencies.

Build on ad hoc institutional arrangements developed for response and recovery from the current disaster to institutionalize responsibilities for prevention and response to future disasters.

Disaster response and recovery plans are limited or nonexistent.

During reconstruction, develop a response and recovery plan using lessons learned from the disaster to determine needs and division of responsibilities.

Incentives for disaster-resistant building practices are weak.

Use computer models or case studies to demonstrate mitigation benefits.

Perform cost-benefit analysis.

Promote incentive-based, disaster-resistant programs (insurance programs, government catastrophic pools).

Regulatory measures. It is generally not realistic to implement major regulatory reforms in the immediate aftermath of a disaster; however, a revision to a key ordinance or issuance of guidelines is often feasible. At the same time, the disaster may raise awareness among decision makers such that they become motivated to begin the process for implementing more substantive reforms after the immediate recovery and reconstruction issues have been dealt with.

In most cases, regulatory measures should be considered before other measures because they provide the framework for mitigation decision making, organizing, and financing. Regulatory measures are the legal and other regulatory instruments that governments use to prevent, reduce, or prepare for the losses associated with hazard events. Examples include:

  • legislation that organizes and distributes responsibilities to protect a community from hazards;
  • insurance regulations that reduce or transfer the financial and social impact of hazards;
  • new and/or updated design and construction codes, and land use and zoning regulations (land use planning is detailed in Chapter 6, Reconstruction Approaches); and
  • regulations that provide incentives for implementing mitigation measures.

In post-disaster situations where regulatory measures do not exist, reconstruction and rehabilitation (at a minimum) should reflect the experience and standard practices and guidelines used internationally for similar disasters. For housing, such standards are readily available and can be adapted to the local conditions and environment in an emergency. See Chapter 10, Housing Design and Construction Technology, for more detail on housing standards.

Community-based hazard mitigation planning. Creating disaster-resistant communities requires community involvement. The figure at right shows the steps in a participatory hazard mitigation planning process. It is similar to the steps described for reconstruction; however, the planning process allows for more participation and longer-term thinking about priorities and options.

Stakeholder workshops conducted during reconstruction can be opportunities for local officials and the community to begin developing the outlines of the longer-term hazard mitigation strategy and planning process. The communications program related to the disaster is a valuable tool for two-way communication between the public and government about DRM. For more information on the use of community involvement in planning and reconstruction, see Chapter 12, Community Organization and Participation.

 
Case Studies
1999 Landslide, Pupuan, Indonesia
Not Considering All Potential Risk Mitigation Applications

In January 1999, a landslide in the village of Pupuan, Bali, killed 38 people. Local residents said the cause of the disaster was a combination of high rainfall, significant slope modifications for rice agriculture, housing construction in high-risk areas, lack of infrastructure, and removal of forest cover. The DRR strategies that had been implemented included structural approaches (e.g., levee construction, hillside terracing, hazard-resistant housing) and nonstructural approaches (e.g., strengthening communications networks, human settlement rezoning, strengthened cooperation between nongovernmental organizations [NGOs] and government agencies). However, resource management actions were not pursued (e.g., abandoning hillside rice agriculture and reforesting slopes). Land use and population pressures, in addition to a 1,000-year-old tradition of terraced rice growing, led to strong local resistance to changing the resource use practices that might have avoided the landslide.

Source: Brent Doberstein, 2006, “Human Dimensions of Natural Hazards: Adaptive Management of Debris Flows in Pupuan, Bali and Jimani, Dominican Republic,” University of Waterloo, Canada, http://www2.bren.ucsb.edu/~idgec/papers/Brent_Doberstein.doc.

Disaster-Related Data Sharing and Coordination Central American Probabilistic Risk Assessment Platform

Central America is vulnerable to a wide variety of natural hazards that present a challenge to the region’s sustainable social and economic development. In response, the region has taken a proactive stance on risk prevention and mitigation. The CAPRA platform represents an opportunity to strengthen and consolidate methodologies for hazard risk evaluations supporting this stance and existing initiatives. Led by the Center for Coordination for the Prevention of Natural Disasters in Central America (Centro de Coordinación para la Prevención de los Desastres Naturales en América Central [CEPREDENAC]), in collaboration with Central American governments, the International Strategy for Disaster Reduction, the Inter-American Development Bank, and the World Bank, CAPRA provides tools to communicate and support decisions related to disaster risk at local, national, and regional levels in Central America. It uses a GIS platform and probabilistic risk assessment to support decisions in such sectors as emergency management, land use planning, public investment, and financial markets. Current CAPRA applications use data for (1) the creation and visualization of hazard and risk maps, (2) cost-benefit analysis tools for risk mitigation investments, and (3) the development of financial risk transfer strategies. Future applications by CAPRA partners may include real-time damage estimates, land use planning scenarios, and climate change studies.

Sources: CAPRA, http://www.ecapra.org/en; and CEPREDENAC, http://www.sica.int/cepredenac/ 

1999 Floods, Bamako, Mali

Disaster Risk Management as Sustainable Local Development

Flash flooding throughout Bamako, Mali, in August 1999, caused death, destruction, and significant economic losses for several thousand families. The United States Agency for International Development Office of U.S. Foreign Disaster Assistance (OFDA), in collaboration with Action Contre la Faim, an international NGO that works to provide safe water, analyzed the causes of the flooding and launched a 4-year, US$525,000 mitigation project in the city’s most flood-affected district. One of the primary causes of flooding in Bamako, as in many cities, was the disposal of solid waste in waterways, which reduced the storm water capacity of waterways. The project, which aimed to reduce flooding risks by improving storm water management and solid waste management, was part of a larger effort to help local governments improve services, including flood mitigation, which was one of the most critical. Watershed management techniques included improving storm water retention, removing debris from the drainage system, and expanding solid waste management using local collection teams. The project generated livelihood opportunities for unemployed youth, and quickly became self-sustaining, with fees more than offsetting costs. As a consequence, Bamako has not since had a similar flood disaster. The project had other unanticipated impacts, including the reduction in the incidence of water- and mosquito-borne illnesses by 33 percent to 40 percent in the project area.

In a similar project in Kinshasa, Democratic Republic of Congo, in 1998, OFDA calculated that the program, rather than having a cost, produced a projected net savings of US$426 per household, the equivalent of more than 50 percent of annual household income. The Ministry of Health of the Democratic Republic of Congo showed that the project, which included a public health education component, reduced the incidence of cholera in the community by more than 90 percent.

This model of reducing risk by improving local public services, which shows how risk reduction can contribute to broader development goals, can easily be replicated in other cities with similar challenges.

Source: Charles A. Setchell, 2008, “Multi-Sector Disaster Risk Reduction as a Sustainable Development Template: The Bamako Flood Hazard Mitigation Project,” Monday Developments (April 2008), http://www.usaid.gov/our_work/humanitarian_assistance/disaster_assistance/sectors/files/Multi_Sector_Disaster_Risk_Reduction.pdf.

2004 Indian Ocean Tsunami, Sri Lanka
Delays in Defining Coastal Risk Strategy Affect Housing Reconstruction and Land Ownership

In the housing damage assessment conducted in Sri Lanka in February 2005, after the Indian Ocean tsunami, it was estimated that nearly 98,500 housing units had been damaged. The government of Sri Lanka (GOSL) announced the use of a coastal buffer zone as a disaster prevention mechanism. Based on the buffer zone policy, government initially estimated 55,525 housing units could be reconstructed in-situ through the homeowner-driven cash grant program financed by the World Bank and other donors, but that all other households would need to be relocated elsewhere. The buffer zone decision was based more on the need for government to provide an immediate response than on well-researched technical considerations and public consultation, and applying the decision to a densely populated coastal belt had profound implications on the environment, on livelihoods, and on the economy.

Almost immediately, the prohibition of reconstruction in the buffer zone set off a wave of land clearing for housing schemes in the hinterland (some in environmentally sensitive areas). No environmental assessment methodology or environmental management practices were enforced for site selection and construction. As a result, crucial environmental planning practices were ignored. Subsequently, due to many problems with implementation, the GOSL withdrew the buffer zone policy and reverted to the coastal protection zone (CPZ) setbacks stipulated in the Coastal Zone Management Plan already established by the Coast Conservation Department using scientific investigation.

Reverting to the CPZ was positive. It reduced the coastal population that needed to be relocated; the number of owner-driven in-situ grants was revised upward to 78,500 housing units. However, combined with poor communications with the public regarding the change, it also had negative consequences, delaying reconstruction by six months for many families who thought they would have to relocate. It also had a differential economic impact on families in the CPZ: they were offered a donor-built house irrespective of prior land ownership status when it was thought they would have to relocate, whereas families outside the CPZ were eligible for the cash grant, and only if they could document land ownership. Additionally, some poor families inside the buffer zone reportedly sold their land cheaply thinking they could not reconstruct in-situ. If this were widespread, it might have caused a redistribution of wealth in the coastal areas, although there is no documented evidence that this occurred.

Sources: World Bank, 2005, “Sri Lanka Post-Tsunami Recovery Program Preliminary Damage and Needs Assessment,” http://go.worldbank.org/BSJBQ6RHI0;  and World Bank, 2009, “Tsunami Emergency Recovery Program, Implementation Completion and Results Report,” Report No. ICR00001105.  

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Resources

FEMA. 2004. Communication Strategy Toolkit. Washington, DC: FEMA. http://www.fema.gov/library/viewRecord.do?id=1774.

FEMA. 2004. Primer for Design Professionals: Communicating with Owners and Managers of New Buildings on Earthquake Risk (FEMA 389). Washington, DC: FEMA. http://www.fema.gov/library/viewRecord.do?id=1431.

FEMA. 2001. Telling the Tale of Disaster Resistance: A Guide to Capturing and Communicating the Story. Denver: FEMA Region VIII.

FEMA. 2004. Using HAZUS-MH for Risk Assessment: How-To Guide (FEMA 433). Washington, DC: FEMA. http://www.fema.gov/library/viewRecord.do?id=1985.

United States Agency for International Development Office of U.S. Foreign Disaster Assistance. “Preparedness and Mitigation Programs.” http://www.usaid.gov/our_work/humanitarian_assistance/disaster_assistance/publications/prep_mit/index.html.

United Nations International Strategy for Disaster Reduction (UNISDR). “Library on Disaster Risk Reduction.” http://www.unisdr.org/eng/library/lib-index.htm.

World Bank, Global Facility for Disaster Reduction and Recovery, http://gfdrr.org.

World Bank, “Disaster Risk Management,” http://go.worldbank.org/BCQUXRXOW0.

 

Annex: Sources of Disaster Data
Hazard Data

Hazard

Type of data/use

Potential data sources

Cyclone

Land cover data/Wind barriers (trees, buildings); damage (flying objects, fallen trees)

A, E, NR, FS, RSA, PRSF, PL

Elevation data/Wind acceleration; coastal surge intrusion

A, E, PW, WR, RSA, PSIP

Bathymetry (shoreline water depth)/Storm-surge hazard modeling

A, E, MA, NR, PW, WR

Wind speed maps

PL, PW

Coastline and still-water elevation maps/Storm-surge hazard modeling

A, E, MA, NR, PW, WR, PL

Drought

Precipitation and rain gauge data/Rainfall records and trends

A, ME, WR

Global humidity index

UNEP/GRID
University of East Anglia/ Climatic Research Unit

Earthquake

Soil maps/Ground motion patterns

A, E, I, L, NR, SS

Soil and ground conditions maps/Liquefaction susceptibility

DM, E, SS

Landslide potential data/Post-earthquake landslide potential

DM, E, SS

Fault line maps

A, DM, E, I, L, NR, SS

Fire

Fuel maps, land cover maps/Fire fuel sources

A, E, F, NR, RSA, PRSF

Critical weather data (low humidity, wind)

A, ME, WR

Land elevation/Predict fire speed

A, E, PW, WR, RSA, PSIP

Flood

Digital Elevation Model (DEM) or Digital Terrain Model (DTM) for bare earth/Predict water flow

A, E, PW, WR, RSA, PSIP

Contour data/Complements DEM/DTM data

PW, SW

Historic precipitation data

A, ME, WR, PL

Soil data/Areas of water infiltration

A, E, I, L, NR, SS

Locations of river and hydraulic structures (bridges, dams, levees)

A, E, I, L, NR, PW

Landslide

Slope data (DEM, DTM)/Areas of susceptibility

A, E, PW, WR, RSA, PSIP

Soils maps/Areas of high susceptibility

A, E, I, L, NR, SS

Land cover

A, E, F, NR, RSA, PRSF, PL

Tsunami

Bathymetry (shoreline water depths)/Tsunami hazard modeling

A, E, F, MA, NR, PW, WR

Coastline still-water elevations/Tsunami hazard modeling

A, E, F, MA, NR, PW, WR

Elevation data/Tsunami intrusion

A, E, PW, WR, RSA, PSIP

 
KEY: Public ministry, department, or agency: A=Agriculture and Fisheries, DM=Disaster Management, E=Environment, I=Irrigation, L=Land Management, F=Fisheries, MA=Maritime Affairs, ME=Meteorological, NR=Natural Resources, PL=Local Planning, PW=Public Works, WR=Water Resources, FS=Forestry, RSA=Remote Sensing Agencies (such as IKONOS or NASA’s ASTER), SW=Storm Water Management, SS=Soil Survey. Private sources: PRSF=Private Remote Sensing Firm, PSIP=Private Satellite Imagery Provider.
 
Vulnerability Data

Asset

Type Of Data/Use

Potential Data Sources

Population

Census data/population locations, vulnerable populations (e.g. Young, elderly, impoverished, etc.), and demographics

CSO, MP, MS

Buildings

Critical infrastructure – medical care/locations and capacities of hospitals and clinics

MH, MP

 

Critical infrastructure – police and civil defense/ locations and capacities of responders

CD, MP

 

Critical infrastructure – fire/ locations and capacities of responders

CD, MP

 

Building locations/structural damage and loss locations

CSO, MP, MS, PRSF, PSIP, RSA

 

Building characteristics/structural damage and loss quantification, building types, construction types, vulnerable characteristics (e.g. Roof type, first floor elevation, foundation type, etc.)

LB, MP, PRSF, PSIP, PW, RSA

 

Vulnerability functions/structural damage and loss quantification

ACOE, FIA, U

Transportation lifelines

Road data/damage locations, road closures

MP, MT, PRSF, PSIP, RSA

 

Bridge data/damage locations, bridge closures

MP, MT, PRSF, PSIP, RSA

 

Railroad data/damage locations, rail closures

MP, MT, PRSF, PSIP, PRC, RSA

 

Port data/damage locations, port closures, economic loss

MA, MP, MT, PRSF, PSIP, PPC, RSA

Utility lifelines

Electrical data/damage locations, power outages

MP, MPW, PW

 

Potable water data/damage locations, water availability

MP, MW, PW

 

Communication data/damage locations, communication outages

MC, MP, PW

 
 
KEY: ACOE=U.S. Army Corps of Engineers, CD=Civil Defense, CSO=Central Statistical Organization, FIA=Flood Insurance Administration, LB=Local Builders, MA=Maritime Affairs, MC=Ministry of Communications, MH=Ministry of Health, MP=Ministry of Planning, MPw=Ministry of Power, MS=Ministry of Statistics, MT=Ministry of Transportation, MW=Ministry of Water, PPC=Private Port Companies, PRC=Private Rail Companies, PW=Public Works, RSA=Remote Sensing Agencies, U=Universities.

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[1]. United Nations International Strategy on Disaster Reduction (UNISDR), 2009, “UNISDR Terminology on Disaster Risk Reduction,” http://www.unisdr.org/eng/terminology/terminology-2009-eng.html. Some institutions use these two terms synonymously.

[2]. A return period (or recurrence interval) is an estimated interval of time between hazard events of a certain intensity or size. It is a statistical measurement averaged over an extended period of time. The trauma of the disaster tends to cause people to underestimate recurrence intervals (i.e., assume the disaster will recur sooner than historical information would suggest).

[3]. Charles Scawthorne, 2009, “Disaster Reduction and Recovery: A Primer for Development Managers” (Washington, DC: World Bank).

[4]. International Code Council, http://www.iccsafe.org/.

[5]. U.S. Federal Emergency Management Agency (FEMA), 2001, Telling the Tale of Disaster Resistance: A Guide to Capturing and Communicating the Story (Denver: FEMA Region VIII), http://www.fema.gov/library/viewRecord.do?id=1762.

[6]. The comparison of mitigation options depends on knowing the improvement in vulnerability that will result from various mitigation options, relative to a baseline, information that may be very difficult to ascertain scientifically. Therefore, subjective judgment will often need to be exercised, which may be the judgment of the affected community itself, solicited using a participatory approach to evaluating alternative mitigation measures.

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Matrix of Disaster Project Features

MATRIX: Global Post-Disaster Housing Reconstruction Comparative Analysis

Areas of comparative analysis

Gujarat (India) earthquake
(2001)
Sri Lanka earthquake / tsunami (2004)
Indonesia (Aceh and Nias) earthquake / tsunami (2004)
Katrina (USA) hurricane
(2005)
Pakistan earthquake
(2005)
1. Scale of disaster
25,000 people dead and 200,000 injured, 600,000 displaced or homeless and 348,000 houses destroyed and 844,000 damaged as per initial survey.[1]
35,322 people dead and 21,441 injured, 500,000 displaced and 114,069 houses damaged or destroyed.
167,900 people dead or missing, 513,500 displaced and 113,500 houses damaged or destroyed as per initial survey.
1,836 dead and 705 missing, 0.6 Million displaced and 70,000 houses damaged or destroyed as per initial survey.
73,338 people dead and 128,304 injured 3.5 million people homeless, 462,363 houses destroyed and 109,956 damaged.
2. Reconstruction strategy
80% owner driven reconstruction program and 20% public-private partnerships (NGO’s) driven program.
As of November 2006, policy change leading to 73% owner driven reconstruction program and 27% donors or NGO-driven program.
100% donor and NGO driven program.
100% Government sponsored contractor driven program.
100% owner driven reconstruction program.
3. Government financial assistance
Not a uniform package, leading to equity issues. Assistance disbursed in 3 tranches. Compensation ranged from INR 5,000 to 90,000 (US$126 to 2277).
Uniform assistance package. Assistance of LKR 100,000 (US$880) disbursed in 2 tranches for partially damaged houses and LKR 250,000 (US$2,200) disbursed in 4 tranches for destroyed houses.
Uniform assistance package. Assistance of IDR 20 Million (US$2,000) for repairable (damaged) house and IDR 42 Million (US$4,200) for full construction of house (destroyed)
Not a uniform package. Assistance based on actual value of house and insurance cover. Assistance of up to US$150,000 available for homeowner.
Uniform assistance package. Assistance of PKR. 75,000 (US$1,250) for partially damaged house disbursed in 2 tranches and assistance of PKR 175,000 (US$2,917) for fully destroyed house disbursed in 4 tranches.
4. Government technical assistance and training
Government providing technical assistance through formal training program under which 29,000 masons and 6,200 engineers trained. Additional training through donor technical assistance packages taking place. GSDMA initiated mason training in collaboration with Gujarat Council of Vocational Training. 450 masons certified under the program as of October 2006.
Government providing technical assistance and advice but no formal training program exists.
Done by government through employing services of supervision consultants who are trained on new building codes and disseminate this information amongst beneficiaries. Provided beneficiaries with construction checklist and trained community members on how to identify faults. A technical field officer visited sites for technical assistance. NGOs conducted their own trainings and workshops of employed contractors for compliance with building codes.
US government through Pathway Construction Initiative provided $5.0 million to Mississippi and Louisiana to assist workers to enter the construction industry, while assisting critical rebuilding efforts in those states. In each state, Reconstruction Centers of Excellence were established to provide workforce services for the construction industry. FEMA inspected an estimated 1.9 Million homes. HUD worked with Home Depot to conduct workshops for affected homeowners on hurricane preparedness and repair of houses and distributed "Tech Sets" on storm resistant roofing and wind resistant openings. HUD Field Offices were established to coordinate all HUD technical assistance requests from local elected officials. 
The Government is providing technical assistance through launch of over 600 Army-led Assistance and Inspection (AI) teams as well as through establishment of 12 Housing Reconstruction Centers (HRCs) and engagement of services of over 26 NGO’s. As of October 2006, over 834,324 people had received trained in seismic resistance building techniques as well as general awareness training.
5. Government material facilitation
Government provided material facilitation through 1,082 Materials Banks opened through which subsidized steel and cement as well as excise duty and sales tax exemption for building materials in certain areas such as Kutch.
No formal material facilitation mechanisms rather interventions as and when required by District Secretaries.
BRR hired a technical advisor to assist in addressing the added stress of reconstruction on the supply chain and negate its impacts. This project was launched in 2006 to deal with the housing logistics challenge. WFP shipping service for carriage of construction materials launched at the request of BRR and UNORC in 2005.
No formal material facilitation mechanisms in place.
Government analyzed projected construction material requirements and formulated strategy for establishing a building materials supply chain. Consultations with the construction industry and transporters to establish benchmark prices. One hundred thirty two construction material hubs were established in the affected areas where materials were available at published rates.
6. Disbursement progress
As of first quarter of 2006 disbursements are calculated at INR 37.54 Billion (US$950 Million)2
As of October 2006, housing disbursements stood at US$98.15 Million.
As of October 2006, housing disbursements stood at US$557 Million.
US$113 Million in housing assistance disbursed by US Department of Housing and Urban Development (HUD) in collaboration with Federal Emergency Management Agency (FEMA) as of October 2006.
ERRA had disbursed over PKR 48 Billion (US$800 Million) as of October 2006.
7. Reconstruction progress
911,000 damaged houses repaired and over 201,000 houses reconstructed as of first quarter of 2006. In 5 years almost 58% of the destroyed houses have been reconstructed.
61,019 houses reconstructed after lapse of 3 years out of 114,069 houses and 47,995 are in progress out of total of 114,069 houses. So 53% of houses have been completed while 42% of houses are under construction and 5% houses are yet to be reconstructed.
90,861 houses reconstructed after lapse of 3 years out of 113,500 houses. Overall reconstruction progress is 80%.
As of October 2006, 2,000 damaged housing units repaired and leased while 20,000 new housing units leased to affected families. Reconstruction and rehabilitation progress is approximately 28%.
As of October 2006, 208,292 houses had been reconstructed including 99,247 destroyed houses and 109,045 damaged houses. Houses are constructed as per seismic standards. 349,000 houses are in reconstruction in. After first full year of reconstruction over 39% of the housing stock damaged or destroyed in earthquake has been reconstructed.
8. Ensuring compliance and building quality/ standards
Multi-hazard resistant construction ensured through payment of installments after engineer’s certification. Third party quality audit by National Council for Cement and Building Materials (NCCBM).
Construction as per minimum accepted standards ensured through direct donor / NGO assistance. Third party technical quality audits conducted in most divisions.
Third Party monitoring and evaluation through UN-Habitat to look at performance of housing program with respect to official building codes issued by the Indonesian government.
Construction as per building codes ensured through respective local governments of affected areas.
Housing grant is released after inspections and certification by AI Teams that the house is built as per seismically resistant standards.  Compliance monitoring teams and third party technical audits were used.
9. Communications strategy
Many general campaigns on safety and hazard risk awareness launched used electronic and print media and events such as festivals. However no housing specific campaign launched.
Program has suffered due to absence of a clear communications strategy and media relations strategy.
No strategic level communications rather field level interventions by BRR such as community outreach programs.
NGO’s such as The Center for Faith Based and Community Initiatives (CFBCI) developed and implemented a communication strategy including the production and distribution of Hurricane Toolkit: Recovery After the Storm, an informational guide to federal and local resources available to hurricane victims, and the organizations serving them. To date, over 50,000 hard copies have been distributed, and the publication has been posted on HUD's Web site. HUD sponsored workshops and summits to advise local governments, non-profits, and community groups of programs and assistance available from HUD.   
A comprehensive communications strategy and a public information campaign were launched. Print, electronic media, TV, and radio were used and over 600,000 posters and pamphlets distributed. Press briefings and regular media visits to the affected areas were arranged. NGO’s partnered with ERRA formulated and launched information programs during which adapted materials were disseminated and information kiosks were established at the Housing Reconstruction Centers (HRCs).
10. Grievance redressal mechanism
Grievance redressal through normal legal procedure of courts and ombudsman.
Formal grievance redressal mechanism absent, only normal legal channels available.
Informal grievance redressal mechanism.
135 FEMA Disaster Recovery Centers (DRCs) and local one-stop centers were established to facilitate assistance to the public during the recovery efforts. Staff gave on-site referrals of individuals and families to specific assistance sources and acted as a liaison with state and local partners to ensure effective service delivery and minimize grievances.  
ERRA established ten Data Resource Centers (DRCs) in affected areas to handle grievances and to facilitate payments. The DRCs acted as information centers for other problems. State and Province level Reconstruction Agencies were focal points for grievances related to incorrect bank account information. The respective Battalion Commanders of the Army in AJK and NWFP were the focal points for grievances related to surveys and inspections as well as requests for “Category Change”.  
11. Monitoring and evaluation (M&E) and data management
No formal M&E structure in GSDMA exists, however monitoring procedures established through Technical Assistance and housing beneficiary database established. 
The Government’s Development Assistance Database (DAD) monitored recovery and reconstruction operations. Shortcomings of the DAD were that it depended on regular inputs by donors and there are no established mechanisms to verify district level information.
M&E system established through UN-Habitat assistance. Information management a challenge. Gender-disaggregated data not available.
Formal M&E at FEMA as well as local governments and housing authorities. All individual agencies have own databases which in many cases have restricted access.
M&E wing established at ERRA. Housing beneficiary database established at NADRA with disbursement database accessible to all on ERRA Web site. Reporting, M&E system for housing developed with UN-Habitat assistance as well as Training Monitoring Information System (TMIS). Gender disaggregated data available.
12. Risk transfer mechanisms
Insurance to 14 types of hazards for 10 years at premium of INR 367 (US$9.2) deducted by the State from the last housing assistance installment.
Limited individual housing insurance policies.
Limited individual housing insurance policies.
FEMA’s National Flood Insurance Program (NFIP) provided funds to policyholders affected by Hurricane Katrina to help them rebuild or relocate. Virtually all claims closed by October 2006. NFIP claims represent more than $16.1 billion in payments to more than 205,000 policyholders, more than all other claims combined since NFIP inception in 1968.
No concept of housing insurance in the affected areas.
13. Ensuring transparency
Direct payments into bank accounts for which 660,000 accounts opened. Financial audits conducted.
Direct payments into bank accounts through two State Banks, Peoples Bank and Bank of Ceylon. Third Party beneficiary eligibility and financial audits conducted.
Establishment of an anti corruption unit within BRR and launch of programs such as PQAM, Procurement, Quality Assurance and Monitoring as well as introduction of a staff integrity pact at BRR voluntarily monitored by Transparency International (Indonesia).
The Office of Inspector General (OIG) developed and participated in a fraud prevention program to educate state agencies, and federal, State, and local law enforcement to identify fraud in HUD grant programs and other support programs. OIG established division to combat waste, fraud, and abuse in the Gulf Coast States. The Hurricane Recovery Audit Oversight Division audited disaster funding, worked with the HUD Office of Investigations, and other federal and state law enforcement agencies.
Direct payments into bank accounts for which 660,000 accounts opened.  internal audits as well as external audits through Auditor General of Pakistan’s Office conducted. All disbursement data available on ERRA Web site.
14. Program implementation challenges
Temporary shelters became permanent, disbursement delays, owner and tenant issues, and equity issues.
Equity issues, relocation issues, weak communications strategy, land availability, environmental issues, and providing land titles.
Land tenureandownership, damaged land and relocation, construction material costs, declining donor commitments, and land and spatial planning
High construction material costs, high labor costs, lengthy application procedure, and lengthy processing times.
Further increasing compliance, focusing on no work started cases, owner tenant issue, hazardous land issue, and scarcity of labor.
Source of table: Pakistan, Earthquake Recovery and Reconstruction Agency (ERRA), October 2007 (modified).
Sources for table:
 
ADB Capacity Building for Earthquake Rehabilitation and Reconstruction Technical Assistance Completion Report, 2006
Earthquake Reconstruction and Rehabilitation Authority (ERRA) GoP, Progress Report, 2007
Earthquake Reconstruction and Rehabilitation Authority (ERRA) GoP Rural Housing Reconstruction Policy
Earthquake Reconstruction and Rehabilitation Authority (ERRA) GoP Web site: www.erra.gov.pk
Federal Emergency Management Agency (FEMA), US Government Web site: www.fema.gov
Gujarat State Disaster Management Authority (GSDMA) Government of India Web site: www.gsdma.org
Gujarat State Disaster Management Authority (GSDMA, Government of India)-World Bank Quarterly Report, 2006
Institute for Crisis , Disaster and Risk Management (Washington DC) February 2003 Report   
Ministry of Finance and Planning GoSL and Reconstruction and Development Agency (RADA) GoSL Report, 2006
News Report on Web site: www.gujaratplus.com
Reconstruction and Rehabilitation Agency of Aceh and Nias (BRR) GoI Progress Report, 2006
Reconstruction and Rehabilitation Agency of Aceh and Nias (BRR) GoI Housing Policy Decree
Reconstruction and Rehabilitation Agency of Aceh and Nias (BRR) GoI Web site: www.brr.go.id
SUCI Gujarat State Committee Report, 2006   
The Brookings Institution (USA) Report: Katrina One Year On, 2006
The Institute for Southern Studies Special Report on Katrina Crisis, 2007
The Urban Institute (USA) Report: After Katrina, 2006
United Nations Development Program (UNDP) Report: Responding to Rapid Change – Technical Support for BRR, 2006
United Nations Disaster Assessment and Coordination (UNDAC) Team Bhuj (Gujarat) Final Report, 2001
United Nations Settlement Program (UN-Habitat, Indonesia) and BRR Housing Milestone Data, 2006
Update on US Government Web site on Katrina – What the Government is Doing: www.dhs.gov
US Department of Housing and Urban Development Web site: www.hud.gov
Web site: www.e-aceh-nias.org
Web site: www.indianngos.com  
Web site: www.reliefweb.int

 

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[1]. Initial survey figures changed as grievance cases were resolved through subsequent resurveys  .

 

Glossary

A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q-R, S, T, U-W, X, Y, Z

Accountability: The state of being accountable; liability to be called on to render an account. Adaptation: The adjustment in natural or human systems in response to actual or expected climatic or other stimuli or their effects, which moderates harm or exploits beneficial opportunities.

Adobe: Compressed earth, normally in the form of bricks or blocks.

Agency-driven reconstruction in relocated site (ADRRS): An agency-led approach in which an agency contracts the construction of houses on a new site, generally with little or no involvement with the community or homeowners.

Agency-driven reconstruction in situ (ADRIS): An agency-led reconstruction approach in which damaged houses are rebuilt, generally by a construction company, in pre-disaster locations.

All-hazards risk analysis: A determination of the nature and extent of risk developed by analyzing all potential hazards and evaluating existing conditions of vulnerability that could pose a potential threat or harm to people, property, livelihoods, and the environment on which they depend.

Apartment owner-occupant: The transitional reconstruction option in which the occupant owns his or her apartment, formally or informally.

Apartment tenant: The transitional reconstruction option in which the occupant rents the apartment, formally or informally.

Assessment: The survey of a real or potential disaster to estimate the actual or expected damages and to make recommendations for prevention, preparedness, response, and reconstruction.

Assistance scheme: A method for providing assistance to households after a disaster, allowing them to rebuild and to reestablish their way of life, which may include cash transfers, vouchers, and/or in-kind contributions.

Audit: An official examination and verification of accounts and records to analyze the legality and regularity of project expenditures and income, in accordance with laws, regulations, and contracts, such as loan contracts and accounting rules. May also analyze efficiency and effectiveness of use of funds.

Bandwidth: Capacity of ICT and telecom systems to transmit digital or analog data in a given time period. The slowest connection point can degrade bandwidth to that point referred to as a bandwidth bottleneck.

Baseline data: The initial information collected during an assessment, including facts, numbers, and descriptions that permit comparison with the situation that existed before and measurement of the impact of the project implemented.

Basic needs: The items that people need to survive. This can include safe access to essential goods and services such as food, water, shelter, clothing, health care, sanitation, and education.

Biological disaster: Disaster event caused by the exposure of living organisms to germs and toxic substances.

Bribery: Offering an inducement for a person to act dishonestly in relation to a business opportunity.

Build Back Better: Approach to reconstruction that aims to reduce vulnerability and improve living conditions, while also promoting a more effective reconstruction process.

Building code: A set of ordinances or regulations and associated standards intended to control aspects of the design, construction, materials, alteration, and occupancy of structures necessary to ensure human safety and welfare, including resistance to collapse, damage, and fire.

Building inspection: Inspections necessary to establish whether a damaged structure poses an immediate threat to life, public health, or safety, usually accompanied by a process of tagging.

Bunga houses: Structures built with compressed stabilized earth blocks.

Capacity development or capacity building: The process by which the capacities of people, organizations, and society are strengthened to achieve social and economic goals, through improvement of knowledge, skills, systems, and institutions.

Capacity: The combination of all physical, institutional, social, and/or economic strengths, attributes, and resources available within a community, society, or organization that can be used to achieve agreed-upon goals. Also includes collective attributes such as leadership and management.

Cash approach (CA): Unconditional financial assistance for housing reconstruction without technical support.

Cash transfers: Direct payments or vouchers to provide resources to affected populations to carry out housing reconstruction, in exchange for work on infrastructure projects, or for other purposes.

Catastrophe: A situation in which all or most people living in a community are affected along with the basic supply centers, making self-help impossible.

Civil society organization (CSO): National and local nongovernmental and not-for-profit organizations that express the interests and values of their members and/or others based on ethical, cultural, political, scientific, religious, or philanthropic considerations.

Climate change: Meteorological changes attributed directly or indirectly to human activity that alter the composition of the global atmosphere or to natural climate variability.

Climatological disaster: Disaster event caused by long-lived/meso- to macro-scale processes (in the spectrum from intraseasonal to multi-decadal climate variability).

Collusion: Cooperation between two or more parties to defraud or deceive a third party, usually with an anti-competitive purpose.

Community: A group of households that identify themselves in some way as having a common interest, bond, values, resources, or needs as well as physical space. A social group of any size whose members reside in a specific locality, share government, and often have a common cultural and historical heritage.

Community participation: A process whereby stakeholders can influence development by contributing to project design, influencing public choices, and holding public institutions accountable for the goods and services they provide; the engagement of affected populations in the project cycle (assessment, design, implementation, monitoring, and evaluation).

Community-based organizations (CBOs): Organizations whose principal concerns are the welfare and development of a particular community. CBOs may not represent all the households in a particular area.

Community-driven reconstruction (CDR): Approach to reconstruction that entails varying degrees of organized community involvement in the project cycle, generally complemented by the assistance of an agency that provides construction materials, financial assistance, and/or training.

Complaint mechanisms: Mechanisms that allow corruption to be reported by social actors, including public employees, ideally in a confidential manner.

Complex disasters: Multidimensional events of long duration often spawned by human-generated events, such as war and civil strife.

Conditional cash transfer: Cash given on the condition that the recipient does something (for example, rebuild a house, attend school, plant seeds, provide labor, or establish or reestablish a livelihood).

Conservation: Actions taken to secure the survival or preservation of buildings, cultural artifacts, natural resources, energy, or any other thing of acknowledged value to society.

Construction guidelines or standards: A document prepared by a recognized standard-setting organization that prescribes methods and materials for the safe use and consistent performance of specific technologies; sometimes developed by consensus of users.

Construction technology: The choice of building materials and the technique and means used to erect or repair a house.

Contingency planning: A management process that identifies and analyses potential events or situations that might threaten the society or the environment and establishes arrangements in advance to enable timely, effective, and appropriate responses to and recovery from any such events and situations.

Coping capacity: The manner in which people and organizations use existing resources to achieve various beneficial ends during unusual, abnormal, and adverse conditions of a disaster phenomenon or process.

Corruption: The misuse of an entrusted position for private gain by employing bribery, extortion, fraud, deception, collusion, and money-laundering, including gains accruing to a person’s family members, political party, or institutions in which the person has an interest.

Critical services: Services required to be maintained in the event of a disaster include power, water, sewer and wastewater, communications, education, emergency medical care, and fire protection/emergency services.

Cultural asset: Building, structure, landscape, object, or artifact that help establish a society’s social roots and history.

Cultural heritage: Movable or immovable objects, sites, structures, groups of structures, and natural features and landscapes that have archaeological, paleontological, historical, architectural, religious, aesthetic, or other cultural significance. May include historic buildings, historic areas and towns, archaeological sites, and the contents.

Cultural significance: The perceived value of an asset as a result of its continuity of presence and worth to society.

Damage assessment: The process utilized to determine the magnitude of damage caused by a disaster or emergency event.

Demolition: Destruction of damaged structures to (1) eliminate an immediate threat to lives, public health, safety, and improved public or private property or (2) ensure the economic recovery of the affected community to the benefit of the overall community.

Detailed assessment: An in-depth assessment of disaster impact, often of a single location or a single sector, such as housing or environment. (See “rapid assessment.”)

Disaster: A situation or event which overwhelms local capacity, necessitating a request to a national or international level for external assistance; an unforeseen and often sudden event that causes great damage, destruction and human suffering.



Disaster debris: Waste items such as trees, woody debris, sand, mud, silt, gravel, building components and contents, wreckage, vehicles, and personal property that remain after a disaster.

Disaster response: Process to address the immediate conditions that threaten the lives, economy, and welfare of a community.

Disaster risk: The magnitude of potential disaster losses (in lives, health status, livelihoods, assets and services) in a particular community or group over some time period arising from its exposure to possible hazard events and its vulnerabilities to these hazards.

Disaster risk management: The systematic process of using administrative directives, organizations, and operational skills and capacities to implement strategies, policies, and coping capacities of society and communities to lessen the adverse impacts of hazards and the possibility of disaster.

Disaster risk reduction: The practice of reducing disaster risks through systematic analysis and management of the causal factors of disasters, including reduced exposure to hazards, lessened vulnerability of people and property, wise management of land and the environment, and improved preparedness.

Early recovery: A process which seeks to catalyze sustainable development opportunities by generating self-sustaining processes for post-crisis recovery. It encompasses livelihoods, shelter, governance, environment, and social dimensions, including the reintegration of displaced populations, and addresses underlying risks that contributed to the crisis.

Early-warning system: The set of capacities needed to provide timely and meaningful information to enable individuals, communities, and organizations threatened by hazards to prepare and to act appropriately and in sufficient time to reduce loss of life, injury, livelihoods, damage to property and damage to the environment.

Earthquake: A sudden motion or trembling caused by a release of strain accumulated within or along the edge of earth's tectonic plates.

Economic security: Conditions that allow a household or community to meet its essential economic needs in a sustainable way without resorting to strategies which are damaging to livelihoods, security, and dignity.

Emergency management: The organization and management of resources and responsibilities for addressing all aspects of emergencies, in particular, preparedness, response, and initial recovery.

Emergency services: The set of specialized agencies that have responsibility to serve and protect people and property in emergency situations.

Empowerment: Authority given to an institution or organization (or individual) to determine policy and make decisions. Inclusion of people who are ordinarily outside of the decision making process.

Enabling environment: The rules and regulations, both national and local, which provide a supportive environment for a specific activity, such as community participation or DRM, to take place.

Environmental degradation: The reduction of the capacity of the environment to meet social and ecological objectives and needs.

Environmental impact assessment: The process by which the environmental consequences of a proposed project or program are evaluated, undertaken as an integral part of planning and decision-making processes with a view to limiting or reducing the adverse impacts of the project or program.

Equity: The quality of being impartial and "fair" in the distribution of development benefits and costs and the provision of access to opportunities for all.

Erosion: The washing away of soil and rocks along streams and hillsides on public and private property Erosion may cause a threat to health, safety, and the environment.

Exposure: The experience of coming into contact with an environmental condition or social influence that has a harmful or beneficial effect.

Extortion: Threatening another with adverse consequences unless demands, usually for payment, are met.

Flood: A general and temporary condition of partial or complete inundation of normally dry land areas from (1) the overflow of inland or tidal waters, (2) the unusual and rapid accumulation or runoff of surface waters from any source, or (3) mudflows or the sudden collapse of shoreline land.

Floodplain: Any land area, including a watercourse, susceptible to partial or complete inundation by water from any source. Floodplain maps show inundation limits for floods of selected recurrence intervals and are used for zoning, insurance, and other regulatory purposes regarding heath and safety.

Framework data: The seven themes of geospatial data that are used by most geographic information system (GIS) applications (geodetic control, orthoimagery, elevation and bathymetry, transportation, hydrography, cadastral, and governmental units). These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features.

Fraud: Deceiving another person in order to gain some financial or other advantage.

Geographic Information System (GIS): A computer system for the input, editing, storage, retrieval, analysis, synthesis, and output of location-based (also called geographic or geo-referenced) information. GIS may refer to hardware and software, or include data.

Geological hazard: Geological process or phenomenon that may cause loss of life, injury, and other health impacts, property damage, loss of livelihoods and services, social and economic disruption, or environmental degradation.

Geophysical disasters: Seismic events (such as earthquakes, tsunamis, volcanic eruptions, landslides) related to the motion of the earth’s tectonic plates.

Geo-referenced (or geo-spacial) information: Data, photos, or videos referenced geographically (for or by a GIS) relating to earth’s physical features and attributes such as latitude, longitude, or locality/jurisdiction. Can be used to assess damage, map hazards, identify natural and materials resources and critical infrastructure at risk, plan restoration, monitor progress, and evaluate results on maps using a GIS.

GLIDE (GLobal IDEntifier): A system of unique disaster identifying numbers which when referenced in data sets will save time; create a common reference point for relating Bank projects to diverse and scattered sources of data; and eliminate confusion.

Hazard: A natural process or phenomenon, or a substance or human activity, that can cause loss of life, injury, and other health impacts, property damage, loss of livelihoods and services, social and economic disruption, or environmental degradation.The probability of occurrence, within a specific period of time in a given area, of a potentially damaging natural phenomenon.

Hazard mapping: The process of establishing geographically where and to what extent particular hazards are likely to pose a threat to people, property, or the environment.

Hazardous materials (HAZMAT): Any substance or material that, when involved in an accident and released in sufficient quantities, poses a risk to people’s health, safety, and/or property. Includes explosives, radioactive materials, flammable liquids or solids, combustible liquids or solids, poisons, oxidizers, toxins, and corrosive materials.

Heritage: The combined creation and products of nature and of man that make up the living environment in time and space, including monuments, archeological sites, and movable heritage collections, historic urban areas, vernacular heritage, cultural landscapes (tangible heritage, which include natural and cultural sites), and living dimensions of heritage and all aspects of the physical and spiritual relationship between human societies and their environment (intangible heritage).

Historic preservation: A professional endeavor that seeks to preserve, conserve and protect buildings, objects, landscapes or other artifacts of historic significance.

Host families: A transitional settlement option sheltering the displaced population within the households of local families or on land or in properties owned by them.

House design: The form, dimensions, natural lighting, ventilation, and spatial organization of dwellings.

House owner-occupant: Tenure option where the occupant owns the house and land or is in part-ownership, such as when repaying a mortgage or loan. Ownership may be formal or informal.

House tenant: Tenure option where the house and land are rented by the occupant, formally or informally.

Household: Members of the same family unit sharing common income and expenditure sources. This definition may vary from context to context.

Housing: The immediate physical environment, both within and outside of buildings, in which families and households live and which serves as shelter.

Housing standard: Level of quality of a dwelling generally linked with the social level of the residents (including size, location, architecture, cost, workmanship quality).

Housing-sector assessment: An assessment to collect information such as demographic data, housing types, housing tenure situations, settlement patterns before and after the disaster, government interventions in the housing sector, infrastructure access, construction capacity, and market capacity to provide materials and labor for reconstruction.

Hydraulics: A branch of science or engineering that addresses fluids (specially water) in motion, water’s action in rivers and channels, and works for raising water.

Hydrological disaster: Disaster event caused by deviations in the normal water cycle and/or overflow of bodies of water caused by wind set-up.

Hydrology: The scientific study of the waters of the earth, especially with relation to the effects of precipitation and evaporation on water in streams, lakes, and on or below the land surface.

Hydrometeorological disasters: The result from weather-related events, such as tropical water-related occurrences (hurricanes, typhoons, cyclones), windstorms, winter storms, tornadoes, and floods.

Hydrometeorological hazard: Process or phenomenon of atmospheric, hydrological or oceanographic nature that may cause loss of life, injury, and other health impacts, property damage, loss of livelihoods, and services, social and economic disruption, or environmental degradation.

Hyogo Framework for Action: The agreed framework of actions to reduce disaster risks from 2005–2015 established by more than 190 countries following the World Conference on Disaster Risk Reduction held in Kobe, Hyogo Japan, January 2005.

Indicator: Quantitative or qualitative factor or variable that provides a simple and reliable means to measure achievement or to reflect the changes connected to an operation.

Inflation: An increase in the supply of currency or credit relative to the availability of goods and services, resulting in higher prices and a decrease in the purchasing power of money.

Information and communications technologies (ICT): The collective technology used to create, store, exchange, analyze, and process information in all its forms integrated with the procedures and resources to collect, process, and communicate data.

Infrastructure: Systems and networks by which public services are delivered, including: water supply and sanitation; energy and other utility networks; and transportation networks for all modes of travel, including roads and other access lines.

Integrity pact: An agreement between government and bidders for public contracts that neither side will pay, offer, demand, or accept bribes nor collude with competitors in obtaining or carrying out the contract.

Internally displaced persons: Persons or groups of persons who have been forced or obliged to flee or to leave their homes or places of habitual residence—in particular as a result of or in order to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters—and who have not crossed an internationally recognized state border.

Interoperability: The capability of different ICT applications to exchange data via common exchange, file formats, and protocols. In the broadest sense, interoperability takes into account the social, political, language, and organizational factors that impact system performance.

Land tenant: Tenure option in which the house is owned but the land is rented, formally or informally.

Land use planning: The process undertaken by public authorities to identify, evaluate, and decide on different options for the use of land areas, including consideration of (1) long-term economic, social, and environmental objectives; (2) the implications for different communities and interest groups; and (3) the subsequent formulation and promulgation of plans that describe the permitted or acceptable uses. (See “physical planning.”)

Landslide: Downward movement of a slope and materials under the force of gravity.

Lifelines: Public facilities and systems that provide basic life support services such as water, energy, sanitation, communications, and transportation.

Liquefaction: The phenomenon that occurs when ground shaking causes loose soils to lose strength and act like viscous fluid, which, in turn, causes two types of ground failure: lateral spread and loss of bearing strength.

Livelihoods: The ways in which people earn access to the resources they need, individually and communally, such as food, water, clothing, and shelter.

Logical framework (logframe): A conceptual tool used to define project, program, or policy objectives, and expected causal links in the results chain, including inputs, processes, outputs, outcomes, and impact. It identifies potential risks as well as performance indicators at each stage in the chain.

Loss assessment: Analyzes the changes in economic flows that occur after a disaster and over time, valued at current prices.

Management information systems: ICT-base systems used to analyze related past, present, and predictive information in conjunction with operational methods and processes to help post-disaster initiatives run efficiently.

Market analysis: Research undertaken to understand how a market functions, how a crisis has affected it, and the need for and most appropriate form of support. Research can include information on supply and demand of goods and services, price changes, and income/salary data.

Metadata: Information about data, such as content, source, vintage, accuracy, condition, projection, responsible party, contact phone number, method of collection, and other characteristics or descriptions.

Meteorological disaster: Disaster event caused by short-lived/small to meso-scale atmospheric processes (in the spectrum from minutes to days).

Microfinance: A broad range of small-scale financial services (such as deposits, loans, payment services, money transfers, and insurance) to poor and low-income households and their microenterprises.

Mitigation: The lessening or limitation of the adverse impacts of hazards and related disasters.

Money-laundering: Moving cash or assets obtained by criminal activity from one location to another in order to conceal the source.

Monitoring: The ongoing task of collecting and reviewing program-related information that pertain to the program’s goals, objectives, and activities.

Morphology: The size, form and structure of an object (such as a house).

National platform for disaster risk reduction: A generic term for national mechanisms for coordination and policy guidance on disaster risk reduction that are multisectoral and inter-disciplinary in nature, with public, private and civil society participation involving all concerned entities within a country.

Natural hazard: Natural process or phenomenon that may cause loss of life, injury and other health impacts, property damage, loss of livelihoods and services, social and economic disruption, or environmental degradation.

Needs assessment: A process for estimating (usually based on a damage assessment) the financial, technical, and human resources needed to implement the agreed-upon programs of recovery, reconstruction, and risk management. It evaluates and “nets out” resources available to respond to the disaster.

Nongovernmental organization (NGO): A nonprofit, voluntary, service-oriented, and/or development-oriented organization, operated either for the benefit of its members or of other members, such as an agency. Also, civil society organization (CSO).

Nonstructural measures: Any measure not involving physical construction that uses knowledge, practice or agreement, to reduce risks and impacts, in particular through policies and laws, public awareness raising, training and education. (See “structural measures.”)

Occupancy with no legal status: Occupancy option in which the occupant occupies property without the explicit permission of the owner. Also called a “squatter.”

Open source: Nonproprietary software code and applications developed by a community of interested developers and made freely available (without a license) for use and further development. For example, Linux and many Google applications.

Open standards: Standards for ITC made available to the general public and are developed (or approved) and maintained via a collaborative and consensus-driven process. Open standards facilitate interoperability and data exchange among different products or services and are intended for widespread adoption.

Operating energy: The energy consumed by a building for heating, cooling, lightening and ventilating.

Owner-driven reconstruction (ODR): A reconstruction approach in which the homeowner undertakes rebuilding with or without external financial, material and technical assistance.

Participatory assessment: An approach to assessment that combines participatory tools with conventional statistical approaches intended to measure the impact of humanitarian assistance and development projects on people’s lives.

Physical planning: A design exercise based on a land use plan used to propose the optimal infrastructure for public services, transport, economic activities, recreation, and environmental protection for a settlement or area. A physical plan can have both rural and urban components, although the latter usually predominates. (See “land use planning.”)

Post-disaster needs assessment (PDNA): Usually a rapid, multi-sectoral assessment that measures the impact of disasters on the society, economy, and environment of the disaster-affected area.

Preparedness: The knowledge and capacities developed by governments, professional response and recovery organizations, communities, and individuals to effectively anticipate, respond to, and recover from the impacts of likely, imminent or current hazard events or conditions.

Prevention: Activities to provide outright avoidance of the adverse impact of hazards and means to minimize related environmental, technological and biological disasters; in the context of public awareness and education related to disaster risk reduction, changing attitudes and behavior to promote a “culture of prevention.”

Probability: A statistical measure of the likelihood that a hazard event will occur.

Project cycle (also “project life cycle”): The sequence of activities that make up a project and how they relate to one other, generally: identification, preparation, appraisal, presentation and financing, implementation, monitoring, and evaluation.

Qualitative data: Information based on observation and discussion that can include perceptions and attitudes.

Quantitative data: Numerical information, such as numbers of intended recipients, payments disbursed, cash transferred, or days worked broken down by gender, age, and other variables.

Rapid assessment: An assessment that provides immediate information on needs, possible intervention types, and resource requirements. May be conducted as a multi-sectoral assessment or in a single sector or location. (See “detailed assessment.”)

Reconstruction: The restoration and improvement, where possible, of facilities, livelihoods, and living conditions of disaster-affected communities, including efforts to reduce disaster risk factors. Focused primarily on the construction or replacement of damaged physical structures, and the restoration of local services and infrastructure.

Recovery: Decisions and actions taken after a disaster to restore or improve the pre-disaster living conditions of the affected communities while encouraging and facilitating necessary adjustments to reduce disaster risk. Focused not only on physical reconstruction, but also on the revitalization of the economy, and the restoration of social and cultural life.

Recurrence interval: The time between hazard events of similar size in a given location based on the probability that the given event will be equaled or exceeded in any given year.

Regulatory measures: Legal and other regulatory instruments established by government to prevent, reduce, or prepare for losses, such as those associated with hazard events, such as land use regulations in high-risk zones.

Relief: The provision of assistance or intervention immediately after a disaster to meet the life preservation and basic subsistence needs of those people affected.

Relocation: A process whereby a community’s housing, assets, and public infrastructure are rebuilt in another location.

Remittances: Payments sent from migrant workers to family members in the country of origin.

Remote sensing: A field of study where the goal is to infer the properties of the earth’s surface or the atmosphere itself without being in direct contact with them. Post-disaster remote sensing includes imagery of the disaster area captured from aircraft and satellites to study changes to the landscape or structures.

Repair: Restoration to working order following decay, damage, or partial destruction.

Repair cost: The cost associated with the replacement or restoration of damaged components. It does not include upgrades of other components triggered by codes and standards, design associated with upgrades, demolition of the entire facility, site work, or applicable project management costs.

Replacement cost: The cost for all work necessary to provide a new facility of the same size or design capacity and function as the damaged facility in accordance with all current applicable codes and standards.

Resettlement (involuntary resettlement): Direct economic and social losses resulting from displacement caused by land taking or restriction of access to land, together with the consequent compensatory and remedial measures. Generally related to infrastructure projects or changes in land use for public purposes. Relocation is one mitigation measure considered in carrying out resettlement.

Residual risk: The risk that remains in unmanaged form, even when effective disaster risk reduction measures are in place, and for which emergency response and recovery capacities must be maintained.

Resilience: The ability of a system, community, or society potentially exposed to hazards to resist, absorb, adapt to, and recover from the stresses of a hazard event, including the preservation and restoration of its essential basic structures and functions.

Response: The provision of emergency services and public assistance during or immediately after a disaster to save lives, reduce health impacts, ensure public safety, and meet the basic subsistence needs of the affected people.

Results framework: A tool for identifying and measuring objectives at the sector, country or regional level, usually laid out in diagrammatic form. It uses an objective tree to link high-level objectives through a hierarchy to program-level outcomes (and ultimately individual activities) and sets out a means by which achievement at all levels can be measured.

Retrofitting: Reinforcement or upgrading of existing structures to become more resistant and resilient to the forces of hazards.

Return period: The estimated likelihood of a disaster reoccurring in an area; a series of probable events.

Rights-based assessment: Evaluates whether people’s basic rights are being met. The basis is generally considered to be the United Nations Universal Declaration of Human Rights.

Risk: The probability that a particular level of loss will be sustained by a given series of elements as a result of a given level of hazard. Elements under threat can include populations, communities, the built environment, the natural environment, economic activities, and services.

Risk analysis: A determination of the nature and extent of risk by analyzing potential hazards and evaluating existing conditions of vulnerability that could pose a potential threat or harm to people, property, livelihoods, and the environment on which they depend.

Risk assessment: A methodology to determine the nature and extent of risk by analyzing potential hazards and evaluating existing conditions of vulnerability that together could potentially harm exposed people, property, services, livelihoods, and the environment on which they depend.

Risk atlas: A series of maps showing community damages and losses as well as hazard areas for a series of probable events; a separate map is generated for each return period event. (See “return periods.”)

Risk management: The systematic approach and practice of managing uncertainty and potential losses through a process of risk assessment and analysis and the development and implementation of strategies and specific actions to control, reduce, and transfer risks.

Risk transfer: The process of formally or informally shifting the financial consequences of particular risks from one party to another whereby one party (a household, community, enterprise, or state authority) will obtain post-disaster resources from another party in exchange for ongoing or compensatory social or financial benefits.

Satellite imagery: Images captured from above the earth using remote sensing technology.

Secondary hazard: A threat whose potential would be realized as the result of a triggering event that itself constitutes an emergency (for example, dam failure can be a secondary hazard associated with earthquakes).

Shelter: A habitable covered living space, providing a secure, healthy living environment with privacy and dignity for the groups, families, and individuals residing within it.

Social protection: Public measures to provide income security to the population. Use of social risk management to reduce the economic vulnerability of households and to help smooth consumption patterns.

Social safety net: Generally refers to non-contributory transfers (in cash or in kind), targeted at both populations at risk of economic destitution and the permanently poor, designed to keep their income above a specified minimum level.

Squatter: A person occupying a housing unit or land without legal title to it.

Stakeholders: All those agencies and individuals who have a direct or indirect interest in a humanitarian intervention or development project, or who can affect or are affected by the implementation and outcome of it. 

Storm surge: Rise in the water surface above normal water level on the open coast due to the action of wind stress and atmospheric pressure on the water surface.

Structural measures: Any physical construction to reduce or avoid possible impacts of hazards, or application of engineering techniques to achieve hazard-resistance and resilience in structures or systems. (See “nonstructural measures.”)

Sustainable development: Development that meets the needs of the present without compromising the ability of future generations to meet their own needs.

Targeting: The identification and recruiting of potential compensation recipients by local communities, government, or external agencies.

Transitional reconstruction: The processes by which populations affected but not displaced by conflict or natural disasters achieve durable solutions to their settlement and shelter needs.

Transitional settlement: the processes by which populations affected and displaced by conflict or natural disasters achieve settlement and shelter throughout the period of their displacement, prior to beginning transitional reconstruction.

Transitional shelter: Shelter that provides a habitable covered living space and a secure, healthy living environment with privacy and dignity for those within it during the period between a conflict or natural disaster and the achievement of a durable shelter solution.

Unconditional cash transfers: Cash transfers from governments or NGOs given without conditions attached to individuals or households, with the objective of alleviating poverty, providing social protection, or reducing economic vulnerability. (See "conditional transfers.").

User-driven reconstruction: Similar to owner-driven reconstruction, the approach in which the occupant of the property may not be the owner in a formal sense but may still possess sufficient property rights or sense of ownership to be willing to take on the reconstruction responsibility. 

Vernacular architecture: The dwellings and other buildings that reflect people’s environmental contexts and available resources, customarily owner- or community-built, utilizing traditional technologies. Vernacular architecture reflects the specific needs, values, economies, and ways of life of the culture that produces them. They may be adapted or developed over time as needs and circumstances change.

Vulnerability: The relative lack of capacity of a community or ability of an asset to resist damage and loss from a hazard.The conditions determined by physical, social, economic, political, and environmental factors or processes that increase the susceptibility of a community to the impact of hazards.

Vulnerable groups: Groups or members of groups particularly exposed to the impact of hazards, such displaced people, women, the elderly, the disabled, orphans, and any group subject to discrimination.

Warning systems: Mechanisms used to persuade and enable people and organizations to take actions to increase safety and reduce the impacts of a hazard.

Watershed: An area of land from which all of the water under it or on it drains to the same place, which may be a river, lake, reservoir, estuary, wetland, sea or ocean.

Index