Constructing a social vulnerability index to earthquake hazards using a hybrid factor analysis and analytic network process (F’ANP) model

Zebardast, Esfandiar

doi:10.1007/s11069-012-0412-1

Cited by 84 publications

(61 citation statements)

References 25 publications

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“…Similar variables had been adopted in existing SVI studies. 14,[17][18][19]37 The higher the percentage of older people with disabilities, the larger the SVI.…”

Section: Disabilitymentioning

confidence: 99%

“…2,12 Most SVIs include the number or percentage of older people as one of the variables. [13][14][15][16][17][18] Since the older population is a heterogeneous subgroup with different levels of vulnerability, there is a need to go beyond merely describing this group by its population size and more deeply examine the characteristics of this high-risk subgroup. Despite the rapidly aging population, the ratio of the older population to the whole population still constitutes a minority.…”

Section: Introductionmentioning

confidence: 99%

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Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples

et al. 2014

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Many world cities have suffered large-scale disasters, causing a significant loss of lives, property damage, and adverse social and economic impact. Those who are most vulnerable during and in the immediate aftermath of disaster crises are the elderly. Therefore, it is imperative to identify them and determine their specific needs in order to support them. Although several Social Vulnerability Indexes (SVIs) have been developed to assess different types of disaster vulnerability across geographic and population levels, few have been tailored to the older population. Building on the research of Gusmano et al., this study modifies and uses an SVI specifically designed to assess the vulnerability of older populations to emergencies and disasters across seven domains, namely, population size, institutionalization, poverty, living alone, disability, communication obstacles, and access to primary care. Moreover, it is acknowledged that availability of data largely depends on the local context and is always a barrier to production of indices across countries. The present study offers suggestions on how modifications can be made for local adaptation such that the SVI can be applied in different cities and localities. The SVI used in this study provides information to stakeholders in emergency preparedness, not only about natural disasters but also about health hazards and emergencies, which few existing SVI address.

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“…Similar variables had been adopted in existing SVI studies. 14,[17][18][19]37 The higher the percentage of older people with disabilities, the larger the SVI.…”

Section: Disabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples

et al. 2014

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“…In order to effectively reduce the adverse effects of a flood disaster, it is necessary to enhance the understanding of the social vulnerability of flood-hazard-prone areas (Cutter et al, 2003Zhang and You, 2014). Since Cutter developed a social vulnerability index to measure the social vulnerability to environmental hazards (Cutter et al, 2003), there has been growing concern and interest in this area (Bjarnadottir et al, 2011;Noriega and Ludwig, 2012;Zebardast, 2013;Siagian et al, 2014;Garbutt et al, 2015). For example, Noriega and Ludwig (2012) assessed the social vulnerability to local earthquake risk in Los Angeles County, California, United States, and they found that "knowledge of the relationship between earthquake hazard and the demographic characteristics of people in the area at risk is essential to mitigate the local impact from earthquakes".…”

Section: Introductionmentioning

confidence: 99%

Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China

Liu

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Evaluating social vulnerability is a crucial issue in risk and disaster management. In this study, a household social vulnerability index (HSVI) to flood hazards was developed and used to assess the social vulnerability of rural households in western mountainous regions of Henan province, China. Eight key indicators were identified using existing literature and discussions with experts from multiple disciplines and local farmers, and their weights were determined using principle component analysis (PCA) and an expert scoring method. The results showed that (1) the ratio of perennial work in other places, hazard-related training and illiteracy ratio (15+) were the most dominant factors of social vulnerability. (2) The numbers of high, moderate and low vulnerability households were 14, 64 and 16, respectively, which accounted for 14.9, 68.1 and 17.0 % of the total interviewed rural households, respectively. (3) The correlation coefficient between household social vulnerability scores and casualties in a storm flood in July 2010 was significant at 0.05 significance level (r = 0.748), which indicated that the selected indicators and their weights were valid. (4) Some mitigation strategies to reduce household social vulnerability to flood hazards were proposed, which included (1) improving the local residents' income and their disaster-related knowledge and evacuation skills, (2) developing emergency plans and carrying out emergency drills and training, (3) enhancing the accuracy of disaster monitoring and warning systems and (4) establishing a specific emergency management department and comprehensive rescue systems. These results can provide useful information for rural households and local governments to prepare, mitigate and respond to flood hazards, and the corresponding strategies can help local households to reduce their social vulnerability and improve their ability to resist flood hazard.

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“…The second factor is the structure and materials of buildings, which are related to property losses and casualties directly or indirectly. The third factor is individual characteristics, including socioeconomic status (income, political power and prestige), gender, age, education and cultural background (Zebardast 2013;Gabriela and Lisa 2012). These individual characteristics are related to the reaction of people when facing disasters.…”

Section: Discussionmentioning

confidence: 99%

Empirical seismic vulnerability curve for mortality: case study of China

Jin

Pan

2015

Nat Hazards

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Most seismic casualty estimations are based on the vulnerability of various categories of structure and facilities in the region concerned. These approaches require detailed inventory database of the structures and facilities in the region. In China, however, the data is not always available, especially for some underdeveloped regions. This motivates the development of empirical models that use historical casualty data for earthquakes and provide a country-or region-specific earthquake death rate as a function of ground shake. However, diminishing divergences in fitting method and obtaining higher accuracy are still a great challenge. Building on the findings of previous research, the present paper employs vulnerability curves to express the relation between seismic intensity and mortality. From data of the death rate by intensity, curves are established for the whole of China and western China. Some methodological improvements are also discussed. To validate the curves, data from four recent strong earthquakes occurred in western China are used, and the best curves for estimation are selected and compared with similar models. Results indicate that the established curves for western China give a better estimation for the four earthquakes and the logistic functions show higher accuracy. They can be used to clarify the magnitude of seismic deaths in western China when structure and facility data are unavailable. Uncertainties and the application of the models are also analyzed and discussed in the conclusion.

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Constructing a social vulnerability index to earthquake hazards using a hybrid factor analysis and analytic network process (F’ANP) model

Cited by 84 publications

References 25 publications

Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples

Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples

Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China

Empirical seismic vulnerability curve for mortality: case study of China

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