Table 1 Literature review.
From: Measuring disaster resilience in MENA countries and its impact on disaster losses
Authors | Region | Methodology | Context | Dimension | # ind |
|---|---|---|---|---|---|
Country based studies | |||||
US | An integration of the literatures | The disaster resilience of place (DROP) model | Ecological, Social, Economic, Institutional, Infrastructure, Community Competence | 29 | |
Two regions of US: Sikeston, Missouri and Carbondale, Illinois | Model construction based on survey data | Disaster preparedness model | Fire Protection, Emergency Medical Services, Public Safety/Police, Planning and Zoning, Emergency Management Office, Other Emergency Functions, Additional Community Measures, Hazard Exposure, Evacuation and Warnings, Community Resiliency | 47 | |
Region IV of US | Indexation using equal weights | Baseline resilience indicators for communities (BRIC) | Social, Economic, Institutional, Infrastructure, Community Capital | 36 | |
US Gulf Coast Counties | Indexation using equal weights | Community disaster resilience index | Social Capital, Economic Capital, Physical Capital, Human Capital | 75 | |
USA | Survey | Social vulnerability index (SVI) | Socioeconomic Status, Household Composition and Disability, Minority Status & Language, Housing & Transportation | 15 | |
US settlements | Indexation using equal weights | BRIC | Social, Economic, Institutional, Infrastructure, Capital, Environment | 49 | |
Korea | Indexation using PCA | Community disaster resilience index | Human, Social, Economic, Environmental, Institutional | 24 | |
Iran | Literature review | Social vulnerability | Gender; Demographic Characteristics, Socio-Economic Conditions, Public Resource Provision, Disability & Special Needs | – | |
Italy | Adjusted Mazziotta-Pareto (AMP) | Community disaster resilience index | Services, Cohesion, Economic Resources, Housing Conditions, Education, Environmental Status, Institutions | 27 | |
Norway | Indexation by using equal weighting | Community resilience index | Social, Economic, Institutional, Infrastructure, Capital, Environment | 52 | |
Australia | Indexation by using equal weighting | Australian natural disaster resilience index | Coping Capacity: social character, economic capital, infrastructure and planning, emergency services, community capital, information & engagement. Adaptive Capacity: governance, policy & leadership, social & community engagement | 78 | |
Coastal Communities of the US | Indexation using PCA | Composite Community disaster resilience index | Social, Economic, Community Engagement & Capital, Housing/Infrastructural, Environmental Resilience | 25 | |
China | Indexation using PCA | Regional resilience capacity index | Ecology, Economy, Engineering, Society | 28 | |
New Jersey, US | Pre-determined weights | Community intrinsic resilience index | Transportation, Energy, Health, Socio-Economic Indicators | 15 | |
Australia | In-depth semi-structured interviews | Preparedness competence index | Recognition and Personalisation of Risk, Formal Planning at all Levels, Personal Characteristics of Individuals in Target Communities | – | |
USA | Survey and Machine Learning | Disaster preparedness | – | – | |
Castilla y Leon, Spain | Indexation using HAS and PCA | Integrated multidimensional resilience index | Social, Economic, Ecosystem, Physical, Institutional, Cultural | 191 | |
Multiple country studies | |||||
91 countries | Indexation using PCA | Natural disasters resilience index | Economic Stability, Emergency Workforce, Agricultural Development, Human Capital, Digitalization, Infrastructure, Governance, Women Empowerment, Social Capital | 62 | |
90 countries | Indexation using PCA | Natural disasters resilience index | Economic Performance, Human Capital, Women Empowerment, Social Capital, Emergency Workforce, Infrastructure, ICT, Institutional Quality, Food & Agriculture | 62 | |
