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Social Vulnerability to Environmental Hazards

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The article was published on 2010-01-01 and is currently open access. It has received 1006 citations till now. The article focuses on the topics: Social vulnerability & Vulnerability.

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Citations
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Journal ArticleDOI

Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness

TL;DR: To build collective resilience, communities must reduce risk and resource inequities, engage local people in mitigation, create organizational linkages, boost and protect social supports, and plan for not having a plan, which requires flexibility, decision-making skills, and trusted sources of information that function in the face of unknowns.
Journal ArticleDOI

A place-based model for understanding community resilience to natural disasters

TL;DR: In this article, the disaster resilience of place (DROP) model is proposed to improve comparative assessments of disaster resilience at the local or community level, and a candidate set of variables for implementing the model are also presented as a first step towards its implementation.
Journal ArticleDOI

Disaster Resilience Indicators for Benchmarking Baseline Conditions

TL;DR: In this article, the authors provide a methodology and a set of indicators for measuring baseline characteristics of communities that foster resilience by establishing baseline conditions, it becomes possible to monitor changes in resilience over time in particular places and to compare one place to another.
Journal ArticleDOI

A Social Vulnerability Index for Disaster Management

TL;DR: In this article, the development of a social vulnerability index (SVI) from 15 census variables at the census tract level for use in emergency management is described, and the potential value of the SVI by exploring the impact of Hurricane Katrina on local populations.
Journal ArticleDOI

Framing vulnerability, risk and societal responses: the MOVE framework

TL;DR: The framework presented enhances the discussion on how to frame and link vulnerability, disaster risk, risk management and adaptation concepts and shows key linkages between the different concepts used within the disaster risk management (DRM) and climate change adaptation research.
References
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Exitus: an agent-based evacuation simulation model for heterogeneous populations

TL;DR: How long evacuations of heterogeneous populations may be expected to last, who the most vulnerable groups of people are, the risk engendered from particular design features for individuals with disabilities, and the potential benefits from adopting alternate evacuation strategies, among others are shown.
Proceedings ArticleDOI

Multi-objective consideration of earthquake resilience in the built environment: The case of Wenchuan earthquake

TL;DR: A wide-spectrum analysis and preliminary findings are presented on the built environment damage analysis following the field work which took place in December 2016 in the Wenchuan territory, involving 3D laser scanning activity of 7 high-risk areas and the related audit and preliminary structural analysis of the damage.

Community clusters of tsunami vulnerability in the US

TL;DR: In this article, the authors introduce an analytical frame-work for describing variations in population vulnerability to tsunamis that integrates geospatial approaches to identify thenumber and characteristics of people in hazard zones, anisotropicpath distance models to estimate evacuation travel times to safety, and cluster analysis to classify communities with similar vulnerability.

Climate change in Native American communities: Challenges of comprehension, context, & communication

TL;DR: Freeland et al. as discussed by the authors investigated how US newspaper stories published from 1991 to 2011 present American Indian/Alaska Native (AI/AN) perceptions, and observations, of environmental changes resulting from climatic change.
Proceedings Article

The assessment of regional vulnerability to natural hazards in China

Jianyi Huang, +1 more
TL;DR: In this paper, a data envelopment analysis (DEA)-based model for the assessment of the regional vulnerability to natural disasters is presented to improve upon the traditional methods, and the results show that the overall level of vulnerability to the natural disasters of our country is high and the geographical pattern of vulnerability is western>Central>Eastern.
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