Type | Conference Paper - The 8th annual international conference of the international institute or infrastructure renewal and reconstruction |
Title | Integrated Vulnerability and Risk Assessment: Case Study in Coastal Communities, Jamaica |
Author(s) | |
Publication (Day/Month/Year) | 2012 |
City | Kumamoto |
Country/State | Japan |
URL | http://iiirr.ucalgary.ca/files/iiirr/B6-2_.pdf |
Abstract | A risk index model is proposed and applied in this st udy as a case study. The index model is a compilation and modification of existing models and takes into account four factors of risk: hazards, exposure, vulnerability and capacities and measures. The model utilizes a combination of quantitative, qualitative and contextual analyses to carry out a comprehensive assessment of vulnerability in the community of Portland Cottage, Clarendon, Jamaica. The disc ussions are generated from prim ary data collected via questionnaires administered during a field survey as well as observatio nal recordings. The findings revealed high levels of spatial risk and vulnerability. Relationships among so cial, economic, and demographic variables were identified as well as the influences of these vulnerabilit ies on risk and vulnerability. Reduced vulnerabilities were directly linked to increases in capacities an d measures, and increased vulnerabilities were related to weakened capacities and measures. Physical vulnerability was related to the geography of the site but has been aggravated by anthropogenic factors. Social vulnerab ility is largely a function of demography, poverty, tenure of property and perceptions. In the case of percep tions recent experiences have served to inform and modify corresponding attitudes and responses. This risk index model can be further used as an assessment measure which when applied readily informs communities of their risk level, highlights high risk areas that require governmental assistance as well as indicate those ar eas that require improved capacity and measures inputs. The results of the index model can be used to inform policy, augment the existing database in disaster management and enlighten the decision making process for disaster mitigation. |
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