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Vulnerability modelling to improve assessment process on community vulnerability

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posted on 2024-11-23, 09:49 authored by Adjie Pamungkas, Sarah BekessySarah Bekessy, Ruth Lane
Most vulnerability assessment is conducted by assessing geographical areas based on their vulnerability levels with the aim of using those results for applied public policies on disaster risk management (DRM). This assessment process has been criticised as an oversimplification and because it fails to integrate vulnerability with other DRM concepts. This paper discusses the limitations of current approaches to vulnerability assessment and identifies key directions for a future research agenda to support better assessment processes at the community scale. To date, vulnerability assessment has failed to recognise the dynamic and systemic character of community vulnerability and the importance of integrating concepts of vulnerability, resilience and adaptation within the assessment process. This means it is inadequate for the purpose of assessing future vulnerability using quantitative modelling. In consequence, public policy often relies solely on assessments of current vulnerability levels for decision-making. This paper argues the need for an assessment process using vulnerability modelling. Modelling is able to emphasise characteristics of community vulnerability, assess future vulnerability, and quantitatively evaluate adaptations for specific scenarios. It integrates vulnerability with the related concepts of resilience and adaptation. As a result, this type of assessment offers a better framework for supporting more proactive public policies to reduce community vulnerability to disaster.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.sbspro.2014.07.341
  2. 2.
    ISSN - Is published in 18770428

Journal

Procedia - Social and Behavioral Sciences

Volume

135

Start page

159

End page

166

Total pages

8

Publisher

Elsevier

Place published

Netherlands

Language

English

Copyright

© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

Notes

This work is licensed under a Creative Commons Attribution 4.0 International License.

Former Identifier

2006060642

Esploro creation date

2020-06-22

Fedora creation date

2016-04-14

Open access

  • Yes

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