Climate-Related Vulnerability Assessment Toward Disaster Risk Reduction: Insight from Pakistan

Author:

Abbas Hafiz Waqar1,Guo Xuesong1

Affiliation:

1. School of Public Policy and Administration, Xi’an Jiaotong University , Xi’an , Shaanxi , China

Abstract

Abstract Globally, climate-related disasters (CRDs) have become a common phenomenon in the last few decades, increasing vulnerability and causing disaster mortality. To manage disaster risk, the global Sendai Framework for disaster risk reduction (SFDRR) provides a solid action plan for disaster risk reduction (DRR) considering all the dimensions of vulnerability. However, countries are still less receptive at the local level to adopting the SFDRR. Also, the global research community did not explore vulnerability features based on the Sendai Framework nor integrated such features with the four priorities of SFDRR. Based on the case of Pakistan, this study seeks to bridge the gap through three objectives. The first objective of the study is to identify the vulnerability features cited in the SFDRR. In addition, the research aims to develop a new vulnerability model by integrating SFDRR’s four priorities. As a second objective, it is intended to develop a decision support framework for ranking and evaluating each of the SFDRR priority action areas under local conditions. A third objective is to assess the impact of climate-induced environmental, socioeconomic and political vulnerabilities on climate-driven mortality. To meet these three different objectives, the authors have adopted a multi-method approach by using multi-criteria decision analysis (MCDA) and binary logistic regression method (BLRM). Based on the assessment, the authors suggested some policy implications.

Funder

The National Natural Science Foundation of China

Undergraduate Teaching Reform Research Project of Xi’an Jiaotong University in 2023.

Publisher

Walter de Gruyter GmbH

Subject

Safety Research,Safety, Risk, Reliability and Quality,Business, Management and Accounting (miscellaneous)

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