Prioritizing Resource and Policy Barriers to Post-Disaster Recovery in Pakistan: A Multi-Expert Fermatean Fuzzy AHP Analysis

Abid Khan, Ashfaq Ahmad Shah (), Bader Alhafi Alotaibi and Inam Khan
Additional contact information
Abid Khan: School of Electronics & Information Engineering, Taizhou University, Taizhou 318000, China
Ashfaq Ahmad Shah: College of Humanities and Development Studies, China Agricultural University, Beijing 100193, China
Bader Alhafi Alotaibi: Department of Agricultural Extension and Rural Society, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
Inam Khan: School of Economics Law, Shanghai University of Political Science & Law, Shanghai 201701, China

Sustainability, 2024, vol. 16, issue 23, 1-20

Abstract: Natural disasters have a widespread impact globally, often posing significant challenges to sustainable development in affected regions. Effective disaster recovery requires coordinated efforts from various stakeholders; however, this process is frequently hindered by inadequate resources and policies. Consequently, a thorough exploration of resource- and policy-related barriers is essential for sustainable recovery. This study aims to identify and prioritize resource and policy barriers (RPBs) that hamper the ongoing post-flood recovery process in Pakistan. Twenty-eight barriers were selected through an extensive literature review and further classified into five categories: human, financial, infrastructure, technological, and policy and governance. The fermatean fuzzy analytical hierarchical process (FF-AHP) was used to determine the weights of the selected barriers and prioritize them according to their local and global weights. The results reveal that financial resource barriers are the most important category, while low income of households, lack of appropriate disaster management policies, and unemployment are the top three barriers that significantly affect the post-disaster recovery process. Additionally, the study provides a comparative analysis to highlight the effectiveness of the proposed model over the spherical fuzzy analytical hierarchy process (SF-AHP). The study’s findings can provide valuable insights for decision-makers, assisting them in identifying critical challenges and implementing effective recovery strategies for sustainable development.

Keywords: fermatean fuzzy AHP; post-disaster recovery; barriers; flooding; sustainable development; Pakistan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/23/10414/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/23/10414/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:23:p:10414-:d:1531536

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().