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Volume 16, Issue 2 (Summer 2026)                   Disaster Prev. Manag. Know. 2026, 16(2): 264-293 | Back to browse issues page


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Mohammadpour Z, Nekooie M A, Zakery Khatir H. Framework for Prioritizing Water Supply System Resilience Solutions Using Best-worst Method and Gray Relation Analysis: A Case Study of Babol City, Iran. Disaster Prev. Manag. Know. 2026; 16 (2) :264-293
URL: http://dpmk.ir/article-1-786-en.html
1- Department of Crisis Management, University Complex of Engineering and Passive Defense, Malek Ashtar University of Technology, Tehran, Iran.
2- University Complex of Engineering and Passive Defense, Malek Ashtar University of Technology, Tehran, Iran.
Abstract:   (836 Views)
Background and objective Building resilient infrastructure is essential because hazards increasingly affect society. Studies and actions by water and wastewater companies play a fundamental role in strengthening infrastructure resilience. However, improving these conditions often faces challenges, such as competing priorities and resource constraints. This study aimed to address this challenge by providing a dynamic method to rank optimal solutions, determine the actual level of different resilience‑building solutions, and help allocate resources based on priorities to maintain the functioning of the water supply system.
Methods A framework is presented to determine and prioritize optimal solutions to improve the resilience of the Babol city water distribution network under six categories of threats, such as flood, earthquake, wear and tear, etc. in two asset categories: reservoirs and pipelines. The methodology uses gray relation analysis and expert scoring based on components derived from the ERASMUS model, the best‑worst method, and identification of network weaknesses through a field visit. Information collection was performed through library resources and interviews.
Results Among the 63 proposed solutions to improve the resilience of the bottleneck zone, after analysis and considering the decision‑making components of time (importance coefficient 0.22), cost (0.07), and performance (0.71), four solutions were identified as the highest‑priority and most important options for this network.
Conclusion This zone requires special attention and implementation of the selected priority solutions to reduce vulnerability, increase resilience, and ensure continued operation against hazards.
 
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Type of Study: Research | Subject: Special
Received: 2025/07/9 | Accepted: 2025/08/25 | ePublished: 2026/09/19

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