Department of Disaster Engineering, Faculty of Environment, University of Tehran, Tehran, Iran , givehchi@ut.ac.ir
Abstract: (1034 Views)
Objective: With the increasing development of human societies, the expansion of exposure levels, the growing vulnerability of individuals to disasters, and the urgency of providing appropriate responses to affected communities, the need for planning efficient disaster management has become increasingly evident. The terms relief models and patterns are used to describe the relationships and interactions among various actors operating within emergency response environments. This study aims to model and present a comprehensive framework for identifying and analyzing the challenges faced by relief and rescue organizations during the pre- and post-crisis phases in the city of Semnan. Method: The present study is applied and developmental in nature and was conducted using a descriptive–analytical approach. The statistical population includes 150 managers, experts, and active relief personnel in the study area. Data were collected through a questionnaire based on indicators extracted from the theoretical literature. Its validity was confirmed through expert judgment, and its reliability was verified using Cronbach’s alpha coefficient. Data analysis was carried out by integrating the Fuzzy Analytic Network Process (FANP) and the multi-criteria decision-making technique WASPAS. Results: The results showed that all 12 identified main criteria had positive and significant weights. The five most important challenges with the highest weights were planning (0.56), logistical and communication issues (0.546), climatic and environmental challenges (0.542), policy-making and governance deficiencies (0.51), and local capacities and resilience (0.503). Accordingly, the organizational relief model before and after crisis occurrence in the study area is significantly associated with these challenges based on their relative weights. These challenges have the greatest impact on the structure and performance of relief supply chains and, consequently, on the type and level of implementable coordination mechanisms in Semnan City. Conclusions: The integration of FANP and WASPAS provides a comprehensive model for analyzing relief and rescue challenges, identifying planning as the primary priority and emphasizing coordination, local resilience, and policy-making. Applied in Semnan City, the proposed model is adaptable and can be generalized to other cities with appropriate local adjustments. It is recommended that relief organizations establish specialized working groups to pilot the proposed model. The suggested framework can substantially improve the structure and performance of relief supply chains and enhance the effectiveness of coordination mechanisms under crisis conditions.