Location-allocation-routing for emergency shelters based on geographical information system (ArcGIS) by NSGA-II (case study: Earthquake occurrence in Tehran (District-1))

Sepide Aghaie and Behrooz Karimi

Socio-Economic Planning Sciences, 2022, vol. 84, issue C

Abstract: The purpose of this study is to locate temporary shelters and assign injured people to the shelters. Routing people from destroyed areas to newly constructed shelters (in order to conduct rescue operations in the event of an earthquake) based on a case study of one of Tehran's densest areas (District 1) and the extent to which it is vulnerable to the occurrence of a possible earthquake is also considered. Some criteria influenced by the natural and physical characteristics of the desired area have been developed to accomplish this. The characteristics of this area are considered using Geographic Information Systems (GIS) software for determining the affected areas (as the demand points), and the ideal locations for shelters construction. Based on mathematical modeling, the optimal locations for shelters have been determined to allocate injured individuals to those shelters. Due to the existence of uncertainty regarding activated fault, their magnitude, severity, and the amount of demand for rescue services, multiple scenarios for earthquake occurrence have been considered, and the model is presented as a two-stage robust scenario-based optimization problem. The Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve the problem. The computational results demonstrate the effectiveness of the proposed methodology. Suitable locations for construction of shelters, allocating shelters to affected areas, the optimal route for collecting people, the arrival time of each vehicle in each affected area, the total rescue time, the required budget, and the number of injured people collected from each area are the outputs of the model. This study aims to develop an adaptable and rational system for crisis relief in cities with varying characteristics.

Keywords: Crisis management; Location-allocation- routing problem; Geographic information system (GIS); Temporary shelter; Earthquake; NSGA-II Algorithm (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:84:y:2022:i:c:s003801212200221x

DOI: 10.1016/j.seps.2022.101420

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