Coordination in Emergency Response System Design: An Application to Hazardous Materials Transportation

Emergency response, in most cases, requires the coordination of multiple teams often including the emergency medical technicians, the fire fighters, and the police. Although there is a well-established literature on designing emergency response networks, the need to coordinate the multiple resources involved in this effort is largely overlooked. Such coordination requires not only the response time of each resource to the emergency, but the amount of time the teams may have to wait for each other. In this paper, we present a mathematical model for the two-resource maximal covering problem, and devise a genetic algorithm for solving large-scale problem instances. We provide a case study focusing on designing the response to hazardous materials incidents in Chengdu City, China. Our numerical experiments highlight the possibility of improving the current situation by merely reallocating the ambulance and emergency stations to different population zones. We also demonstrate how drastic improvements can be achieved by the establishment of new response facilities.

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Publication Details

Journal
Applied Sciences
Published
2025-04-01
DOI
https://doi.org/10.3390/app15073859
Citations
2
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
5.53

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article

Coordination in Emergency Response System Design: An Application to Hazardous Materials Transportation

Vedat Verter, Peng Hu, Jiahong Zhao
2 citations
Applied Sciences
Facility Location and Emergency Management
5.53
article

Coordination in Emergency Response System Design: An Application to Hazardous Materials Transportation

Vedat Verter, Peng Hu, Jiahong Zhao
article en
2 citations

Abstract

Emergency response, in most cases, requires the coordination of multiple teams often including the emergency medical technicians, the fire fighters, and the police. Although there is a well-established literature on designing emergency response networks, the need to coordinate the multiple resources involved in this effort is largely overlooked. Such coordination requires not only the response time of each resource to the emergency, but the amount of time the teams may have to wait for each other. In this paper, we present a mathematical model for the two-resource maximal covering problem, and devise a genetic algorithm for solving large-scale problem instances. We provide a case study focusing on designing the response to hazardous materials incidents in Chengdu City, China. Our numerical experiments highlight the possibility of improving the current situation by merely reallocating the ambulance and emergency stations to different population zones. We also demonstrate how drastic improvements can be achieved by the establishment of new response facilities.

Applied SciencesVol. 15(7)
Civil Aviation Administration of China (CN), Guangdong University of Technology (CN), Queen's University (CA)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Natural Science Foundation of Sichuan Province
Openalex Percentile: Top 5%
Facility Location and Emergency Management
5.53
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Coordination in Emergency Response System Design: An Application to Hazardous Materials Transportation — Vedat Verter, Peng Hu, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS