Optimizing locations of emergency medical stations for rural areas: A case study in Iran

Ahmadi, Hamed; Jelokhani-Niaraki, Mohammadreza; Argany, Meysam; Ghanbari, Abolfazl

doi:10.1016/j.ijdrr.2024.104336

Cited by 1 publication

(2 citation statements)

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“…Equation ( 16) ensures that every demand point has at least one selected facility assigned to it within the specified distance limit. Finally, (17) defines the binary variables utilized in the model.…”

Section: Related Workmentioning

confidence: 99%

“…In [16], the authors aimed to streamline the emergency facility planning and decision-making process for urban emergency departments by addressing the siting problem of community-centered relief supply facilities using a novel multi-criteria method. The authors of [17] proposed a GIS-based ACO-QAP model to optimize the location of emergency medical services(EMS) stations in rural areas, aiming to improve spatial accessibility and emergency medical availability while minimizing resource usage. In [18,19], the covering problem model was used in an MSAR context.…”

Section: Related Workmentioning

confidence: 99%

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Deployment Method for Aircraft-Based Maritime Emergency Communication Resource Reserve Bases

Li,

Jiang

2024

JMSE

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Maritime emergency communication facilities play a crucial role in establishing communication links between land and sea, serving as essential communication means for maintaining maritime safety, disaster response, and emergency rescue operations. With the increasing frequency of marine activities, the rapid response capability of maritime emergency communication is becoming increasingly critical. With their characteristics of high-speed mobility, broad coverage and flexibility, aircraft serve as carriers for emergency communication facilities. The selection of aircraft bases is paramount in meeting the requirement of rapid response for maritime emergency communication. In this paper, we present a multi-objective optimization model for site selection by considering the coverage capabilities of different carriers. The model incorporates hierarchical coverage of unmanned aerial vehicles (UAVs) and helicopters with a genetic algorithm. Through a case study of the Bohai Sea, this paper verifies the feasibility and effectiveness of the model.

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Section: Related Workmentioning

confidence: 99%