A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities

Bibliographic Details
Title: A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities
Authors: Chenmei Teng, Poshan Yu, Liwen Liu
Source: Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-11 (2024)
Publisher Information: Springer Nature, 2024.
Publication Year: 2024
Collection: LCC:History of scholarship and learning. The humanities
LCC:Social Sciences
Subject Terms: History of scholarship and learning. The humanities, AZ20-999, Social Sciences
More Details: Abstract In the realm of emergency response, the swift and efficient deployment of mobile units is of paramount importance. This research introduces a strategy centered around the “proximity response” principle, aiming to strategically position emergency services nearer to areas of higher demand. This approach is designed to enhance response times while optimizing resource allocation. Through the integration of practical planning with user-friendly computational methodologies, this paper presents a novel framework for improving the allocation and reach of emergency facilities. This includes extending critical care to broader areas and minimizing operational costs. The simulations conducted demonstrate that this strategy markedly enhances crisis management effectiveness. The paper also includes a statistical analysis that provides substantial evidence of the practicality and efficiency of this approach in real-world emergency scenarios. This study contributes to the field by offering a new perspective on resource distribution and emergency response planning, potentially impacting the way these critical services are organized and deployed.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2662-9992
Relation: https://doaj.org/toc/2662-9992
DOI: 10.1057/s41599-024-02782-3
Access URL: https://doaj.org/article/8478f028ebf74695b6bcab95adaf3203
Accession Number: edsdoj.8478f028ebf74695b6bcab95adaf3203
Database: Directory of Open Access Journals
More Details
ISSN:26629992
DOI:10.1057/s41599-024-02782-3
Published in:Humanities & Social Sciences Communications
Language:English