A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities
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. Th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024-03-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-024-02782-3 |
| _version_ | 1797266915924639744 |
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| author | Chenmei Teng Poshan Yu Liwen Liu |
| author_facet | Chenmei Teng Poshan Yu Liwen Liu |
| author_sort | Chenmei Teng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-25T01:08:17Z |
| format | Article |
| id | doaj.art-8478f028ebf74695b6bcab95adaf3203 |
| institution | Directory Open Access Journal |
| issn | 2662-9992 |
| language | English |
| last_indexed | 2024-04-25T01:08:17Z |
| publishDate | 2024-03-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj.art-8478f028ebf74695b6bcab95adaf32032024-03-10T12:08:29ZengSpringer NatureHumanities & Social Sciences Communications2662-99922024-03-0111111110.1057/s41599-024-02782-3A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilitiesChenmei Teng0Poshan Yu1Liwen Liu2School of Urban Governance and Public Affairs, Suzhou City UniversityInternational Cooperative Education Program, Soochow UniversitySchool of Politics and Public Administration, Soochow UniversityAbstract 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.https://doi.org/10.1057/s41599-024-02782-3 |
| spellingShingle | Chenmei Teng Poshan Yu Liwen Liu A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities Humanities & Social Sciences Communications |
| title | A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities |
| title_full | A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities |
| title_fullStr | A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities |
| title_full_unstemmed | A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities |
| title_short | A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities |
| title_sort | cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities |
| url | https://doi.org/10.1057/s41599-024-02782-3 |
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