Home Journals Articles Updates About
CN
image
收藏切换
Multi-objective ambulance scheduling model and algorithm considering psychological deprivation of flood victims
收藏切换
PDF
Qi WU1, Yong LIU**, 1, 2, Liang MA1, 2, Jiawei WU1
China Safety Science Journal | 2025, 35(7) : 31 - 39
Less
收藏切换
China Safety Science Journal | 2025, 35(7): 31-39
• Safety social science and safety management •
Multi-objective ambulance scheduling model and algorithm considering psychological deprivation of flood victims
Full
Qi WU1, Yong LIU**, 1, 2, Liang MA1, 2, Jiawei WU1
Affiliations
  • 1School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China
Published: 2025-07-28 doi: 10.16265/j.cnki.issn1003-3033.2025.07.1289
Outline
收藏切换

To reduce casualties and economic losses caused by disasters, a multi-objective ambulance dispatch optimization model that minimizes the maximum rescue time, the standard deviation of ambulance service times, and the total psychological deprivation cost of casualties was developed, while accounting for psychological deprivation factors. Given the non-deterministic polynomial (NP)-hard nature of model, the INSGA-III was proposed, incorporating a multi-chromosome hierarchical encoding strategy and dynamic crossover and mutation methods. Using the 2019 flood in Xingguo County, Ganzhou City, Jiangxi Province as a case study, the proposed INSGA-III was compared with NSGA-III and NSGA-II. Sensitivity analyses on ambulance quantity and relative deprivation cost coefficients demonstrated the effectiveness of model and algorithm. The results show that the maximum rescue time for casualties is minimized to 9.234 hours, the standard deviation of the latest ambulance service times is reduced to 13.156 minutes, and the total psychological deprivation cost of casualties is minimized to 1729.001. With the relative psychological deprivation cost coefficient set at 0.3 and 500 ambulances deployed, the timeliness and fairness of the rescue operations are significantly improved.

flood disaster  /  psychology of injured  /  ambulance  /  multi-objective optimization  /  emergency rescue  /  improved third-generation non-dominated sorting genetic algorithm (INSGA-Ⅲ)
Qi WU, Yong LIU, Liang MA, Jiawei WU. Multi-objective ambulance scheduling model and algorithm considering psychological deprivation of flood victims[J]. China Safety Science Journal, 2025 , 35 (7) : 31 -39 . DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1289
Appendix
Less
Year 2025 volume 35 Issue 7
PDF
49
6
Cite this Article
BibTeX
Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.07.1289
  • Receive Date：2025-03-01
  • Online Date：2026-07-09
  • Published：2025-07-28
Article Data
Affiliations
History
  • Received：2025-03-01
  • Revised：2025-05-10
Funding
Affiliations
    1School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
    2School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China
References
Share
https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2025.07.1289
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House