中文版 | English
Title

A Hierarchical Multi-objective Programming Approach to Planning Locations for Macro and Micro Fire Stations

Author
Corresponding AuthorYang,Lili
DOI
Publication Years
2022
ISSN
1865-0929
EISSN
1865-0937
Source Title
Volume
1630 CCIS
Pages
163-180
Abstract
Fire stations are among the most crucial emergency facilities in urban emergency control system in terms of their quick response to fires and other emergencies. Location planning for fire stations has a significant influence on their effectiveness and capability of emergency responses trading off with the cost of constructions. To obtain efficient and practical siting plans for fire stations, various major requirements including effectiveness maximization, distance constraint and workload limitation are required to be considered in location models. This paper proposes a novel hierarchical optimization approach taking all the major requirements for location planning into consideration and bonds functional connections between different levels of fire stations at the same time. A single-objective and a multi-objective optimization model are established coupled with genetic algorithm (GA) with elitist reservation and Pareto-based multi-objective evolutionary algorithm for model solving. The proposed hierarchical location model is further performed in a case study of Futian District in Shenzhen, and the siting results justify the effectiveness and practicality of our novel approach.
Keywords
SUSTech Authorship
First ; Corresponding
Language
English
URL[Source Record]
Scopus EID
2-s2.0-85140449510
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/407156
DepartmentDepartment of Statistics and Data Science
前沿与交叉科学研究院
Affiliation
1.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen,China
2.Academy for Advanced Interdisciplinary Studies,Southern University of Science and Technology,Shenzhen,China
3.Department of Computer and Information Science,University of Macau,Macao
First Author AffilicationDepartment of Statistics and Data Science
Corresponding Author AffilicationDepartment of Statistics and Data Science
First Author's First AffilicationDepartment of Statistics and Data Science
Recommended Citation
GB/T 7714
Gong,Xinghan,Liang,Jun,Zeng,Yiping,et al. A Hierarchical Multi-objective Programming Approach to Planning Locations for Macro and Micro Fire Stations[C],2022:163-180.
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