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

Gong，Xinghan1; Liang，Jun1; Zeng，Yiping1; Meng，Fanyu1,2; Fong，Simon3; Yang，Lili1

10.1007/978-3-031-17422-3_16

2022

1865-0929

1865-0937

Communications in Computer and Information Science

1630 CCIS

163-180

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.

Fire station Genetic algorithm Hierarchical model Multi-objective evolutionary algorithm Multi-objective optimization

First ; Corresponding

English

2-s2.0-85140449510

Scopus

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

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.