Abstract

Fire protection and response is most costly as an important public service in urban areas. It is essential to optimize fire station locations because the loss can be unbearably high due to a fire disaster if no timely and reliable fire response service is available. This paper reviews (1) key factors considered in fire station location formulation, (2) development of the covering and maximum covering approaches to this problem, and (3) heuristic algorithms to solve the problem. Remarks have been provided on new factors that may affect the choice of fire station locations, including traffic congestion, uncertainties, and the latest technologies.

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Go to CICTP 2016
CICTP 2016
Pages: 1477 - 1484

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Published online: Jun 29, 2016

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Fang Xu
Fire Communications Lab, Shenyang Fire Research Institute, Wenda Rd., Huanggu District, Shenyang, Liaoning Province 110034, China.
Fire Communications Lab, Shenyang Fire Research Institute, Wenda Rd., Huanggu District, Shenyang, Liaoning Province 110034, China. E-mail: [email protected]
Fire Communications Lab, Shenyang Fire Research Institute, Wenda Rd., Huanggu District, Shenyang, Liaoning Province 110034, China. E-mail: [email protected]
Sainan Zhang
College of Transport and Communications, Shanghai Maritime Univ., Shanghai 201306, China.
Yuandong Liu
College of Transport and Communications, Shanghai Maritime Univ., Shanghai 201306, China.
College of Transport and Communications, Shanghai Maritime Univ., Shanghai 201306, China; School of Transportation and Logistics, Dalian Univ. of Technology, 2 Linggong Rd., Ganjingzi District, Dalian, Liaoning Province 116024, China. E-mail: [email protected]

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