Continuous layout optimization of urban fire station

Lu, Houqing; Yuan, Hairong; Liu, Cheng

doi:10.3724/sp.j.1087.2012.00852

Cited by 1 publication

(1 citation statement)

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“…The maximum coverage model, which mainly calculates how demand points can be covered with the least facilities, was subsequently proposed based on the LSCP [4]. When location optimization models for fire stations were built, the type of points used improved from binary [5] to continuous possibilities [6]. However, fire-fighting service areas with different fire risks require different degrees of fire station coverage [7].…”

Section: Introductionmentioning

confidence: 99%

Location Optimization of Urban Fire Stations Considering the Backup Coverage

Tao

Cui

et al. 2022

IJERPH

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Urban fires threaten the economic stability and safety of urban residents. Therefore, the limited number of fire stations should cover as many places as possible. Moreover, places with high fire risk should be covered by more fire stations. To optimize the location of urban fire stations, we construct a multi-objective optimization model for fire station planning based on the backup coverage model. The improved value of environment and ecosystem (SAVEE) model is introduced to quantify the spatial heterogeneity of urban fires. The main city zone of Wuhan is used as the study area to validate the proposed method. The results show that, considering the existing fire stations (85 facilities), the proposed model achieves a significant 38.56% in high-risk areas that can be covered by more than one fire station. If the existing fire stations are not considered when building 95 fire stations, the proposed model can achieve coverage of 50.07% in high-risk areas by utilizing more than one fire station. As a result, the proposed backup coverage model would perform better if the protection of high-risk areas is improved with as few fire stations as possible to guarantee more places covered.

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Section: Introductionmentioning

confidence: 99%