Spatial Location Optimization of Fire Stations with Traffic Status and Urban Functional Areas
Efficient spatial deployment of urban fire stations is highly desired to address the frequent and complex modern urban fires. Various spatial location optimization approaches have been developed to site fire stations. However, most approaches ignored the impact of the traffic status and the actual d...
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| Published in | Applied spatial analysis and policy Vol. 16; no. 2; pp. 771 - 788 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.06.2023
Springer Nature B.V |
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| Abstract | Efficient spatial deployment of urban fire stations is highly desired to address the frequent and complex modern urban fires. Various spatial location optimization approaches have been developed to site fire stations. However, most approaches ignored the impact of the traffic status and the actual demand areas of fire services in the rapid urbanization. This paper develops a multi-objective spatial optimization model to account for the traffic status with the online map and the actual demands of fire services with urban functional areas in siting fire stations. A case study in Nanjing, China is conducted to select fire stations with the developed model. Results demonstrate its effectiveness in siting fire stations and highlighting important policy implications for fire departments to ensure urban safety and resilience. |
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| AbstractList | Efficient spatial deployment of urban fire stations is highly desired to address the frequent and complex modern urban fires. Various spatial location optimization approaches have been developed to site fire stations. However, most approaches ignored the impact of the traffic status and the actual demand areas of fire services in the rapid urbanization. This paper develops a multi-objective spatial optimization model to account for the traffic status with the online map and the actual demands of fire services with urban functional areas in siting fire stations. A case study in Nanjing, China is conducted to select fire stations with the developed model. Results demonstrate its effectiveness in siting fire stations and highlighting important policy implications for fire departments to ensure urban safety and resilience. |
| Author | Wu, Guohao Chen, Yu Chen, Yuehong Xia, Zelong |
| Author_xml | – sequence: 1 givenname: Yuehong surname: Chen fullname: Chen, Yuehong organization: College of Hydrology and Water Resources, Hohai University – sequence: 2 givenname: Guohao surname: Wu fullname: Wu, Guohao organization: College of Hydrology and Water Resources, Hohai University – sequence: 3 givenname: Yu orcidid: 0000-0002-6773-0855 surname: Chen fullname: Chen, Yu organization: School of Geography, Nanjing Normal University – sequence: 4 givenname: Zelong surname: Xia fullname: Xia, Zelong organization: School of Urban Resource and Environment, Jiangsu Second Normal University |
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| Keywords | Urban functional areas Traffic status Fire station Spatial optimization |
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| SubjectTerms | Case studies Fire departments Fires Human Geography Landscape/Regional and Urban Planning Optimization Regional/Spatial Science Social Sciences Urbanization |
| Title | Spatial Location Optimization of Fire Stations with Traffic Status and Urban Functional Areas |
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