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Decision support for infrastructure planning: a comprehensive location–allocation model for fire station in complex urban system

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  • Md Shahab Uddin

    (Asian Institute of Technology (AIT))

  • Pennung Warnitchai

    (Asian Institute of Technology (AIT))

Abstract

Infrastructures are the most important aspect of any urban system. Properly planned infrastructures are critical for ensuring services and protecting an urban system from disasters. The fire resilience of an urban system depends on the number and location of it’s fire stations. To support urban resilience through properly planned critical infrastructures, this research attempted to develop a decision support model to solve the location–allocation problem of fire stations in complex urban settings. The developed model combined geographical information system, multi-criteria analysis, and set cover algorithm to utilize global knowledge and local experience. The findings of the research found aligned with other observations. Results revealed that systematic planning can significantly increase the level of outputs from the same input and absorb local constraints with minimum compromise in development goals. The importance of expert opinion in decision making was found very critical. Integration of science and local experience, and involvement of practitioners, decision makers, and scholars could significantly increase the problem solving of the complex world.

Suggested Citation

  • Md Shahab Uddin & Pennung Warnitchai, 2020. "Decision support for infrastructure planning: a comprehensive location–allocation model for fire station in complex urban system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1475-1496, July.
    • Handle: RePEc:spr:nathaz:v:102:y:2020:i:3:d:10.1007_s11069-020-03981-2
    DOI: 10.1007/s11069-020-03981-2
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    Cited by:

    1. Kai Guo & Wei Wang & Shixiang Tian & Juntao Yang & Zebiao Jiang & Zhangyin Dai, 2022. "Research on Optimization Technology of Cross-Regional Synergistic Deployment of Fire Stations Based on Fire Risk," Sustainability, MDPI, vol. 14(23), pages 1-14, November.

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