Spatial performance to locate city fire stations

Hsueh Sheng Chang; Chi Ming Lai; Huei Ling Hwang

doi:10.1680/muen.2012.165.1.19

Spatial performance to locate city fire stations

Hsueh Sheng Chang, Chi Ming Lai, Huei Ling Hwang

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Analysis of the spatial characteristics of disasters is a critical component of accurate disaster prevention planning and management. Reports from the Tainan City Fire Department were analysed to explore the spatial distribution of incident locations via address matching, spatial coordination transformation and GIS technologies. The characteristics of these locations were further investigated using spatial autocorrelation analysis in order to explore potential future demand for emergency rescue services. The performance levels of existing and newly added emergency rescue facilities were analysed using maximal covering location problem tests and Lagrangian heuristic calculations. These methods are able to simulate and analyse rescue performance after new facilities have been added to a system and the results can also be used to guide the future locations of rescue facilities.

Original language	English
Pages (from-to)	19-29
Number of pages	11
Journal	Proceedings of the Institution of Civil Engineers: Municipal Engineer
Volume	165
Issue number	1
DOIs	https://doi.org/10.1680/muen.2012.165.1.19
Publication status	Published - 2012 Mar

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1680/muen.2012.165.1.19

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AB - Analysis of the spatial characteristics of disasters is a critical component of accurate disaster prevention planning and management. Reports from the Tainan City Fire Department were analysed to explore the spatial distribution of incident locations via address matching, spatial coordination transformation and GIS technologies. The characteristics of these locations were further investigated using spatial autocorrelation analysis in order to explore potential future demand for emergency rescue services. The performance levels of existing and newly added emergency rescue facilities were analysed using maximal covering location problem tests and Lagrangian heuristic calculations. These methods are able to simulate and analyse rescue performance after new facilities have been added to a system and the results can also be used to guide the future locations of rescue facilities.

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Spatial performance to locate city fire stations

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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