Finding Optimum Fire Station Locations in Manhattan District

Location science has a rich historical background, with the sub-category of locating emergency facilities being especially crucial to ensure the safety of people. With fire emergencies happening frequently in households, identifying the optimal placement of fire stations is a critical decision. Other research papers have used the GIS system or models that are complicated or not as practical. Response time, efficiency, and total cost are the various variables considered and analyzed in the model. Fire stations must be located carefully to ensure they are positioned effectively. Hence, research, data collection, and data analysis are especially important. Data are converted into a weighting system created to compare the importance of different areas to decide whether a fire station should be placed next to them. This project introduces an optimization model for determining the optimal location of fire stations in the Manhattan district using a Python program.

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Publication Details

Journal
Communications in Humanities Research
Published
2024-12-26
DOI
https://doi.org/10.54254/2753-7064/2024.18757
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Finding Optimum Fire Station Locations in Manhattan District

Yaoming Liu, Yihao Li
Communications in Humanities Research
Evacuation and Crowd Dynamics
article

Finding Optimum Fire Station Locations in Manhattan District

Yaoming Liu, Yihao Li
article en

Abstract

Location science has a rich historical background, with the sub-category of locating emergency facilities being especially crucial to ensure the safety of people. With fire emergencies happening frequently in households, identifying the optimal placement of fire stations is a critical decision. Other research papers have used the GIS system or models that are complicated or not as practical. Response time, efficiency, and total cost are the various variables considered and analyzed in the model. Fire stations must be located carefully to ensure they are positioned effectively. Hence, research, data collection, and data analysis are especially important. Data are converted into a weighting system created to compare the importance of different areas to decide whether a fire station should be placed next to them. This project introduces an optimization model for determining the optimal location of fire stations in the Manhattan district using a Python program.

Communications in Humanities ResearchVol. 48(1)
Hodges University (US)
Sustainable cities and communities
Openalex Percentile: Top 68%
Evacuation and Crowd Dynamics
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