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Manuscript ID : JUPM-2007-3572 (R1) Visit : 71 Page: 147 - 159

10.30495/jupm.2022.5515

20.1001.1.22285229.1401.13.50.10.1

Article Type: Original Research

Space optimization of fire stations in the field Access and service coverage (case study: Zabol)

Subject Areas :

Hossein yaghfoori 1 , vahid Pasban Essaloo 2 , Seyed ali Hosseini 3

1 - Associate Prof., Faculty of Geography and Environmental Planning, Sistan & Baloochestan University, Zahedan, Iran
2 - PhD student in geography and urban planning, Faculty of Geography and Environmental Planning, Sistan & Baloochestan University, Zahedan, Iran.
3 - PhD student in geography and urban planning, Faculty of Geography and Environmental Planning, Sistan & Baloochestan University, Zahedan, Iran

Received: 2020-07-15 Accepted : 2021-03-07 Published : 2022-11-22

Keywords: Site Selection, Access, fire station, maximum service coverage,

Abstract :

Today, the optimal location of fire stations is one of the important necessities in the field of efficiency and timely response of urban management to potential hazards. Spatial optimization methods are widely used in this field due to special and spatial features of issues related to urban facilities. Among the most important of these items are interpolation-based methods and maximum service coverage. In the current situation, the city of Zabol has two operational fire stations, which due to the large size of the city and its rapid physical development, are not able to adequately respond to urban incidents and events, so it needs serious revision and increase the number of stations to the desired level. The present research, in terms of methodology is descriptive, in terms of purpose is applied and is based on library studies and field studies. Based on the scenario, this study presents a multi-objective spatial optimization model that combines the objectives related to the middle limit and maximum service coverage in the field of fire stations in Zabol city and finally using the Pareto optimization method Displays the improve access intensity. Findings from the research scenarios showed that with a certain increase in the number of stations in different parts of the city, access improves with different intensities. For example, assuming 6 stations are located at certain distances from each other, access will improve by up to 9% compared to the current situation, and if this number increases to 12, access will increase by up to 60%.

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