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Optimization of new fire department location using an improved GIS algorithm for firefighters travel time estimation

Anas M.M. Awad (Department of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia)
Ketut Wikantika (Department of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia) (Center for Remote Sensing, Institut Teknologi Bandung, Bandung, Indonesia)
Haytham Ali (Department of Geography, Social Sciences Institute, Istanbul Universitesi, Istanbul, Turkey)
Sohaib K.M. Abujayyab (Department of Fire Safety Engineering, International College of Engineering and Management, Muscat, Oman)
Javad Hashempour (Department of Fire Safety Engineering, International College of Engineering and Management, Muscat, Oman)

International Journal of Emergency Services

ISSN: 2047-0894

Article publication date: 8 January 2024

Issue publication date: 23 April 2024

109

Abstract

Purpose

The rapid development of urban areas in Sleman District, Indonesia, has created new challenges for firefighting response services. One of the primary challenges is to identify the optimal locations for new fire stations, to improve service quality and maximize service coverage within the specified time.

Design/methodology/approach

This paper proposes a method for precisely calculating travel time that integrates delay time caused by traffic lights, intersections and congestion. The study highlights the importance of precise calculation of travel time in order to provide a more accurate understanding of the service area covered by the fire stations. The proposed method utilizes network analysis in ArcGIS, the analytical hierarchy process (AHP) and simple additive weighting (SAW) to accurately calculate travel time and to identify the best locations for new fire stations. The identification of new site was based on service safety, service quality, service costs and demographic factors and applied to the Sleman district in Indonesia.

Findings

The results showed that the total area covered by old and new fire stations decreased from 61% to 31.8% of the study area when the adjusted default speed scenario was implemented.

Practical implications

The results indicated that the default speed scenario could provide misleading information about the service area, while the adjusted default speed scenario improved service quality and maximized service coverage.

Originality/value

The proposed method provides decision-makers with an effective tool to make informed decisions on optimal locations for new fire stations and thus enhance emergency response and public safety.

Keywords

Acknowledgements

The authors thank the Badan Penanggulangan Bencana Daerah (BPBD) Kabupaten Sleman/Sleman Regency Disaster Management Agency for the information, advice, guidance and moral support. The authors would also like to thank two anonymous reviewers for their valuable and constructive comments that helped improve this paper's quality.

Citation

Awad, A.M.M., Wikantika, K., Ali, H., Abujayyab, S.K.M. and Hashempour, J. (2024), "Optimization of new fire department location using an improved GIS algorithm for firefighters travel time estimation", International Journal of Emergency Services, Vol. 13 No. 1, pp. 80-97. https://doi.org/10.1108/IJES-04-2023-0011

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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