层次分析法
服务(商务)
加权
计算机科学
消防
运输工程
服务质量
过程(计算)
服务质量
鉴定(生物学)
运筹学
工程类
地理
业务
电信
医学
植物
地图学
营销
生物
放射科
操作系统
作者
Anas M. M. Awad,Ketut Wikantika,Hosseini Ali,Sohaib K. M. Abujayyab,Javad Hashempour
出处
期刊:International journal of emergency services
[Emerald (MCB UP)]
日期:2024-01-08
标识
DOI:10.1108/ijes-04-2023-0011
摘要
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.
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