Prediction of Travel Time of Fire Service using Kriging and Weighted-sum Technique

Yoon Lee, Minseok Kim, Ji-Soo Lee
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Abstract

The accessibility of city fire services is an important indicator for evaluating fire services and optimizing fire resource allocation. For firefighting, rescue, and first-aid activities, it is recommended that the time from fire vehicles leaving the garage to arrive at the scene is less than 5 minutes. Therefore, the travel time of fire services is one of the main concerns for many researchers. This study assumes that changing the urban environment affects the travel time of fire services. Therefore, in this study, weights were applied over the years to predict the travel time of fire service by using the kriging technique. As a result of the case study, temporal factors (elapsed year, term of travel time, and time spent) did not significantly affect travel time prediction accuracy using the kriging technique. As observed in previous studies, it is confirmed that the prediction accuracy is high because it is less affected by traffic-related factors at short travel distances. The results of this study contribute to the development of spatial analysis techniques to improve the accuracy of travel-time prediction.
基于Kriging和加权和技术的消防车辆行驶时间预测
城市消防可达性是评价城市消防服务质量、优化消防资源配置的重要指标。对于消防、救援和急救活动,建议从消防车辆离开车库到到达现场的时间不超过5分钟。因此,消防人员的出行时间是许多研究者关注的主要问题之一。本研究假设城市环境的变化会影响消防人员的出行时间。因此,在本研究中,运用克里格法对消防人员的出行时间进行了历年加权预测。作为案例研究的结果,时间因素(经过的年份、旅行时间期限和花费的时间)对使用克里格技术的旅行时间预测精度没有显著影响。从以往的研究中可以看出,在较短的出行距离下,由于受交通相关因素的影响较小,因此预测精度较高。本研究结果有助于空间分析技术的发展,以提高旅行时预测的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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