泰国那空府公路事故的空间统计和严重程度

Q4 Social Sciences
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引用次数: 0

摘要

本研究的目的是利用空间统计和地理信息系统来确定泰国Nakhon Pathom高速公路事故的高风险地区。使用仅等效财产损失(EPDO)、空间自相关、核密度估计和热点分析,分析了交通部关于2021-2022年道路网事故地点的二次数据。这项研究的重点是泰国中部的呵叻府,发现高风险地区集中在交通繁忙、人口密度高的主要路线上,包括城市和社区地区。该研究还确定了具体的风险点,其中Kamphaeng Saen区和321号公路(Kamphaeng-Saen-Thung Khok路)、3231号公路(Den Makham-Bang Len路)和3232号公路(Nong Phong Nok-Pai Chedi路)受到的影响尤其严重,Sam-Pran区和375号公路(Ban Bo-Phra Prathon路)也受到影响。这些发现为事故集群及其风险点提供了重要的见解,可用于改善Nakhon Pathom的交通安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Statistics and Severity of Highway Accidents in Nakhon Pathom, Thailand
The aim of this study was to use spatial statistics and geographic information systems to identify high-risk areas for highway accidents in Nakhon Pathom, Thailand. Secondary data from the Ministry of Transport on the locations of accidents in the road network between 2021-2022 was analyzed using Equivalent Property Damage Only (EPDO), Spatial Autocorrelation, Kernel Density Estimation, and hotspot analysis. The study focused on Nakhon Pathom, a province in Central Thailand, and found that high-risk areas were concentrated along major routes with heavy traffic and high population density, including both urban and community areas. The study also identified specific risk spots, with Kamphaeng Saen District and Highways NO. 321(Kamphaeng Saen-Thung Khok Road), NO. 3231(Den Makham-Bang Len Road), and NO. 3232(Nong Phong Nok - Pai Chedi Road) being particularly affected, as well as Sam Phran District and Highway NO. 375(Ban Bo-Phra Prathon Road). These findings provide important insights into the clustering of accidents and their risk spots, which can be used to improve traffic safety in Nakhon Pathom.
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
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