Spatial Statistics and Severity of Highway Accidents in Nakhon Pathom, Thailand
نویسندگان
چکیده
The aim of this study was to use spatial statistics and geographic information systems identify high-risk areas for highway accidents in Nakhon Pathom, Thailand. Secondary data from the Ministry Transport on locations road network between 2021-2022 analyzed using Equivalent Property Damage Only (EPDO), Spatial Autocorrelation, Kernel Density Estimation, hotspot analysis. focused a province Central Thailand, found that were concentrated along major routes with heavy traffic high population density, including both urban community areas. also identified specific risk spots, Kamphaeng Saen District Highways NO. 321(Kamphaeng Saen-Thung Khok Road), 3231(Den Makham-Bang Len 3232(Nong Phong Nok - Pai Chedi Road) being particularly affected, as well Sam Phran Highway 375(Ban Bo-Phra Prathon Road). These findings provide important insights into clustering their which can be used improve safety Pathom.
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ژورنال
عنوان ژورنال: International Journal of Geoinformatics
سال: 2023
ISSN: ['2673-0014']
DOI: https://doi.org/10.52939/ijg.v19i4.2629