{"title":"Analysis of Accident Sites from Motorcycles among High School Students Using Geographic Information Systems, Sukhothai Province","authors":"K. Thipthimwong, N. Noosorn","doi":"10.52939/ijg.v19i3.2603","DOIUrl":null,"url":null,"abstract":"Road accidents are a major global problem, especially accidents from riding a motorcycle, as these affect both human life and property. Therefore, identifying accident sites is important for accident prevention. This study aimed to analyze the density of accident sites involving motorcycles among high school students in 2019 by using Geographic Information System data (GIS) in Sukhothai Province. In the study, in-depth interviews were used with respondents, including high school students who had accidents on motorcycles, and traffic police officers who were responsible for investigating accidents in schools. In addition, reports of accident sites were used to arrange GIS data layers and analyze the density of the accident sites using Kernel Density Estimation (KDE). The study results revealed that accidents occurred at 217 accident sites in the study area. The map of accident sites and density was created by using GIS data. The areas with accidents in heavy traffic were the roads in the three main districts: Mueang, Si Samrong, and Sawankhalok. Regarding the analysis, accidents were caused by fast cut-off riding, narrow road shoulders, and road users’ non-compliance with traffic regulations. The study results were submitted to traffic authorities, schools, departments responsible for rural roads, and local government organizations, and used for planning and developing models to prevent traffic accidents involving motorcycles among high school students through the student council.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52939/ijg.v19i3.2603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Road accidents are a major global problem, especially accidents from riding a motorcycle, as these affect both human life and property. Therefore, identifying accident sites is important for accident prevention. This study aimed to analyze the density of accident sites involving motorcycles among high school students in 2019 by using Geographic Information System data (GIS) in Sukhothai Province. In the study, in-depth interviews were used with respondents, including high school students who had accidents on motorcycles, and traffic police officers who were responsible for investigating accidents in schools. In addition, reports of accident sites were used to arrange GIS data layers and analyze the density of the accident sites using Kernel Density Estimation (KDE). The study results revealed that accidents occurred at 217 accident sites in the study area. The map of accident sites and density was created by using GIS data. The areas with accidents in heavy traffic were the roads in the three main districts: Mueang, Si Samrong, and Sawankhalok. Regarding the analysis, accidents were caused by fast cut-off riding, narrow road shoulders, and road users’ non-compliance with traffic regulations. The study results were submitted to traffic authorities, schools, departments responsible for rural roads, and local government organizations, and used for planning and developing models to prevent traffic accidents involving motorcycles among high school students through the student council.
道路交通事故是一个重大的全球性问题,特别是骑摩托车的事故,因为这些事故影响到人类的生命和财产。因此,确定事故现场对预防事故非常重要。本研究旨在利用地理信息系统数据(GIS)分析2019年素可泰省高中生摩托车事故现场密度。在研究中,对受访者进行了深度访谈,包括发生过摩托车事故的高中生,以及负责调查学校事故的交通警察。此外,利用事故现场报告对GIS数据层进行排列,并利用核密度估计(Kernel density Estimation, KDE)分析事故现场的密度。研究结果显示,研究区内共发生217起事故。利用GIS数据绘制了事故地点和密度图。交通繁忙时发生事故的地区主要集中在三个主要地区的道路上:Mueang, Si Samrong和Sawankhalok。分析认为,交通事故主要是由于快车道骑行、道路肩窄、道路使用者不遵守交通规则造成的。研究结果被提交给交通当局、学校、农村道路主管部门、地方自治团体,并通过学生会用于规划和开发防止高中生摩托车交通事故的模式。