GIS-BASED ANALYSIS TO DETECT ROAD ACCIDENT HOTSPOTS USING NETWORK KERNEL DENSITY ESTIMATION

Thailand has one of the highest numbers of road accidents globally. A study of the location, duration, and cause of accidents provided critical information to plan and resolve tribulations. In this study, spatiotemporal analysis by employing geographic information system techniques by using network kernel density estimation as a tool along with a network toolbox was performed to analyze the density of road accidents in the Sri Racha district, Chon Buri province. Data for 2012-2017 were obtained from the road accident data center. Three areas with high accident densities-Laem Chabang City municipality, Sri Racha municipality, and Bowin subdistrict-were investigated because these areas are considered the economic, industrial, and transportation centers of Sri Racha, respectively. Surveillance guidelines for areas with high accident densities can be drawn from the results of this study, and they include planning approaches to prevent road accidents during specific high-risk hours.