MAPPING ROAD ACCIDENT HOTSPOTS ON MALAYSIAN INTER URBAN EXPRESSWAYS: AN ANALYSIS ON SEVERITY LEVEL
DOI:
https://doi.org/10.21837/pm.v24i41.2016Keywords:
road accident, hotspot, mapping, expressway, ArcGIS, KDEAbstract
Road accidents can have a profound and often life-altering impact on the victims involved. Reducing severity due to road accidents is crucial even when the absolute numbers are relatively low. The problem at hand revolves around the need to ascertain the degree of accident severity at locations identified as hotspots, thus requiring focused interventions to improve road safety. This study aims to identify road accidents hotspots of an inter-urban expressway in Malaysia, and to determine the level of accident severity at locations identified as hotspots. This involves visualizing and analyzing the spatial distribution of road accident data to identify the hotspot locations of road accidents along the expressway. The study employed ArcGIS as a platform for data visualization and analysis. The evaluation of accident hotspots by accident severity level was conducted using Kernel Density Estimation (KDE). Learning from each incident and implementing changes can help prevent future accidents. Targeted safety measures and interventions to mitigate the risks associated with specific locations is crucial in reducing the likelihood and severity of accidents.
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