Road accidents are a significant concern globally, impacting public safety and infrastructure. This study investigated the application of Geographic Information System (GIS) technology to analyze road safety along the most extended bypass in Kerala, India. Through a detailed review of existing methodologies and the integration of GIS tools, the research identified and characterized accident black spots - areas with a high frequency of accidents. The methodology involved collecting and analyzing secondary and primary data. Secondary data used in the study was the accident data obtained from District Crime Records Bureau (DCRB) of the Police Department and primary data included road characteristics and traffic parameters collected from the study site. Preliminary analysis of secondary data revealed insights into the temporal and demographic aspects of accidents, common types of collisions, and other significant contributing factors leading to accidents. Different approaches were used to identify accident black spots: reactive and proactive. The reactive approach used for black spot determination employed by Ministry of Road Transport and Highways (MoRTH) specifications and the Weighted Severity Index method which relied upon accident data for the analysis. The proactive approach employed the Total Weight and Weighted Overlay Method in GIS to rank the black spots without depending upon the accident data, thereby aiming at proactively identifying potential safety issues for incident prevention. The study’s findings revealed areas with high accident susceptibility, facilitating targeted interventions and remedial measures, including implementing speed breakers, service roads, separate turning lanes at junctions, and enhanced traffic signage at accident-prone locations. Additionally, the study identified the potential of GIS technologies in improving road safety management practices, data visualization, and decision-making processes. Overall, the study underscores the importance of leveraging GIS technology for comprehensive road safety analysis and management, with implications for policy formulation, infrastructure planning, and accident prevention strategies.
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