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India has one of the highest road fatality rates globally, making the identification and treatment of high-risk accident locations (blackspots) essential to improving road safety. This study focuses on identifying and prioritizing blackspot treatment in Surat, India. Using GIS, Kernel Density Estimation (KDE), and Spatial Density Function, sixteen blackspots were identified according to Ministry of Road Transport and Highways (MoRTH) standards. Each blackspot was assigned a Total Severity Score (TSS), allowing for prioritized treatment based on crash severity and frequency. The results underscore the importance of targeted interventions at high-risk locations and offer a practical framework for identifying and ranking blackspots, which can be applied to improve safety in similar urban settings. A case study of Khatushyam Intersection improvement is presented as a case study highlighting the use of crash data for focused interventions. The study highlights a data-driven approach for prioritizing accident blackspots and reducing crashes and injuries in rapidly urbanizing areas.

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Identification and Prioritization of Accident Blackspots in Surat, India, Using Geographical Information Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Manasi Mahajan,
  • Aninda Bijoy Paul,
  • Rohit Rathod,
  • Shriniwas Arkatkar

摘要

India has one of the highest road fatality rates globally, making the identification and treatment of high-risk accident locations (blackspots) essential to improving road safety. This study focuses on identifying and prioritizing blackspot treatment in Surat, India. Using GIS, Kernel Density Estimation (KDE), and Spatial Density Function, sixteen blackspots were identified according to Ministry of Road Transport and Highways (MoRTH) standards. Each blackspot was assigned a Total Severity Score (TSS), allowing for prioritized treatment based on crash severity and frequency. The results underscore the importance of targeted interventions at high-risk locations and offer a practical framework for identifying and ranking blackspots, which can be applied to improve safety in similar urban settings. A case study of Khatushyam Intersection improvement is presented as a case study highlighting the use of crash data for focused interventions. The study highlights a data-driven approach for prioritizing accident blackspots and reducing crashes and injuries in rapidly urbanizing areas.