Identifying Black Spot: A GIS Approach to Road Safety and Accident Severity Patterns

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Ajay Sambhaji Nikam; Kailas Patil

Identifying Black Spot: A GIS Approach to Road Safety and Accident Severity Patterns

Authors: Ajay Sambhaji Nikam, Kailas Patil

Unique Paper ID: 182355
Volume: 12
Issue: 2
PageNo: 1855-1858

Keywords: Geographic Information Systems Road Safety Spatial Analysis Accident Severity Index Black Spot

Abstract:
Road safety is a dynamic element of sustainable urban growth especially in rapidly expanding cities like Pune. This research aims to identify and examine accident-prone zones which are known as "black spots" along the Yerwada to Alandi road, which faces increasing traffic congestion and frequent accidents. Utilizing five years of detailed accident records from 2020 to 2024, the study employs Geographic Information System (GIS) technology for spatial analysis supplemented by Severity Index (SI) and Accident Severity Index (ASI) methods to identify and prioritize dangerous segments. The approach combines accident reports, traffic volume data and field case studies to design the spatial distribution of minor, major and fatal crashes. Key findings of the study specify that locations like Yerwada and Vishrantwadi consistently record high accident rates and severity which are mainly due to poor road design, missing pedestrian facilities and weak traffic control. Rear-end and head-on collisions are the most frequent types of accidents. Further, the study highlights the crucial role of merging GIS models with traffic engineering insights to effectively detect, visualize and address black spots. Also, it provides recommendations for targeted safety measures such as dedicated lanes, enhanced signage and stricter enforcement to reduce risks and improve road safety. This methodology offers a replicable framework for urban traffic safety planning in other large cities.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 1855-1858

Identifying Black Spot: A GIS Approach to Road Safety and Accident Severity Patterns

Available:https://ijirt.org/article?manuscript=182355

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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