Systemic Analysis for Identifying High-Risk Crash Locations in Rural Areas: A Florida Case Study


Reducing crashes and improving traffic safety is challenging for small and rural areas due to limited data availability. While spot analysis could be used based on crash history, this method is insufficient especially when there are no clear “hot spots” in the crash history, a common condition in the rural areas. Therefore, this study applied a risk-based analysis across 27 small and rural counties in Florida, examining various roadway characteristics such as intersection types and angles, distances of crashes to intersections and curves, curve characteristics and surrogate data for traffic volumes. The study developed a systemic prediction method which proved successful in determining risk locations when applied to individual counties.


Ilir Bejleri | Associate Professor | University of Florida

Ilir Bejleri is an Associate Professor and Co-Director of GeoPlan Center at the department of Urban and Regional Planning at University of Florida. Dr. Bejleri specializes in the use of geospatial technologies in transportation information systems. Dr. Bejleri has conceptualized and directed the development of GIS-based systems for mapping and analysis of crashes and citations such as Signal Four Analytics and Geolocation system for the State of Florida.

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Session B – San Marcos
Ilir Bejleri

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