Assessing Traffic Safety in Cold Regions for Sustainable and Resilient Infrastructure: A Spatial Analysis and Association Rule Mining Approach
Publication: Cold Regions Engineering 2024: Sustainable and Resilient Engineering Solutions for Changing Cold Regions
ABSTRACT
Cold regions present unique challenges for ensuring traffic safety, necessitating sustainable and resilient engineering practices. Significant hotspot crash locations and causes are the key parameters for creating an informed safety measure; however, previous studies on traffic safety have primarily focused on general factors, such as driver behavior and road conditions, without examining the relationships between incident causes and impacts. This study proposes a novel approach that uses association rule mining to analyze significant associations between traffic crash variables and evaluates spatiotemporal clustering using geographic information system tools. The findings from the spatiotemporal analysis revealed that more crashes occurred during winter, and the hotspot identification results from the Getis-Ord (Gi*) and Anselin Local Moran’s (I) statistics were compelling. The extracted association rules provide a quantitative understanding of the cause-and-effect relationships between various contributing factors. The results will help transportation planners better understand the interrelationships between the factors and their effects, enhancing traffic safety in cold regions.
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Cold Regions Engineering 2024: Sustainable and Resilient Engineering Solutions for Changing Cold Regions
Pages: 174 - 185
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Published online: May 9, 2024
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