Uncovering contextual risk patterns in cannabis-involved fatal crashes: A data-driven approach to public health-oriented road safety

By using a method designed for complex categorical datasets, this research provided novel insights into the multifaceted risks associated with drug-impaired driving. The results could inform targeted countermeasures, such as improved roadway lighting, intersection design, and behavioral interventions, offering a data-driven foundation for public health-oriented traffic safety strategies.

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Publication Details

Journal
Journal of Safety Research
Published
2025-12-21
DOI
https://doi.org/10.1016/j.jsr.2025.12.005
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Uncovering contextual risk patterns in cannabis-involved fatal crashes: A data-driven approach to public health-oriented road safety

Kakan Chandra Dey, Sawgat Ahmed Shuvo, Sazzad Bin Bashar Polock, Rohit Chakraborty et al.
Journal of Safety Research
Cannabis and Cannabinoid Research
article

Uncovering contextual risk patterns in cannabis-involved fatal crashes: A data-driven approach to public health-oriented road safety

Kakan Chandra Dey, Sawgat Ahmed Shuvo, Sazzad Bin Bashar Polock, Rohit Chakraborty, Biplov Pandey, Subasish Das
article en

Abstract

By using a method designed for complex categorical datasets, this research provided novel insights into the multifaceted risks associated with drug-impaired driving. The results could inform targeted countermeasures, such as improved roadway lighting, intersection design, and behavioral interventions, offering a data-driven foundation for public health-oriented traffic safety strategies.

Journal of Safety ResearchVol. 96
Texas State University (US), Michigan State University (US)
Sustainable cities and communities
Openalex Percentile: Top 31%
Cannabis and Cannabinoid Research
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