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.
Authors
- Kakan Chandra Dey (ORCID: https://orcid.org/0000-0002-5875-6180)
- Sawgat Ahmed Shuvo (ORCID: https://orcid.org/0009-0007-0594-9863)
- Sazzad Bin Bashar Polock
- Rohit Chakraborty
- Biplov Pandey
- Subasish Das
Institutions
- Texas State University (US)
- Michigan State University (US)
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