Exploring risky driving behaviors in severe taxi crashes: Accounting for unobserved heterogeneities using latent class clustering and partial proportional odds model
These results evidence that the submodels have better fitness than the whole model. These findings reveal the necessity of the combined approach and the remarkable heterogeneities across various clusters, providing insightful guidance to make cluster-specific countermeasures for road safety improvement.
Authors
- Gang Ren (ORCID: https://orcid.org/0000-0002-3412-0831)
- Shunchao Wang (ORCID: https://orcid.org/0000-0002-7826-5880)
- Jingfeng Ma (ORCID: https://orcid.org/0000-0002-8246-5973)
- Yuanxiang Yang
Institutions
- Kunming University of Science and Technology (CN)
- Southeast University (BD)
- Aalto University (FI)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1080/15389588.2025.2476618
- Citations
- 1
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China