Cyclist crash severity modeling: A hybrid approach of XGBoost-SHAP and random parameters logit with heterogeneity in means and variances
This research can guide policymakers in identifying key factors and interactions that affect crash severity, leading to targeted safety improvements.
Authors
- Maria Rella Riccardi (ORCID: https://orcid.org/0000-0003-2434-2577)
- Filomena Mauriello (ORCID: https://orcid.org/0000-0001-5682-471X)
- Antonella Scarano (ORCID: https://orcid.org/0000-0002-4100-453X)
- Kayvan Aghabayk (ORCID: https://orcid.org/0000-0001-5752-9704)
- Alfonso Montella (ORCID: https://orcid.org/0000-0001-9472-7056)
- Matin Sadeghi
Institutions
- University of Tehran (IR)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Journal of Safety Research
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1016/j.jsr.2025.04.003
- Citations
- 7
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 9.12