-Abrari Vajari, Mohammad, Kayvan Aghabayk, Mohammad Sadeghian, and Nirajan Shiwakoti (2020). A Multinomial Logit Model of Motorcycle Crash Severity at Australian Intersections. Journal of Safety Research 73 (June):17–24.
doi.org/10.1016/j.jsr.2020.02.008
-Aron, Maurice, Romain Billot, Nour-Eddin El Faouzi, and Régine Seidowsky (2015). Traffic Indicators, Accidents and Rain: Some Relationships Calibrated on a French Urban Motorway Network. Transportation Research Procedia 10:31–40.
doi.org/10.1016/j.trpro.2015.09.053
-Colagrande, Sandro (2022). A Methodology for the Characterization of Urban Road Safety through Accident Data Analysis.” Transportation Research Procedia 60:504–11. doi.org/10.1016/j.trpro.2021.12.065
-Eliane, Hernandez Garcia Michelle, and Lozano Angelica. (2024). Analysis of Road Accidents in Two Mixed Industrial Urban Zones, Using Nested Poisson and Negative Binomial Models. Transportation Research Procedia 78:377–83. doi.org/10.1016/j.trpro.2024.02.048
-EslamiNezhad, S. A., and M. R. Delavar (2019). An Integrated Network-Constrained Spatial Analysis For Car Accidents: A Case Study Of Tehran City, Iran. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October):335–42.
doi.org/10.5194/isprs-archives-XLII-4-W18-335-2019
-García, María Flor, Armando Ortuño Padilla, Begoña Guirao Abad, and Jairo Casares Blanco. (2021). Urban Road Accidents and Ride-Hailing Services: A Study of Dependence in Madrid. Transportation Research Procedia 58:301–8. doi.org/10.1016/j.trpro.2021.11.041
-Hyodo, Satoshi, and Tomoyuki Todoroki (2018). An Analysis of Risk Factors for
Rear-Ender Accident on Urban Expressway Considering Accident Severity. Transportation Research Procedia 34:203–10. doi.org/10.1016/j.trpro.2018.11.033
-Kaplan, Sigal, and Carlo Giacomo Prato (2012). Risk Factors Associated with Bus Accident Severity in the United States: A Generalized Ordered Logit Model. Journal of Safety Research 43 (3): 171–80.
doi.org/10.1016/j.jsr.2012.05.003
-Rezapour, Mahdi, Ahmed Farid, Sahima Nazneen, and Khaled Ksaibati (2021). Using Machine Leaning Techniques for Evaluation of Motorcycle Injury Severity. IATSS Research 45 (3): 277–85.
doi.org/10.1016/j.iatssr.2020.07.004
-Santos, Kenny, João P. Dias, and Conceição Amado (2022). A Literature Review of Machine Learning Algorithms for Crash Injury Severity Prediction. Journal of Safety Research 80 (February), 254–69.
doi.org/10.1016/j.jsr.2021.12.007
-Wang, Deyu, Qinyi Liu, Liang Ma, Yijing Zhang, and Haozhe Cong (2019). Road Traffic Accident Severity Analysis: A Census-Based Study in China. Journal of Safety Research 70 (September):135–47. doi.org/10.1016/j.jsr.2019.06.002
-Yoon, Junho (2025). Prediction of High-Risk Areas Using the Interpretable Machine Learning: Based on Each Determinant for the Severity of Pedestrian Crashes. Journal of Transport Geography 126 (June):104216.
doi.org/10.1016/j.jtrangeo.2025.104216
-Yuan, Yalong, Min Yang, Yanyong Guo, Soora Rasouli, Zuoxian Gan, and Yifeng Ren (2021). Risk Factors Associated with Truck-Involved Fatal Crash Severity: Analyzing Their Impact for Different Groups of Truck Drivers. Journal of Safety Research 76 (February):154–65. doi.org/10.1016/j.jsr.2020.12.012
