A comparative analysis of risk factors in taxi-related crashes using XGBoost and SHAP

References

• Aghabayk, K., Mashhadizade, L., & Moridpour, S. (2020). Need safer taxi drivers? Use psychological characteristics to find or train! Sustainability, 12(10), 4206. https://doi.org/10.3390/su12104206
   Web of Science ®Google Scholar
• Amaya, R. M. R., & Pinto, S. M. B. (2016). Knowledge, attitudes and practices of occupational risks in Colombian taxi drivers. International Journal of Occupational Safety and Ergonomics, 22(1), 152–158. https://doi.org/10.1080/10803548.2015.1111712
   PubMed Web of Science ®Google Scholar
• Ananthram, S. (2016). Chapter 5 – HRM as a strategic business partner: The contributions of strategic agility, knowledge management and management development in multinational enterprises-empirical insights from India. In Asia Pacific Human Resource Management and Organisational Effectiveness (pp. 87–109). Chandos Publishing. https://doi.org/10.1016/B978-0-08-100643-6.00005-1
   Google Scholar
• Ayoub, J., Yang, X. J., & Zhou, F. (2021). Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 102–116. https://doi.org/10.1016/j.trf.2020.12.015
   Web of Science ®Google Scholar
• Barrios, J. M., Hochberg, Y. V., & Yi, H. (2023). The cost of convenience: Ridesharing and traffic fatalities. Journal of Operations Management, 69(5), 823–855. https://doi.org/10.1002/joom.1221
   Web of Science ®Google Scholar
• Berneking, M., Rosen, I. M., Kirsch, D. B., Chervin, R. D., Carden, K. A., Ramar, K., Aurora, R. N., Kristo, D. A., Malhotra, R. K., Martin, J. L., Olson, E. J., Rosen, C. L., Rowley, J. A., & Gurubhagavatula, I, American Academy of Sleep Medicine Board of Directors. (2018). The risk of fatigue and sleepiness in the ridesharing industry: An American Academy of Sleep Medicine position statement. Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine, 14(4), 683–685. https://doi.org/10.5664/jcsm.7072
   PubMed Web of Science ®Google Scholar
• Cheng, A. S. K., Ting, K. H., Liu, K. P. Y., & Ba, Y. T. (2016). Impulsivity and risky decision making among taxi drivers in Hong Kong: An event-related potential study. Accident; Analysis and Prevention, 95(Pt B), 387–394. https://doi.org/10.1016/j.aap.2015.12.021
   PubMedGoogle Scholar
• Christie, N., & Ward, H. (2019). The health and safety risks for people who drive for work in the gig economy. Journal of Transport & Health, 13, 115–127. https://doi.org/10.1016/j.jth.2019.02.007
   Web of Science ®Google Scholar
• Didi. (2020). Safety transparency report on Hitchhiker’s Trial Run. https://page.udache.com/public-biz/public-review/index.html#/articleDetail?aid=720575940405 18020&channel=.
   Google Scholar
• Greenwood, B. N., & Wattal, S, Temple University. (2017). Show me the way to go home: An empirical investigation of ride-sharing and alcohol related motor vehicle fatalities. MIS Quarterly, 41(1), 163–187. https://doi.org/10.25300/MISQ/2017/41.1.08
   Web of Science ®Google Scholar
• Havârneanu, C. E., Măirean, C., & Popuşoi, S. A. (2019). Workplace stress as predictor of risky driving behavior among taxi drivers. The role of job-related affective state and taxi driving experience. Safety Science, 111, 264–270. https://doi.org/10.1016/j.ssci.2018.07.020
   Web of Science ®Google Scholar
• Hussain, Z., Hussain, Q., Soliman, A., Mohammed, S., Mamo, W. G., & Alhajyaseen, W. K. M. (2023). Aberrant driving behaviors as mediators in the relationship between driving anger patterns and crashes among taxi drivers: An investigation in a complex cultural context. Traffic Injury Prevention, 24(5), 393–401. https://doi.org/10.1080/15389588.2023.2199898
   PubMed Web of Science ®Google Scholar
• Kang, L. J., Zhao, Y., & Meng, Q. (2022). An empirical study of taxi crashes in Singapore. Asian Transport Studies, 8, 100056. https://doi.org/10.1016/j.eastsj.2022.100056
   Google Scholar
• Kirk, D. S., Cavalli, N., & Brazil, N. (2020). The implications of ride-hailing for risky driving and road accident injuries and fatalities. Social Science & Medicine (1982), 250, 112793. https://doi.org/10.1016/j.socscimed.2020.112793
   PubMed Web of Science ®Google Scholar
• Kwon, S., Kim, H., Kim, G. S., & Cho, E. (2019). Fatigue and poor sleep are associated with driving risk among Korean occupational drivers. Journal of Transport & Health, 14, 100572. https://doi.org/10.1016/j.jth.2019.100572
   Web of Science ®Google Scholar
• Li, M. K., Yu, J. J., Ma, L., & Zhang, W. (2019). Modeling and mitigating fatigue-related accident risk of taxi drivers. Accident; Analysis and Prevention, 123, 79–87. https://doi.org/10.1016/j.aap.2018.11.001
   PubMed Web of Science ®Google Scholar
• Lundberg, S., & Lee, S. I. (2017). A unified approach to interpreting model predictions. Advances in Neural Information Processing Systems, 30, 4768–4777. https://doi.org/10.48550/arXiv.1705.07874.
   Google Scholar
• Ma, M., Yan, X., Huang, H., & Abdel-Aty, M. (2010). Safety of public transportation occupational drivers: Risk perception, attitudes, and driving behavior. Transportation Research Record: Journal of the Transportation Research Board, 2145(1), 72–79. https://doi.org/10.3141/2145-09
   Google Scholar
• Mao, H., Deng, X., Jiang, H., Shi, L., Li, H., Tuo, L., Shi, D., & Guo, F. (2020). Driving safety assessment for ride-hailing drivers. Accident; Analysis and Prevention, 149, 105574. https://doi.org/10.1016/j.aap.2020.105574
   PubMed Web of Science ®Google Scholar
• Mehdizadeh, M., Shariat-Mohaymany, A., & Nordfjaern, T. (2019). Driver behavior and crash involvement among professional taxi and truck drivers: Light passenger cars versus heavy goods vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 86–98. https://doi.org/10.1016/j.trf.2018.12.010
   Web of Science ®Google Scholar
• Menéndez, C., Socias-Morales, C., Konda, S., & Ridenour, M. (2019). Individual, business-related, and work environment factors associated with driving tired among taxi drivers in two metropolitan U.S. cities. Journal of Safety Research, 70, 71–77. https://doi.org/10.1016/j.jsr.2019.05.001
   PubMed Web of Science ®Google Scholar
• Meng, F., Li, S., Cao, L., Li, M., Peng, Q., Wang, C., & Zhang, W. (2015). Driving fatigue in professional drivers: A survey of truck and taxi drivers. Traffic Injury Prevention, 16(5), 474–483. https://doi.org/10.1080/15389588.2014.973945
   PubMed Web of Science ®Google Scholar
• Meng, F., Xu, P., Wong, S. C., Huang, H. L., & Li, Y. C. (2017). Occupant-level injury severity analyses for taxis in Hong Kong: A Bayesian space-time logistic model. Accident; Analysis and Prevention, 108, 297–307. https://doi.org/10.1016/j.aap.2017.08.010
   PubMed Web of Science ®Google Scholar
• Morrison, C. N., Jacoby, S. F., Dong, B., Delgado, M. K., & Wiebe, D. J. (2018). Ridesharing and motor vehicle crashes in 4 US cities: An interrupted time-series analysis. American Journal of Epidemiology, 187(2), 224–232. https://doi.org/10.1093/aje/kwx233
   PubMed Web of Science ®Google Scholar
• Newnam, S., Mamo, W. G., & Tulu, G. S. (2014). Exploring differences in driving behaviour across age and years of education of taxi drivers in Addis Ababa, Ethiopia. Safety Science, 68, 1–5. https://doi.org/10.1016/j.ssci.2014.02.012
   Web of Science ®Google Scholar
• Nguyen-Phuoc, D. Q., Gruyter, C. D., Nguyen, H. A., Nguyen, T., & Su, D. N. (2020). Risky behaviours associated with traffic crashes among app-based motorcycle taxi drivers in Vietnam. Transportation Research Part F: Traffic Psychology and Behaviour, 70, 249–259.
   Google Scholar
• Noh, Y., Kwon, O. H., & Yoon, Y. J. (2020). Comparative risk factor analyses on bi-level injury severity of taxi and private car crashes in Seoul, South Korea. Traffic Injury Prevention, 21(3), 188–194. https://doi.org/10.1080/15389588.2019.1710834
   PubMed Web of Science ®Google Scholar
• Pan, H. Y., Wang, Y. G., & Szűcs, G. (2023). Work-traffic crashes and aberrant driving behaviors among full-time ride-hailing and taxi drivers: A comparative study. Transportation Letters, 15(10), 1366–1375. https://doi.org/10.1080/19427867.2022.2157075
   Web of Science ®Google Scholar
• Peng, Z., Wang, Y., & Luo, X. (2020). How does financial burden influence the crash rate among taxi drivers? A self-reported questionnaire study in China. Traffic Injury Prevention, 21(5), 324–329. https://doi.org/10.1080/15389588.2020.1759046
   PubMed Web of Science ®Google Scholar
• Peng, Z., Wang, Y., & Truong, L. T. (2022). Individual and combined effects of working conditions, physical and mental conditions, and risky driving behaviors on taxi crashes in China. Safety Science, 151, 105759. https://doi.org/10.1016/j.ssci.2022.105759
   Web of Science ®Google Scholar
• Peng, Z., Zhang, H., & Wang, Y. (2021). Work-related factors, fatigue, risky behaviours and traffic accidents among taxi drivers: A comparative analysis among age groups. International Journal of Injury Control and Safety Promotion, 28(1), 58–67. https://doi.org/10.1080/17457300.2020.1837885
   PubMed Web of Science ®Google Scholar
• Rejali, S., Aghabayk, K., & Shiwakoti, N. (2022). A clustering approach to identify high-risk taxi drivers based on self-reported driving behavior. Journal of Advanced Transportation, 2022, 1–16. https://doi.org/10.1155/2022/6511225
   Web of Science ®Google Scholar
• Shi, J., Hussian, M., & Peng, D. (2020). Aberrant driving behaviours among ride-hailing drivers: Direct and indirect effects of personal attributes and work-condition factors. International Journal of Crashworthiness, 2020, 1–11. https://doi.org/10.1080/13588265.2020.1858646
   Google Scholar
• Steenkamp, J. B. E. M., Jong, M., & Baumgartner, H. (2010). Socially desirable response tendencies in survey research. Journal of Marketing Research, 47(2), 199–214. https://doi.org/10.1509/jmkr.47.2.19
   Web of Science ®Google Scholar
• Tay, R., & Choi, J. (2016). Factors associated with crashes involving taxi owners and non-owners: A case of moral hazard and adverse selection? Accident; Analysis and Prevention, 87, 78–82. https://doi.org/10.1016/j.aap.2015.11.028
   PubMed Web of Science ®Google Scholar
• Truong, L. T., & Nguyen, H. T. T. (2019). Mobile phone related crashes among motorcycle taxi drivers. Accident; Analysis and Prevention, 132, 105288. https://doi.org/10.1016/j.aap.2019.105288
   PubMed Web of Science ®Google Scholar
• Truong, L., Tay, R., & Nguyen, H. (2021). Investigating health issues of motorcycle taxi drivers: A case study of Vietnam. Journal of Transport & Health, 20, 100999. https://doi.org/10.1016/j.jth.2020.100999
   Web of Science ®Google Scholar
• Vahedi, J., Shariat Mohaymany, A., Tabibi, Z., & Mehdizadeh, M. (2018). Aberrant driving behaviour, risk involvement, and their related factors among taxi drivers. International Journal of Environmental Research and Public Health, 15(8), 1626. https://doi.org/10.3390/ijerph15081626
   PubMed Web of Science ®Google Scholar
• Wang, Y., Li, L., & Prato, C. G. (2019). The relation between working conditions, aberrant driving behaviour and crash propensity among taxi drivers in China. Accident; Analysis and Prevention, 126, 17–24. https://doi.org/10.1016/j.aap.2018.03.028
   PubMed Web of Science ®Google Scholar
• Wang, Y., Li, L., Feng, L., & Peng, H. (2014). Professional drivers’ views on risky driving behaviors and accident liability: A questionnaire survey in Xining, China. Transportation Letters, 6(3), 126–135. https://doi.org/10.1179/1942787514Y.0000000019
   Web of Science ®Google Scholar
• Yang, C., Chen, M. Y., & Yuan, Q. (2021). The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis. Accident; Analysis and Prevention, 158, 106153. https://doi.org/10.1016/j.aap.2021.106153
   PubMed Web of Science ®Google Scholar