Influence of distracted driving of online car-hailing drivers on overall driving performance

References

• Al-Darrab, I. A., Khan, Z. A., & Ishrat, S. I. (2009). An experimental study on the effect of mobile phone conversation on drivers’ reaction time in braking response. Journal of Safety Research, 40(3), 185–189. https://doi.org/10.1016/j.jsr.2009.02.009
   PubMed Web of Science ®Google Scholar
• Bingham, C. R. (2014). Driver distraction: A perennial but preventable public health threat to adolescents. The Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine, 54(5 Suppl.), S3–S5. https://doi.org/10.1016/j.jadohealth.2014.02.015
   PubMed Web of Science ®Google Scholar
• Caird, J. K., Willness, C. R., Steel, P., & Scialfa, C. (2008). A meta-analysis of the effects of cell phones on driver performance. Accident: Analysis and Prevention, 40(4), 1282–1293. https://doi.org/10.1016/j.aap.2008.01.009
   PubMed Web of Science ®Google Scholar
• Chang, L. Y., & Chien, J. T. (2013). Analysis of driver injury severity in truck-involved accidents using a non-parametric classification tree model. Safety Science, 51(1), 17–22. https://doi.org/10.1016/j.ssci.2012.06.017
   Web of Science ®Google Scholar
• Chee, P., Irwin, J., Bennett, J. M., & Carrigan, A. J. (2021). The mere presence of a mobile phone: Does it influence driving performance? Accident: Analysis and Prevention, 159, 106226. https://doi.org/10.1016/j.aap.2021.106226
   PubMed Web of Science ®Google Scholar
• Chen, Z., Wu, C., Zhong, M., Lyu, N., & Huang, Z. (2015). Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China. Accident: Analysis and Prevention, 81, 251–259. https://doi.org/10.1016/j.aap.2015.02.021
   PubMed Web of Science ®Google Scholar
• Chisholm, S. L., Caird, J. K., & Lockhart, J. (2008). The effects of practice with MP3 players on driving performance. Accident: Analysis and Prevention, 40(2), 704–713. https://doi.org/10.1016/j.aap.2007.09.014
   PubMed Web of Science ®Google Scholar
• Choudhary, P., Pawar, N. M., Velaga, N. R., & Pawar, D. S. (2020). Overall performance impairment and crash risk due to distracted driving: A comprehensive analysis using structural equation modelling. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 120–138. https://doi.org/10.1016/j.trf.2020.08.018
   Web of Science ®Google Scholar
• Choudhary, P., & Velaga, N. R. (2019). Effects of phone use on driving performance: A comparative analysis of young and professional drivers. Safety Science, 111, 179–187. https://doi.org/10.1016/j.ssci.2018.07.009
   Web of Science ®Google Scholar
• Engelberg, J. K., Hill, L. L., Rybar, J., & Styer, T. (2015). Distracted driving behaviors related to cell phone use among middle-aged adults. Journal of Transport & Health, 2(3), 434–440. https://doi.org/10.1016/j.jth.2015.05.002
   Web of Science ®Google Scholar
• Figueira, A. d. C., Pitombo, C. S., de Oliveira, P. T. M. e S., & Larocca, A. P. C. (2017). Identification of rules induced through decision tree algorithm for detection of traffic accidents with victims: A study case from Brazil. Case Studies on Transport Policy, 5(2), 200–207. https://doi.org/10.1016/j.cstp.2017.02.004
   Web of Science ®Google Scholar
• Haque, M. M., Ohlhauser, A. D., Washington, S., & Boyle, L. N. (2016). Decisions and actions of distracted drivers at the onset of yellow lights. Accident: Analysis and Prevention, 96, 290–299. https://doi.org/10.1016/j.aap.2015.03.042
   PubMed Web of Science ®Google Scholar
• Haque, M. M., & Washington, S. (2014). A parametric duration model of the reaction times of drivers distracted by mobile phone conversations. Accident: Analysis and Prevention, 62, 42–53. https://doi.org/10.1016/j.aap.2013.09.010
   PubMed Web of Science ®Google Scholar
• Joshuva, A., Kumar, R. S., Sivakumar, S., Deenadayalan, G., & Vishnuvardhan, R. (2020). An insight on VMD for diagnosing wind turbine blade faults using C4.5 as feature selection and discriminating through multilayer perceptron. Alexandria Engineering Journal, 59(5), 3863–3879. https://doi.org/10.1016/j.aej.2020.06.041
   Web of Science ®Google Scholar
• Kashani, A. T., & Mohaymany, A. S. (2011). Analysis of the traffic injury severity on two-lane, two-way rural roads based on classification tree models. Safety Science, 49(10), 1314–1320. https://doi.org/10.1016/j.ssci.2011.04.019
   Web of Science ®Google Scholar
• Leung, S., Croft, R. J., Jackson, M. L., Howard, M. E., & McKenzie, R. J. (2012). A comparison of the effect of mobile phone use and alcohol consumption on driving simulation performance. Traffic Injury Prevention, 13(6), 566–574. https://doi.org/10.1080/15389588.2012.683118
   PubMed Web of Science ®Google Scholar
• Li, N., & Busso, C. (2015). Predicting perceived visual and cognitive distractions of drivers with multimodal features. IEEE Transactions on Intelligent Transportation Systems, 16(1), 51–65. https://doi.org/10.1109/TITS.2014.2324414
   Web of Science ®Google Scholar
• Li, Y., Chu, X., Tian, D., Feng, J., & Mu, W. (2021). Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm. Applied Soft Computing, 113, 107924. https://doi.org/10.1016/j.asoc.2021.107924
   Web of Science ®Google Scholar
• Li, X., Oviedo-Trespalacios, O., Rakotonirainy, A., & Yan, X. (2019). Collision risk management of cognitively distracted drivers in a car-following situation. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 288–298. https://doi.org/10.1016/j.trf.2018.10.011
   Web of Science ®Google Scholar
• Ma, Y., Li, W., Tang, K., Zhang, Z., & Chen, S. (2021). Driving style recognition and comparisons under driving tasks based on driver behavior in the online car-hailing industry. Accident: Analysis and Prevention, 154, 106096. https://doi.org/10.1016/j.aap.2021.106096
   PubMed Web of Science ®Google Scholar
• Mahpour, A. R., Amiri, A., & Ebrahimi, E. S. (2019). Do drivers have a good understanding of distraction by wrap advertisements? Investigating the impact of wrap advertisement on distraction-related driver’s accidents. Advances in Transportation Studies, 48, 19–30.
   Google Scholar
• Mitchell, T. M. (1997). Machine learning. McGraw Hill.
   Google Scholar
• Nie, Y. M. (2017). How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China. Transportation Research Part C: Emerging Technologies, 79, 242–256. https://doi.org/10.1016/j.trc.2017.03.017
   Web of Science ®Google Scholar
• Overton, T. L., Rives, T. E., Hecht, C., Shafi, S., & Gandhi, R. R. (2015). Distracted driving: Prevalence, problems, and prevention. International Journal of Injury Control and Safety Promotion, 22(3), 187–192. https://doi.org/10.1080/17457300.2013.879482
   PubMed Web of Science ®Google Scholar
• Pakgohar, A., Tabrizi, R. S., Khalili, M., & Esmaeili, A. (2011). The role of human factor in incidence and severity of road crashes based on the CART and LR regression: A data mining approach. Procedia Computer Science, 3, 764–769. https://doi.org/10.1016/j.procs.2010.12.126
   Google Scholar
• Papadimitriou, E., Argyropoulou, A., Tselentis, D. I., & Yannis, G. (2019). Analysis of driver behaviour through smartphone data: The case of mobile phone use while driving. Safety Science, 119, 91–97. https://doi.org/10.1016/j.ssci.2019.05.059
   Web of Science ®Google Scholar
• Peng, Y., Boyle, L. N., & Lee, J. D. (2014). Reading, typing, and driving: How interactions with in-vehicle systems degrade driving performance. Transportation Research, Part F: Traffic Psychology and Behaviour, 27, 182–191. https://doi.org/10.1016/j.trf.2014.06.001
   Web of Science ®Google Scholar
• Phuksuksakul, N., Kanitpong, K., & Chantranuwathana, S. (2021). Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance. Accident: Analysis and Prevention, 151, 105945. https://doi.org/10.1016/j.aap.2020.105945
   PubMed Web of Science ®Google Scholar
• Pires, C., Torfs, K., Areal, A., Goldenbeld, C., Vanlaar, W., Granié, M.-A., Stürmer, Y. A., Usami, D. S., Kaiser, S., Jankowska-Karpa, D., Nikolaou, D., Holte, H., Kakinuma, T., Trigoso, J., Van den Berghe, W., & Meesmann, U. (2020). Car drivers’ road safety performance: A benchmark across 32 countries. IATSS Research, 44(3), 166–179. https://doi.org/10.1016/j.iatssr.2020.08.002
   Web of Science ®Google Scholar
• Qiao, F., Zhang, R., & Yu, L. (2011). Using NASA-Task Load Index to assess drivers’ workload on freeway guide sign structures [Paper presentation]. ICCTP 2011: Towards Sustainable Transportation Systems (pp. 4342–4353). https://doi.org/10.1061/41186(421)428
   Google Scholar
• Qu, W., Ge, Y., Guo, Y., Sun, X., & Zhang, K. (2020). The influence of WeChat use on driving behavior in China: A study based on the theory of planned behavior. Accident: Analysis and Prevention, 144, 105641. https://doi.org/10.1016/j.aap.2020.105641
   PubMed Web of Science ®Google Scholar
• Sarkar, S., Patel, A., Madaan, S., & Maiti, J. (2016). Prediction of occupational accidents using decision tree approach [Paper presentation]. 2016 IEEE Annual India Conference (INDICON) (pp. 1–6). IEEE. https://doi.org/10.1109/INDICON.2016.7838969
   Google Scholar
• Shaaban, K., Gaweesh, S., & Ahmed, M. M. (2018). Characteristics and mitigation strategies for cell phone use while driving among young drivers in Qatar. Journal of Transport & Health, 8, 6–14. https://doi.org/10.1016/j.jth.2018.02.001
   Web of Science ®Google Scholar
• Sina News (2018). The illegal behavior of online car hailing is twice that of taxis. https://news.sina.com.cn/c/2018-08-28/doc-ihifuvpi0367563.shtml
   Google Scholar
• Stavrinos, D., Jones, J. L., Garner, A. A., Griffin, R., Franklin, C. A., Ball, D., Welburn, S. C., Ball, K. K., Sisiopiku, V. P., & Fine, P. R. (2013). Impact of distracted driving on safety and traffic flow. Accident; Analysis and Prevention, 61, 63–70. https://doi.org/10.1016/j.aap.2013.02.003
   PubMed Web of Science ®Google Scholar
• Sterkenburg, J., & Jeon, M. (2020). Impacts of anger on driving performance: A comparison to texting and conversation while driving. International Journal of Industrial Ergonomics, 80, 102999. https://doi.org/10.1016/j.ergon.2020.102999
   Web of Science ®Google Scholar
• Stutts, J. C., Reinfurt, D. W., & Rodgman, E. A. (2001). The role of driver distraction in crashes: An analysis of 1995-1999 Crashworthiness Data System Data. Annual Proceedings. Association for the Advancement of Automotive Medicine, 45, 287–301.
   PubMedGoogle Scholar
• Sullman, M. J., Przepiorka, A. M., Prat, F., & Blachnio, A. P. (2018). The role of beliefs in the use of hands-free and handheld mobile phones while driving. Journal of Transport & Health, 9, 187–194. https://doi.org/10.1016/j.jth.2018.04.001
   Web of Science ®Google Scholar
• Tao, D., Zhang, R., & Qu, X. (2017). The role of personality traits and driving experience in self-reported risky driving behaviors and accident risk under Chinese drivers. Accident: Analysis and Prevention, 99(Pt A), 228–235. https://doi.org/10.1016/j.aap.2016.12.009
   PubMedGoogle Scholar
• Thapa, R., Codjoe, J., Ishak, S., & McCarter, K. S. (2015). Post and during event effect of cell phone talking and texting on driving performance—A driving simulator study. Traffic Injury Prevention, 16(5), 461–467. https://doi.org/10.1080/15389588.2014.969803
   PubMed Web of Science ®Google Scholar
• Theofilatos, A., Ziakopoulos, A., Papadimitriou, E., & Yannis, G. (2018). How many crashes are caused by driver interaction with passengers? A meta-analysis approach. Journal of Safety Research, 65, 11–20. https://doi.org/10.1016/j.jsr.2018.02.001
   PubMed Web of Science ®Google Scholar
• Topolšek, D., Areh, I., & Cvahte, T. (2016). Examination of driver detection of roadside traffic signs and advertisements using eye tracking. Transportation Research, Part F: Traffic Psychology and Behaviour, 43, 212–224. https://doi.org/10.1016/j.trf.2016.10.002
   Web of Science ®Google Scholar
• Vollrath, M., Clifford, C., & Huemer, A. K. (2021). Even experienced phone users drive worse while texting–a driving simulator study. Transportation Research, Part F: Traffic Psychology and Behaviour, 78, 218–225. https://doi.org/10.1016/j.trf.2021.02.007
   Web of Science ®Google Scholar
• Westlake, E. J., & Boyle, L. N. (2012). Perceptions of driver distraction under teenage drivers. Transportation Research, Part F: Traffic Psychology and Behaviour, 15(6), 644–653. https://doi.org/10.1016/j.trf.2012.06.004
   Web of Science ®Google Scholar
• Wilson, F. A., & Stimpson, J. P. (2010). Trends in fatalities from distracted driving in the United States, 1999 to 2008. American Journal of Public Health, 100(11), 2213–2219. https://doi.org/10.2105/AJPH.2009.187179
   PubMed Web of Science ®Google Scholar
• Yang, L., Ma, R., Zhang, H. M., Guan, W., & Jiang, S. (2018). Driving behavior recognition using EEG data from a simulated car-following experiment. Accident: Analysis and Prevention, 116, 30–40. https://doi.org/10.1016/j.aap.2017.11.010
   PubMed Web of Science ®Google Scholar
• Zhang, G., Cai, Y., Jiang, X., Yao, T., & Fan, Y. (2022). Causal mediation analysis of the impacts of distracted driving on crash injury risks. International Journal of Injury Control and Safety Promotion, 29(4), 556–565. https://doi.org/10.1080/17457300.2022.2090580
   PubMed Web of Science ®Google Scholar
• Zhou, R., Zhang, Y., & Shi, Y. (2020). Driver’s distracted behavior: The contribution of compensatory beliefs increases with higher perceived risk. International Journal of Industrial Ergonomics, 80, 103009. https://doi.org/10.1016/j.ergon.2020.103009
   Web of Science ®Google Scholar