Cell Phone Related Violations and Motorcycle Accidents: A Bayesian Approach
The effects of cell phone use on motorcycle riders’ behaviour are studied in smart city, Bhubaneswar, capital of state odisha, India. Most of motorcycle riders confess using cell phone devices while driving. Moreover, relationship between near miss and accidents has been found with the use of cell phone, reflecting a risk factor for motorcycle riders.“ This study examines the relationship between such type of behaviours, comprising calling and manipulating the screen, and the frequency of near miss and actual accidents among motorcycle riders. We conducted a web based survey measuring cell phone-specific violations, human errors, near miss and accident to motorcycle riders (N=289; age range; 18-60). We hypothesized that the relationship between cell phone use and near miss would be explained by an increase in the number of human errors committed, thus increasing the likelihood of being involved in near miss. Moreover, we hypothesized that near miss will predict actual accidents. Outcomes of path analysis showed that cell phone-specific violations predicted accidents throughout their consecutive effects on human errors and near miss only in the subsample of men. These findings offer an explanation of how cell phone use contributes to increase the likelihood of getting involved in near miss and actual accidents. The current study builds a path model explaining how cell phone-specific violations lead to more near miss among motorcycle riders.
Backer-Grøndahl, A., & Sagberg, F. (2011). Driving and telephoning: Relative accident risk when using hand-held and hands-free mobile phones. Safety science, 49(2), 324-330. DOI: https://doi.org/10.1016/j.ssci.2010.09.009
Beck, K. H., & Watters, S. (2016). Characteristics of college students who text while driving: Do their perceptions of a significant other influence their decisions?. Transportation research part F: traffic psychology and behaviour, 37, 119-128. DOI: https://doi.org/10.1016/j.trf.2015.12.017
Bradburn, N. M., Rips, L. J., & Shevell, S. K. (1987). Answering autobiographical questions: The impact of memory and inference on surveys. Science, 236(4798), 157-161. DOI: https://doi.org/10.1126/science.3563494
Bucsuházy, K., Matuchová, E., Zůvala, R., Moravcová, P., Kostíková, M., & Mikulec, R. (2020). Human factors contributing to the road traffic accident occurrence. Transportation research procedia, 45, 555-561.
Byrne, B. M. (2010). Structural equation modelling with AMOS: Basic concepts, applications, and programming (2nd Ed). New York, NY: Routledge, Taylor and Francis Group.
Chang, H. L., & Yeh, T. H. (2007). Motorcyclist accident involvement by age, gender, and risky behaviors in Taipei, Taiwan. Transportation research part F: traffic psychology and behaviour, 10(2), 109-122. DOI: https://doi.org/10.1016/j.trf.2006.08.001
Chapman, P., & Underwood, G. (2000). Forgetting near‐accidents: the roles of severity, culpability and experience in the poor recall of dangerous driving situations. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 14(1), 31-44. DOI: https://doi.org/10.1002/(SICI)1099-0720(200001)14:1<31::AID-ACP622>3.0.CO;2-9
Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd Ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Coquelet, C., Granie, M. A., & Griffet, J. (2019). Conformity to gender stereotypes, motives for riding and aberrant behaviors of French motorcycle riders. Journal of Risk Research, 22(8), 1078-1089. DOI: https://doi.org/10.1080/13669877.2018.1454494
De Gruyter, C., Truong, L. T., & Nguyen, H. T. (2017). Who’s calling? Social networks and mobile phone use among motorcyclists. Accident Analysis & Prevention, 103, 143-147. DOI: https://doi.org/10.1016/j.aap.2017.04.010
De Waard, D., Westerhuis, F., & Lewis-Evans, B. (2015). More screen operation than calling: the results of observing cyclists' behaviour while using mobile phones. Accident Analysis & Prevention, 76, 42-48. DOI: https://doi.org/10.1016/j.aap.2015.01.004
De Angelis, M., Fraboni, F., Puchades, V. M., Prati, G., & Pietrantoni, L. (2020). Use of smartphone and crash risk among cyclists. Journal of Transportation Safety & Security, 12(1), 178-193.
Feenstra, H., Ruiter, R. A., Schepers, J., Peters, G. J., & Kok, G. (2011). Measuring risky adolescent cycling behaviour. International journal of injury control and safety promotion, 18(3), 181-187. DOI: https://doi.org/10.1080/17457300.2010.540334
Goldenbeld, C., Houtenbos, M., Ehlers, E., & De Waard, D. (2012). The use and risk of portable electronic devices while cycling among different groups. Journal of Safety Research, 43(1), 1–8 DOI: https://doi.org/10.1016/j.jsr.2011.08.007
Harrison, M. A. (2011). College students’ prevalence and perceptions of text messaging while driving. Accident Analysis & Prevention, 43(4), 1516-1520. DOI: https://doi.org/10.1016/j.aap.2011.03.003
Hayes, A. F. (2013). Introduction to mediation, moderation and conditional process analysis: A regression-based approach. New York, NY: The Guilford Press.
Hung, D. V., Stevenson, M. R., & Ivers, R. Q. (2008). Barriers to, and factors associated, with observed motorcycle helmet use in Vietnam. Accident Analysis & Prevention, 40(4), 1627-1633. DOI: https://doi.org/10.1016/j.aap.2008.05.002
Ismeik, M., Al-Kaisy, A., & Al-Ansari, K. (2015). Perceived risk of phoning while driving: A case study from Jordan. Safety science, 78, 1-10. DOI: https://doi.org/10.1016/j.ssci.2015.02.011
Lin, M. R., & Kraus, J. F. (2009). A review of risk factors and patterns of motorcycle injuries. Accident Analysis & Prevention, 41(4), 710-722. DOI: https://doi.org/10.1016/j.aap.2009.03.010
Manan, M. M. A., Jonsson, T., & Várhelyi, A. (2013). Development of a safety performance function for motorcycle accident fatalities on Malaysian primary roads. Safety science, 60, 13-20. DOI: https://doi.org/10.1016/j.ssci.2013.06.005
McEvoy, S. P., Stevenson, M. R., McCartt, A. T., Woodward, M., Haworth, C., Palamara, P., & Cercarelli, R. (2005). Role of mobile phones in motor vehicle crashes resulting in hospital attendance: a case-crossover study. bmj, 331(7514), 428. DOI: https://doi.org/10.1136/bmj.38537.397512.55
Moskal, A., Martin, J. L., & Laumon, B. (2012). Risk factors for injury accidents among moped and motorcycle riders. Accident Analysis & Prevention, 49, 5-11. DOI: https://doi.org/10.1016/j.aap.2010.08.021
National Transportation Safety Committee of Vietnam. Traffic Safety Statistics Report. Hanoi, Vietnam: Author; 2015
Ngo, A. D., Rao, C., Hoa, N. P., Hoy, D. G., Trang, K. T. Q., & Hill, P. S. (2012). Road traffic related mortality in Vietnam: evidence for policy from a national sample mortality surveillance system. BMC public health, 12(1), 1-9. DOI: https://doi.org/10.1186/1471-2458-12-561
Ohmori, N., Harata, N., Sugitani, Y., & Kunimoto, N. (2011). Travel behavior of university students on rainy days: a preliminary study on international comparison between East Asian countries. In Proceedings of the Eastern Asia Society for Transportation Studies Vol. 8 (The 9th International Conference of Eastern Asia Society for Transportation Studies, 2011) (pp. 93-93). Eastern Asia Society for Transportation Studies.
Pérez-Núñez, R., Hidalgo-Solórzano, E., Vera-López, J. D., Lunnen, J. C., Chandran, A., Híjar, M., & Hyder, A. A. (2014). The prevalence of mobile phone use among motorcyclists in three Mexican cities. Traffic injury prevention, 15(2), 148-150. DOI: https://doi.org/10.1080/15389588.2013.802776
Petridou, E., & Moustaki, M. (2000). Human factors in the causation of road traffic crashes. European journal of epidemiology, 16(9), 819-826. DOI: https://doi.org/10.1023/A:1007649804201
Phommachanh, S., Ichikawa, M., Nakahara, S., Mayxay, M., & Kimura, A. (2017). Student motorcyclists’ mobile phone use while driving in Vientiane, Laos. International journal of injury control and safety promotion, 24(2), 245-250. DOI: https://doi.org/10.1080/17457300.2016.1166141
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879. DOI: https://doi.org/10.1037/0021-9010.88.5.879
Rathinam, C., Nair, N., Gupta, A., Joshi, S., & Bansal, S. (2007). Self-reported motorcycle riding behaviour among school children in India. Accident Analysis & Prevention, 39(2), 334-339. DOI: https://doi.org/10.1016/j.aap.2006.09.002
Roehler, D. R., Ear, C., Parker, E. M., Sem, P., & Ballesteros, M. F. (2015). Fatal motorcycle crashes: a growing public health problem in Cambodia. International journal of injury control and safety promotion, 22(2), 165-171. DOI: https://doi.org/10.1080/17457300.2013.876050
Sakashita, C., Senserrick, T., Lo, S., Boufous, S., de Rome, L., & Ivers, R. (2014). The Motorcycle Rider Behavior Questionnaire: Psychometric properties and application amongst novice riders in Australia. Transportation research part F: traffic psychology and behaviour, 22, 126-139. DOI: https://doi.org/10.1016/j.trf.2013.10.005
Schafer, J. L. (1999). Multiple imputation: a primer. Statistical methods in medical research, 8(1), 3-15. DOI: https://doi.org/10.1191/096228099671525676
Sheykhfard, A., & Haghighi, F. (2020). Driver distraction by digital billboards? Structural equation modeling based on naturalistic driving study data: a case study of Iran. Journal of safety research, 72, 1-8
Skrondal, A., & Rabe-Hesketh, S. (2005). Structural equation modeling: Categorical variables. In B.S., Everitt, and D.C., Howell, (Eds.). Encyclopedia of Statistics in Behavioral Sciences. Hoboken, NJ: Wiley. DOI: https://doi.org/10.1002/0470013192.bsa596
Stephens, A. N., Brown, J., de Rome, L., Baldock, M. R. J., Fernandes, R., & Fitzharris, M. (2017). The relationship between Motorcycle Rider Behaviour Questionnaire scores and crashes for riders in Australia. Accident Analysis & Prevention, 102, 202-212. DOI: https://doi.org/10.1016/j.aap.2017.03.007
Susilo, Y. O., Joewono, T. B., & Vandebona, U. (2015). Reasons underlying behaviour of motorcyclists disregarding traffic regulations in urban areas of Indonesia. Accident Analysis & Prevention, 75, 272-284. DOI: https://doi.org/10.1016/j.aap.2014.12.016
Truong, L. T., Nguyen, H. T., & De Gruyter, C. (2019). Mobile phone use while riding a motorcycle and crashes among university students. Traffic injury prevention, 20(2), 204-210.
Tongklao, A., Jaruratanasirikul, S., & Sriplung, H. (2016). Risky behaviors and helmet use among young adolescent motorcyclists in Southern Thailand. Traffic injury prevention, 17(1), 80-85. DOI: https://doi.org/10.1080/15389588.2015.1045062
Tran NL. Context Dependencies of Travel Behavior: A Case Study on Motorcycle in Hanoi [PhD thesis]. Hiroshima, Japan: Graduate School for International Development and Cooperation, Hiroshima University; 2013
Truong, L. T., De Gruyter, C., & Nguyen, H. T. (2017). Calling, texting, and searching for information while riding a motorcycle: A study of university students in Vietnam. Traffic injury prevention, 18(6), 593-598. DOI: https://doi.org/10.1080/15389588.2017.1283490
Truong, L. T., Kieu, L. M., & Vu, T. A. (2016). Spatiotemporal and random parameter panel data models of traffic crash fatalities in Vietnam. Accident Analysis & Prevention, 94, 153-161. DOI: https://doi.org/10.1016/j.aap.2016.05.028
Truong, L. T., Nguyen, H. T., & De Gruyter, C. (2016). Mobile phone use among motorcyclists and electric bike riders: A case study of Hanoi, Vietnam. Accident Analysis & Prevention, 91, 208-215. DOI: https://doi.org/10.1016/j.aap.2016.03.007
Twisk, D. A., Commandeur, J. J., Vlakveld, W. P., Shope, J. T., & Kok, G. (2015). Relationships amongst psychological determinants, risk behaviour, and road crashes of young adolescent pedestrians and cyclists: Implications for road safety education programmes. Transportation research part F: traffic psychology and behaviour, 30, 45-56. DOI: https://doi.org/10.1016/j.trf.2015.01.011
Vu TA, Shimizu T. Towards development and evaluation of the motorcycle drivers re-education program in vietnam: modeling of motorcycle driver’s undesired behaviors. Paper presented at: 11th World Conference on Transport Research (WCTR); 2007; Berkeley, CA
Wong LP. Socio-demographic and behavioural characteristics of illegal motorcycle street racers in Malaysia. BMC Public Health. 2011;11: 446–453. doi:10.1186/1471-2458-11-446 DOI: https://doi.org/10.1186/1471-2458-11-446
World Health Organization. Global Status Report on Road Safety 2015. Geneva, Switzerland: Author; 2015.
World Health Organization. Powered Two- and Three-Wheeler Safety: A Road Safety Manual for Decision-Makers and Practitioners. Geneva, Switzerland: Author; 2017
Zhou, R., Rau, P. L. P., Zhang, W., & Zhuang, D. (2012). Mobile phone use while driving: predicting drivers’ answering intentions and compensatory decisions. Safety science, 50(1), 138-149. DOI: https://doi.org/10.1016/j.ssci.2011.07.013