Risky riding behaviours among motorcyclists at intersections in Hanoi city: A comparison between private and commercial motorcyclists
Abstract: 633
| 
PDF: 349 
##plugins.themes.academic_pro.article.main##
Author
Keywords:
motorcycle
traffic accident
riding behaviour
binary logistic regression
intersection
Abstract
The rapid development of commercial motorcycle services (passenger or food delivery) has contributed to
the increase of the number of road traffic accidents. Research on unsafe driving behaviour among motorcycle users is needed. The data of this study is collected at 31 intersections in Hanoi, Vietnam by observation method. The binary logistic regression model is used to analyse the collected data. The results show that, using the phone while riding is the most common unsafe riding behaviour among commercial motorcyclists (e.i. delivery riders, app-based taxi riders). The research results take an important role in the development of policies on traffic safety.
References
-
[1] A. Tuan and T. Shimizu, "Modeling of household motorcycle ownership behaviour in Hanoi city”, Journal of the Eastern Asia Society for Transportation Studies, vol. 6, 2005, pp. 1751-1765.
[2] Peden et al., World report on road traffic injury prevention. World Health Organization, 2004.
[3] P. Hsu, E. A. F. M. Sadullah, and I. N. X. Dao, A comparison study on motorcycle traffic development in some Asian countries–case of Taiwan, Malaysia and Vietnam, EASTS's ICRA, 2003.
[4] Q. Nguyen-Phuoc, C. De Gruyter, H. A. Nguyen, T. Nguyen, and D. N. Su, "Risky behaviours associated with traffic crashes among app-based motorcycle taxi drivers in Vietnam”, Transportation Research Part F: Traffic Psychology and Behaviour, vol. 70, 2020, pp. 249-259.
[5] C. Vũ, Bài giảng: Lý thuyết nghiệp vụ bàn I, Trường ĐH Tôn Đức Thắng, 2012.
[6] Wang, S. Xie, X. Ye, X. Yan, J. Chen, and W. Li, "Analyzing E-bikers’ risky riding behaviors, safety attitudes, risk perception, and riding confidence with the structural equation model”, International journal of environmental research and public health, vol. 17, no. 13, 2020, p. 4763.
[7] -T. P. Anh, N.-P. Q. Duy, P. C. Tho, and F. Nakamura, "Modeling of Urban Public Transport Choice Behaviour in Developing Countries: A Case Study of Da Nang, Vietnam”, in International Conference on Green Technology and Sustainable Development, 2020, pp. 338-350: Springer.
[8] Ramos, E. Diez, K. Pérez, A. Rodriguez-Martos, M. T. Brugal, and J. R. Villalbí, "Young people's perceptions of traffic injury risks, prevention and enforcement measures: a qualitative study”, Accident Analysis & Prevention, vol. 40, no. 4, 2008, pp. 1313-1319.
[9] Khan, S. B. Zaidi, and A. Ali, "Evaluating the nature of distractive driving factors towards road traffic accident”, Civil Engineering Journal, vol. 6, no. 8, 2020, pp. 1555-1580.
[10] A. Trinh and T. T. A. Vo, "Motorbike driver's decision models for drinking and driving behavior”, Journal of the Eastern Asia Society for Transportation Studies, vol. 11, 2015, pp. 2055-2069.
[11] Sheehan, V. Siskind, and J. Greenslade, "Social and psychological predictors of young people's involvement in fatal and serious injury crashes”, Research, Policing and Education, Plevin and Associates Pty Ltd, Burnside, Australia, 2002, pp. 237-243.
[12] R. Pandey, T. Neupane, B. Chalise, S. Chaudhary, N. Shrestha, and B. Bista, "Serious Injury and its Correlates among School Going Adolescents in Nepal: A cross-sectional study”, Journal of Nepal Health Research Council, vol. 18, no. 3, 2020, pp. 506-12.
[13] Eensoo, M. Harro, H. Pullmann, J. Allik, and J. Harro, "Association of traffic behavior with personality and platelet monoamine oxidase activity in schoolchildren”, Journal of Adolescent Health, vol. 40, no. 4, 2007, pp. 311-317.
[14] -T. Wong, Y.-S. Chung, and S.-H. Huang, "Determinants behind young motorcyclists’ risky riding behavior”, Accident Analysis & Prevention, vol. 42, no. 1, 2010, pp. 275-281.
[15] Hongsranagon, T. Khompratya, S. Hongpukdee, P. Havanond, and N. Deelertyuenyong, "Traffic risk behavior and perceptions of Thai motorcyclists: a case study”, IATSS research, vol. 35, no. 1, 2011, pp. 30-33.
[16] A. TRINH, "Determination of Optimal Social-Cognitive Factors for the Analysis of Speeding Behaviors in Mixed-Traffic Environments”, Journal of the Eastern Asia Society for Transportation Studies, vol. 12, 2017, pp. 1884-1903.
[17] Papakostopoulos and D. Nathanael, "The complex interrelationship of work-related factors underlying risky driving behavior of food delivery riders in Athens, Greece”, Safety and health at work, vol. 12, no. 2, 2021, pp. 147-153.
[18] Y. Wu and B. P. Loo, "Motorcycle safety among motorcycle taxi drivers and nonoccupational motorcyclists in developing countries: a case study of Maoming, South China”, Traffic injury prevention, vol. 17, no. 2, 2016, pp. 170-175.
[19] O. Oviedo-Trespalacios, M. M. Haque, M. King, and S. Washington, "Understanding the impacts of mobile phone distraction on driving performance: A systematic review”, Transportation Research Part C: Emerging Technologies, vol. 72, 2016, pp. 360-380
Read more
##plugins.themes.academic_pro.article.sidebar##
Published
Nov 30, 2022
Download
How to Cite
Nguyễn Văn Biên, Hoàng Nhật Linh, Mai Xuân Nhật, Trần Thị Phương Anh, and Nguyễn Phước Quý Duy. “Risky Riding Behaviours Among Motorcyclists at Intersections in Hanoi City: A Comparison Between Private and Commercial Motorcyclists”. The University of Danang - Journal of Science and Technology, vol. 20, no. 11.1, Nov. 2022, pp. 1-6, https://jst-ud.vn/jst-ud/article/view/8004.
