Determining factors affecting road users’ acceptability level of waiting time at signalized intersections
Abstract
Traffic lights are installed to reduce crucial conflicts at high-traffic volume intersections. However, waiting time, a critical factor related to the delay and level of service, cannot be avoided at these intersections. In addition, the long waiting time may lead to road users’ impatience. Consequentially, it can motivate them to violate red lights. Therefore, designers should provide an appropriate cycle length and waiting time that meets the road users’ acceptability level. This paper tends to determine factors affecting road users’ acceptability level of waiting time in Hanoi by applying an ordered probit model using questionnaire data. The results demonstrate that the most significant factors include gender, occupation, transportation mode, commuting time/frequency, and traffic law understanding. Specifically, males, people whose occupation is business, who have commuting time in peak hours, who have commuting frequency more than three times per week, and motorcycle riders are sensitive and have less patience with the delay. By contrast, people who understand the traffic law may be more patient to wait at long cycle-length signalized intersection.
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- D.M. Levinson, Speed and delay on signalized arterials. J. Transp. Eng., 124(3) (1998) 258-263. doi:10.1061/(ASCE)0733-947X(1998)124:3(258).
- A. Tirachini, Estimation of travel time and the benefits of upgrading the fare payment technology in urban bus services. Transp. Res. C, 30 (2013) 239-256. doi:10.1016/j.trc.2011.11.007.
- X. Dai, A. Fishbach, When waiting to choose increases patience. Organ. Behav. Hum. Decis. Process., 121(2) (2013) 256-266. doi:10.1016/j.obhdp.2013.01.007.
- L. Dube-Rioux, B.H. Schmitt, F. Leclerc, Consumers' reactions to waiting: when delays affect the perception of service quality. ACR North American Advances, (1989).
- B. van der Bijl, J. Vreeswijk, J. Bie, E. van Berkum. Car drivers' perception and acceptance of waiting time at signalized intersections. in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE. (2011), 451-456. doi:10.1109/ITSC.2011.6082880.
- J. Vreeswijk, E. Van Berkum, B. Van Arem, Evaluating awareness and perception of waiting time at signalized intersections: field study. Transportation research record, 2518(1) (2015) 86-94. doi:10.3141/2518-12.
- N.R.C. Transportation Research Board, Manual Highway Capacity, Washington, DC. (2010).
- P. Chen, G. Yu, X. Wu, Y. Ren, Y. Li, Estimation of red-light running frequency using high-resolution traffic and signal data. Accid. Anal. Prev., 102 (2017) 235-247. doi:10.1016/j.aap.2017.03.010.
- W.E. Baumgaertner, Levels of service--Getting ready for the 21st century. ITE J., 66(1) (1996).
- R. Cameron, G3 F7--An expanded LOS gradation system. ITE J., 66(1) (1996) 36-39.
- D. Othayoth, K.K. Rao, Assessing the relationship between perceived waiting time and level of service at signalized intersection under heterogeneous traffic conditions. Asian Trans.t Stud., 6 (2020) 100024. doi:10.1016/j.eastsj.2020.100024.
- W.H. Greene, D.A. Hensher, Modeling ordered choices: A primer. Cambridge University Press, 2010.
- O. Torres-Reyna, Getting started in Logit and ordered logit regression. Princeton University, (2012).
- T.D. Chu, T. Miwa, T.A. Bui, Q.P. Nguyen, Q.H. Vu, Examining unobserved factors associated with red light running in Vietnam: A latent class model analysis. Transp. Safety Env., 4(1) (2022). doi:10.1093/tse/tdac006.
- T.D. Chu, Exploring factors associated with red-light running: a case study of Hanoi city. Transp. Commun. Sci. J., 72(7) (2021) 800-810. doi:10.47869/tcsj.72.7.3.
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