Shumin Feng
Harbin Institute of Technology
Haiyue Wu
Harbin Institute of Technology
Xianglong Sun
Zhenning Li
In order to explore the influence factors on perceived waiting time, a multiple linear regression model has been used to quantitatively describe the relationship between perceived waiting time and various factors. The model is established with 234 data, which is surveyed with questionnaire at three stops in Harbin, China. The results show that several certain factors (“trip purpose - where to”, “presence of a companion - whether one has a companion or not”, “having a timing device - whether one has a timing device or not”, “riding frequency - how many times one takes one line per week” and “waiting behaviour - what one does while waiting for a bus”) have significant influence on perceived waiting time, which confirms previous findings and supports transferability of results. The significance of “waiting mood - how
about the mood while waiting for a bus” and “reserved waiting time - how long one will wait” are confirmed for the first time in this study. In contrast to previous studies, “waiting time interval - for how long in one day” is a negative variable and socioeconomic variables are non-significant. And it is found that the relationship between perceived waiting time and passengers’ satisfaction with the waiting time follows a decreasing exponential distribution. With this model, the variation trend of the section, where passenger satisfaction value is larger than 0 is obviously steeper than the section smaller than 0. Such result proves that passenger mood with short waiting time is more sensitive than with longer waiting time. And the borderline perceived waiting time, distinguishing satisfied from dissatisfied passengers is proven to be 7.87 minutes when assignment interval of satisfaction is (-25.25], when satisfaction is positive (larger than 0), the accuracy being 70.30%, while the accuracy is 82.71% for
negative satisfaction (less than 0).
Psarros I, Kepaptsoglou K, Karlaftis MG. An empirical investigation of passenger wait time perceptions using hazard-based duration models. Journal of Public Transportation. 2011;14(3):109-122. doi: http://dx.doi.org/10.5038/2375-0901.14.3.6
Mishalani RG, McCord MM, Wirtz J. Passenger wait time perceptions at bus stops: Empirical results and impact on evaluating real-time bus arrival information. Journal of Public Transportation. 2006;9(2):89-106. doi: http://dx.doi.org/10.5038/2375-0901.9.2.5
Tyrinopoulos Y, Antoniou C. Public transit user satisfaction: Variability and policy implications. Transport Policy. 2008;15(4):260-272. doi:10.1016/j.tranpol.2008.06.002
Eboli L, Mazzulla G. A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view. Transport Policy. 2011;18(1):172-181. doi:10.1016/j.tranpol.2010.07.007
Hensher DA. Hierarchical stated response designs and estimation in the context of bus user preference
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
