Preliminary communication
https://doi.org/10.7307/ptt.v28i2.1726
Factors on perceived waiting time and implications on passengers’ satisfaction with waiting time
Shumin Feng
; Harbin Institute of Technology
Haiyue Wu
; Harbin Institute of Technology
Xianglong Sun
Zhenning Li
Abstract
In order to explore the influence factors on perceived waiting time, a multiple linear regression model is 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 in three stops in Harbin, China. The results show that several certain factors (“trip purpose-to where”, “presence of a companion-weather have a companion or not”, “having a timing device-weather have a timing device or not”, “riding frequency-how many times to take one line per week” and “waiting behavior-what to do when wait 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 when wait for a bus” and “reserved waiting time-how long will wait” are confirmed for the first time in this study. In contrast to previous studies, “waiting time interval-what time of 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 waiting time follows a decreasing exponential distribution. With this model, the variation trend of the section, where passengers’ satisfaction value is larger than 0, is obviously steeper than the section less than 0. Such result proves that passengers’ mood with short time are more sensitive than with longer waiting time. And the borderline perceived waiting time, distinguishing satisfied from dissatisfied passengers, is proved to be 7.87 minutes when assignment interval of satisfaction is (-25,25], when satisfaction is positive (larger than 0), the accuracy is 70.30%, while the accuracy is 82.71% for negative satisfaction (less than 0).
Keywords
perceived waiting time; linear regression model; passengers’ satisfaction with waiting time; borderline perceived waiting time
Hrčak ID:
156726
URI
Publication date:
25.4.2016.
Visits: 2.218 *