TY - JOUR
T1 - Quantifying significance of young traveler characteristics in travel mode choices impacted by e-hailing services
AU - Yu, Hao
AU - Liu, Pan
AU - Li, Zhenning
AU - Zhang, Guohui
AU - Pu, Ziyuan
N1 - Funding Information:
The authors would like to thank the graduate assistants at the School of Transportation, Southeast University, for their assistance in data collection. This research was sponsored by the National Natural Science Foundation of China (Grant No. 61803083); the China Postdoctoral Science Foundation (Grant No. 2018M630497).
Publisher Copyright:
© 2020 American Society of Civil Engineers.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - Traditional travel modes have been slowly losing their market share to e-hailing services, especially among younger generations. This paper examines characteristics of young travelers' travel mode choice, with various e-hailing modes described and modeled. A stated preference survey was conducted in Nanjing, China. A total of 314 valid responses were collected from young travelers from 16 to 35 years old. Descriptive statistics illustrate the transition details of the mode choices for interviewees of different genders, income levels, and educational levels. A cross-nested logit (CNL) model was employed to analyze the relationship between impact factor and young travelers' mode choice behaviors, compared with two nested logit models. Factors, including personal profile and different scenario conditions, were examined. Comparison results indicated that the CNL model was statistically superior to the other two models. It was found that young travelers who were male, higher education level, lower income, rigid trip purpose, and long distance were more likely to choose e-hailing services. The modeling results also revealed the expected negative impacts to factors such as male, lower education, rigid trip purpose, and long distance on bus service, and adverse weather on taxi service.
AB - Traditional travel modes have been slowly losing their market share to e-hailing services, especially among younger generations. This paper examines characteristics of young travelers' travel mode choice, with various e-hailing modes described and modeled. A stated preference survey was conducted in Nanjing, China. A total of 314 valid responses were collected from young travelers from 16 to 35 years old. Descriptive statistics illustrate the transition details of the mode choices for interviewees of different genders, income levels, and educational levels. A cross-nested logit (CNL) model was employed to analyze the relationship between impact factor and young travelers' mode choice behaviors, compared with two nested logit models. Factors, including personal profile and different scenario conditions, were examined. Comparison results indicated that the CNL model was statistically superior to the other two models. It was found that young travelers who were male, higher education level, lower income, rigid trip purpose, and long distance were more likely to choose e-hailing services. The modeling results also revealed the expected negative impacts to factors such as male, lower education, rigid trip purpose, and long distance on bus service, and adverse weather on taxi service.
KW - Cross-nested logit
KW - e-hailing service
KW - Stated preference survey
KW - Young traveler
UR - http://www.scopus.com/inward/record.url?scp=85078314914&partnerID=8YFLogxK
U2 - 10.1061/JTEPBS.0000310
DO - 10.1061/JTEPBS.0000310
M3 - Article
AN - SCOPUS:85078314914
SN - 2473-2907
VL - 146
JO - Journal of Transportation Engineering Part A: Systems
JF - Journal of Transportation Engineering Part A: Systems
IS - 3
M1 - 04020002
ER -