The Impact of Travel Scenarios and Perceptions on Choice Behavior towards Multi-Forms of Ride-Hailing Services: Case of Nanjing, China

被引:0
作者
Lu, Ke [1 ]
Wei, Yunlin [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, 219 Ningliu Rd, Nanjing 210044, Peoples R China
关键词
ride-hailing services; travel mode choice; multinomial probit model; scenario; Nanjing; TECHNOLOGY ACCEPTANCE MODEL; UBER; TAXI;
D O I
10.3390/jtaer19030089
中图分类号
F [经济];
学科分类号
02 ;
摘要
The travel behavior of urban residents has gradually changed in response to the widespread adoption of ride-hailing services. This paper explores the travel mode choices made by individuals utilizing multiple forms of ride-hailing services. Eight scenarios were established, which considered combinations of activity types (commute or recreation), travel periods (peak or off-peak), and price levels (discounted or normal rates for ride-hailing). Moreover, socio-psychological variables such as perceived value, behavioral intention, and subjective norm were integrated into the analysis. The findings reveal that consumers of ride-hailing services generally exhibit characteristics such as being younger in age, having higher income, lack of car ownership, and having greater experience in using ride-hailing services. Furthermore, the inclusion of socio-psychological variables significantly improved the model's fitness. Travelers exhibit a preference for ride-hailing services in scenarios involving recreational activities, normal travel periods, and discounted ride-hailing prices. In conclusion, this study sheds light on the evolving travel behavior of urban residents in light of the widespread availability of ride-hailing services. The incorporation of socio-psychological factors is essential in comprehending and predicting travel mode choices. The insights derived from this research contribute to a nuanced understanding of the factors influencing the adoption of and preference for ride-hailing services among urban commuters.
引用
收藏
页码:1812 / 1830
页数:19
相关论文
共 57 条
[1]   Mobility-on-demand: An empirical study of internet-based ride-hailing adoption factors, travel characteristics and mode substitution effects [J].
Acheampong, Ransford A. ;
Siiba, Alhassan ;
Okyere, Dennis K. ;
Tuffour, Justice P. .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 115
[2]   Taxing Uber q [J].
Agrawal, David R. ;
Zhao, Weihua .
JOURNAL OF PUBLIC ECONOMICS, 2023, 221
[3]   Hey boomer, "your ride has arrived": Are you willing to continue using the ride-hailing app? [J].
Akram, Umair ;
Lavuri, Rambabu ;
Mathur, Swati .
JOURNAL OF RETAILING AND CONSUMER SERVICES, 2024, 77
[4]   What drives the use of ridehailing in California? Ordered probit models of the usage frequency of Uber and Lyft [J].
Alemi, Farzad ;
Circella, Giovanni ;
Mokhtarian, Patricia ;
Handy, Susan .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 102 :233-248
[5]  
Alley J., 2016, Bachelors Thesis
[6]   The cost of convenience: Ridehailing and traffic fatalities [J].
Barrios, John M. ;
Hochberg, Yael, V ;
Yi, Hanyi .
JOURNAL OF OPERATIONS MANAGEMENT, 2023, 69 (05) :823-855
[7]   On-demand ride hailing as publicly subsidized mobility: An empirical case study of Innisfil Transit [J].
Benaroya, Anne ;
Sweet, Matthias ;
Mitra, Raktim .
CASE STUDIES ON TRANSPORT POLICY, 2023, 11
[8]   Examining user attitudes towards ride-hailing services - A SEM-MIMIC Ordered Probit approach [J].
Bhaduri, Eeshan ;
Goswami, Arkopal Kishore .
TRAVEL BEHAVIOUR AND SOCIETY, 2023, 30 :41-59
[9]   A heteroscedastic extreme value model of intercity travel mode choice [J].
Bhat, CR .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1995, 29 (06) :471-483
[10]   Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling [J].
Bhat, CR .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1998, 32 (07) :495-507