01697550

Component

Traditional travel modes, such as bus, metro, and taxi, were slowly losing their market share to ride-sourcing services, including tailored taxi, lift-sharing car, and chauffeur-driven car-on-demand service. In this study, travel mode choice behavior characteristics with and without the options of various e-hailing modes were evaluated. Cross-nested logit (CNL) model was employed to explore the impacts of various factors on travel mode choice with and without e-hailing services. A stated preference (SP) survey was conducted in Nanjing, China. A total of 314 effect responses were collected among young interviewees, aged between 16 and 30 years old. Factors, such as personal profile information and different SP conditions, were examined. For comparison purpose, two nested logit models were also estimated for travel mode choice with e-hailing service. Comparison results indicate that the CNL model is statistically superior to the two nested logit model. Factors affecting the mode choice without e-hailing service are gender, trip purpose, weather, departure time, trip distance, travel time, waiting time and travel cost, while factors affecting the mode choice with e-hailing service are gender, income level, trip purpose, weather, departure time, trip distance, travel time, waiting time and travel cost.

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

19-06023

English

0000-0002-0877-6829

6p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Logits; Modal shift; Mode choice; Smartphones; Stated preferences; Taxi services; Travelers; Young adults

Ridehailing

Nanjing (China)

Passenger Transportation; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2019 Paper #19-06023

TRIS, TRB, ATRI

Dec 7 2018 9:31AM