Characterization of ridesplitting based on observed data: A case study of Chengdu, China-Reference-Cited by-同舟云学术

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Characterization of ridesplitting based on observed data: A case study of Chengdu, China

Published:2019-03 Issue: Volume:100 Page:330-353
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Li Wenxiang^ORCID,Pu Ziyuan^ORCID,Li Ye,(Jeff) Ban Xuegang

Funder

National Natural Science Foundation of China

National Science Foundation, United States

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference39 articles.

1. What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services;Alemi,2017

2. Adoption of Uber and Lyft in California and impacts on the use of other travel modes;Alemi,2018

3. Baidu Map, 2018. Yingyan Trajectory Services. (accessed May 16th, 2018).

4. Exploring contributing factors to the usage of ridesourcing and regular taxi services with high-resolution GPS data set;Bao,2018

5. The impact of stop-making and travel time reliability on commute mode choice;Bhat;Transp. Res. Part B: Methodol.,2006

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