Measuring taxi ridesharing effects and its spatiotemporal pattern in Seoul, Korea-Reference-Cited by-同舟云学术

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Measuring taxi ridesharing effects and its spatiotemporal pattern in Seoul, Korea

Published:2023-01 Issue: Volume:30 Page:148-162
ISSN:2214-367X
Container-title:Travel Behaviour and Society
language:en
Short-container-title:Travel Behaviour and Society

Author:

Choi Junyong,Kim Youngchul,Kwak Minchul,Park Minju,Lee David

Funder

Ministry of Land, Infrastructure and Transport

National Research Foundation of Korea

Korea Agency for Infrastructure Technology Advancement

Publisher

Elsevier BV

Subject

Transportation

Reference29 articles.

1. Optimization for dynamic ride-sharing: A review;Agatz;Eur. J. Oper. Res.,2012

2. On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment;Alonso-Mora;Proceedings of the National Academy of Sciences of the United States of America,2017

3. An open-data approach for quantifying the potential of taxi ridesharing;Barann;Decision Support System,2017

4. Environmental benefits of taxi ride sharing in Beijing;Cai;Energy,2019

5. From taxi GPS traces to social and community dynamics;Castro;ACM Comput. Surv.,2013

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1. Understanding the potential of taxi sharing: The case of Chengdu;Heliyon;2024-05

2. What determines the real-world CO2 emission reductions of ridesplitting trips?;Travel Behaviour and Society;2024-04

3. Spatial Pattern and Driving Mechanism of Urban Taxi Fares in China;Sage Open;2024-04

4. Research on the Evolution and Regulation Strategy of Urban Taxi Carpooling Supply and Demand: A Nonlinear Dynamic Method;2024

5. Sustainable decisions in a ridesharing system with a tri-objective optimization approach;Transportation Research Part D: Transport and Environment;2023-12

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