Technical Papers
Sep 11, 2017

Analyzing Customized Bus Service on a Multimodal Travel Corridor: An Analytical Modeling Approach

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 11

Abstract

Customized bus (CB) service, a new type of public transport service, has emerged in many big cities. The few existing research works on CB have been conceptual and descriptive, based on statistical approaches. This paper analyzes the provision of CB by applying analytical approaches based on demand analysis and network modeling. Several alternative travel modes are considered. The choices of mode and route/service are captured by a logit-type formula, and heterogeneous travelers with a discrete set of values of time (VOTs) are considered. Numerical analysis from one idealized corridor indicates that the introduction of CB service could have a significant effect on mode shift, especially for long-distance trips. Three factors, including CB fare, usage of bus lane, and the out-of-vehicle travel time of CB service, are identified that significantly affect the mode shift performance. Another numerical example on a realistic travel corridor in Beijing is conducted to investigate the influence of CB service on social welfare.

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Acknowledgments

This research is partly supported by the Singapore Ministry of Education (MOE) AcRF Tier 2 Grant MOE2013-T2-2-088.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 143Issue 11November 2017

History

Received: Nov 2, 2016
Accepted: May 17, 2017
Published online: Sep 11, 2017
Published in print: Nov 1, 2017
Discussion open until: Feb 11, 2018

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Authors

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Ph.D. Student, School of Civil and Environmental Engineering, Nanyang Technological Univ., Singapore 639798. E-mail: [email protected]
David Z. W. Wang, Ph.D. [email protected]
Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., Singapore 639798 (corresponding author). E-mail: [email protected]
M. Meng, Ph.D. [email protected]
Research Fellow, TUM CREATE, 1 CREATE Way #10-02 CREATE Tower, Singapore 138602. E-mail: [email protected]

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