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Analyzing customized bus service on a multimodal travel corridor: An analytical modeling approach

Analyzing customized bus service on a multimodal travel corridor: An analytical modeling approach

Zhang, J., Wang, David Z. W. and Meng, M. ORCID: 0000-0001-7240-6454 (2017) Analyzing customized bus service on a multimodal travel corridor: An analytical modeling approach. Journal of Transportation Engineering, Part A: Systems, 143 (11):04017057. ISSN 2473-2907 (doi:https://doi.org/10.1061/JTEPBS.0000087)

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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.

Item Type: Article
Uncontrolled Keywords: Customized bus; Multimodal traffic equilibrium; Variational inequalities; Social welfare.
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Connected Cities Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 12 Feb 2019 16:11
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/22717

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