Lin, P, Pei, M, Liu, R orcid.org/0000-0003-0627-3184 et al. (1 more author) (2019) Flexible transit routing model considering passengers’ willingness to pay. IET Intelligent Transport Systems, 13 (5). pp. 841-850. ISSN 1751-956X
Abstract
This paper proposes an alternative flexible transit model with two levels of bus stops, A level and B level. A-level bus stops are fixed, while B-level bus stops are flexible and provide service only when passengers indicate a strong willingness to pay (WTP). This fare structure encourages passengers to choose bus stops with their mobile phones or computers. An optimization model of 0-1 integer-programming is formulated based on whether certain B-level stops can be serviced. With a numerical example, we compare the performance of the proposed traversing method and a tabu search algorithm, both of which are adapted to solve the model. Finally, a real case is provided to evaluate the proposed transit system against comparable systems (e.g., a fixed-route transit system and a taxi service), and the result shows that the flexible transit routing model will help both passengers and bus companies, thus creating a win-win situation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Institution of Engineering and Technology. This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. |
Keywords: | Public transit; flexible transit system; willingness to pay; optimal model; routing problem |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Department of Transport P4002008 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Jan 2019 14:11 |
Last Modified: | 08 May 2019 07:48 |
Status: | Published |
Publisher: | Institution of Engineering and Technology |
Identification Number: | 10.1049/iet-its.2018.5220 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141237 |