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Flexible transit routing model considering passengers’ willingness to pay
Author(s) -
Pei Mingyang,
Lin Peiqun,
Liu Ronghui,
Ma Yingying
Publication year - 2019
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2018.5220
Subject(s) - tabu search , transit (satellite) , routing (electronic design automation) , integer programming , computer science , service (business) , vehicle routing problem , willingness to pay , traverse , transit system , transport engineering , service level , bus rapid transit , operations research , public transport , mathematical optimization , engineering , computer network , business , mathematics , economics , geography , algorithm , microeconomics , statistics , geodesy , marketing
This study 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 optimisation model of 0–1 integer‐programming is formulated based on whether certain B‐level stops can be serviced. With a numerical example, the authors 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.

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