Multimodal transit network design in a hub-and-spoke network framework

This study focuses on the reconfiguration of bus services in an urban area with a newly constructed rail system. A hub-and-spoke network framework is introduced for the multimodal transit system. The rail services are taken as the backbone, and the bus services (main bus lines and feeder bus lines)...

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Vydáno v:Transportmetrica (Abingdon, Oxfordshire, UK) Ročník 14; číslo 8; s. 706 - 735
Hlavní autoři: Huang, Di, Liu, Zhiyuan, Fu, Xiao, Blythe, Philip T.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Abingdon Taylor & Francis 14.09.2018
Taylor & Francis Ltd
Témata:
bi-level programming problem
Bus stops
cluster-based hub location problem
hub-and-spoke network
Mass transit
Mathematical models
Multimodal transit network design
Network design
Numerical methods
Rail feeder buses
Railway stations
Reconfiguration
Search algorithms
Swarm intelligence
Traveling salesman problem
Urban transportation
ISSN:2324-9935, 2324-9943
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Shrnutí:This study focuses on the reconfiguration of bus services in an urban area with a newly constructed rail system. A hub-and-spoke network framework is introduced for the multimodal transit system. The rail services are taken as the backbone, and the bus services (main bus lines and feeder bus lines) are reconfigured to better integrate with rail services forming the core of a Mobility as a Service (MaaS). A cluster-based approach is used for selecting hubs from rail stations. Bus stops are taken as non-hub nodes. Main bus lines are designed based on a heuristic line generation approach and feeder bus lines are developed by solving a travelling salesman problem. A bi-level programming model is proposed to determine frequencies of each mode and addressed by the artificial bee colony algorithm. The effectiveness of the proposed methods is illustrated by numerical examples and applied to the Mandl's benchmark compared with existing studies.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:2324-9935
2324-9943
DOI:10.1080/23249935.2018.1428234