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Article: Can taxi data inform bus route improvement? A case study in Shanghai

TitleCan taxi data inform bus route improvement? A case study in Shanghai
Authors
KeywordsAccessibility to transit
bus route improvement
bus service evaluation
taxi data
visualization
Issue Date30-Sep-2023
PublisherTaylor and Francis Group
Citation
Transportation Letters, 2023, v. 16, n. 9, p. 1018-1038 How to Cite?
AbstractTaxis not only substitute for but also complement bus transit. With the complementary relationship, taxi trips reveal the origin-destination pairs where the level of bus service is low. This study attempts to utilize taxi data to identify potential weak links in the bus network. An evaluation methodology is proposed using taxi trips to evaluate the bus routes by incorporating accessibility measures at the stop level and convenience measures at the route level. With over 52,000 taxi orders collected in Jiading District of Shanghai, China, the corresponding alternative bus trips are simulated and then classified into 16 types of patterns according to the stop-level and route-level measures. The top five types, accounting for 78% of all trips, are selected for visual and quantitative analysis. The findings show that the proposed methodology can well assist bus agencies to improve service efficiency with better planning and design of bus routes.
Persistent Identifierhttp://hdl.handle.net/10722/366386
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 0.853

 

DC FieldValueLanguage
dc.contributor.authorJi, Yuxiong-
dc.contributor.authorZhou, Minhang-
dc.contributor.authorShen, Yu-
dc.contributor.authorZhang, Xiaohu-
dc.contributor.authorDu, Yuchuan-
dc.date.accessioned2025-11-25T04:19:07Z-
dc.date.available2025-11-25T04:19:07Z-
dc.date.issued2023-09-30-
dc.identifier.citationTransportation Letters, 2023, v. 16, n. 9, p. 1018-1038-
dc.identifier.issn1942-7867-
dc.identifier.urihttp://hdl.handle.net/10722/366386-
dc.description.abstractTaxis not only substitute for but also complement bus transit. With the complementary relationship, taxi trips reveal the origin-destination pairs where the level of bus service is low. This study attempts to utilize taxi data to identify potential weak links in the bus network. An evaluation methodology is proposed using taxi trips to evaluate the bus routes by incorporating accessibility measures at the stop level and convenience measures at the route level. With over 52,000 taxi orders collected in Jiading District of Shanghai, China, the corresponding alternative bus trips are simulated and then classified into 16 types of patterns according to the stop-level and route-level measures. The top five types, accounting for 78% of all trips, are selected for visual and quantitative analysis. The findings show that the proposed methodology can well assist bus agencies to improve service efficiency with better planning and design of bus routes.-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofTransportation Letters-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAccessibility to transit-
dc.subjectbus route improvement-
dc.subjectbus service evaluation-
dc.subjecttaxi data-
dc.subjectvisualization-
dc.titleCan taxi data inform bus route improvement? A case study in Shanghai -
dc.typeArticle-
dc.identifier.doi10.1080/19427867.2023.2262207-
dc.identifier.scopuseid_2-s2.0-85173970135-
dc.identifier.volume16-
dc.identifier.issue9-
dc.identifier.spage1018-
dc.identifier.epage1038-
dc.identifier.eissn1942-7875-
dc.identifier.issnl1942-7867-

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