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Article: Editorial: Emerging on-demand passenger and logistics systems: Modelling, optimization, and data analytics

TitleEditorial: Emerging on-demand passenger and logistics systems: Modelling, optimization, and data analytics
Authors
Ke, JintaoWang, HaiMasoud, NedaSchiffer, MaximilianCorreia, Gonçalo HA
Issue Date1-Apr-2024
PublisherElsevier
Citation
Transportation Research Part C: Emerging Technologies, 2024, v. 161 How to Cite?
DOI: http://dx.doi.org/10.1016/j.trc.2024.104574
Persistent Identifierhttp://hdl.handle.net/10722/346107
ISSN
0968-090X
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 2.860

 

DC FieldValueLanguage
dc.contributor.authorKe, Jintao-
dc.contributor.authorWang, Hai-
dc.contributor.authorMasoud, Neda-
dc.contributor.authorSchiffer, Maximilian-
dc.contributor.authorCorreia, Gonçalo HA-
dc.date.accessioned2024-09-10T00:30:30Z-
dc.date.available2024-09-10T00:30:30Z-
dc.date.issued2024-04-01-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2024, v. 161-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10722/346107-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleEditorial: Emerging on-demand passenger and logistics systems: Modelling, optimization, and data analytics-
dc.typeArticle-
dc.identifier.doi10.1016/j.trc.2024.104574-
dc.identifier.scopuseid_2-s2.0-85188816368-
dc.identifier.volume161-
dc.identifier.eissn1879-2359-
dc.identifier.issnl0968-090X-

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