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Article: Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach

TitleJoint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach
Authors
Ke, JFeng, SZhu, ZYang, HYe, J
Issue Date2021
Citation
Transportation Research Part C: Emerging Technologies, 2021, v. 127, p. 103063 How to Cite?
DOI: http://dx.doi.org/10.1016/j.trc.2021.103063
Persistent Identifierhttp://hdl.handle.net/10722/320996
ISI Accession Number ID
WOS:000656963900007

 

DC FieldValueLanguage
dc.contributor.authorKe, J-
dc.contributor.authorFeng, S-
dc.contributor.authorZhu, Z-
dc.contributor.authorYang, H-
dc.contributor.authorYe, J-
dc.date.accessioned2022-11-01T04:45:03Z-
dc.date.available2022-11-01T04:45:03Z-
dc.date.issued2021-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2021, v. 127, p. 103063-
dc.identifier.urihttp://hdl.handle.net/10722/320996-
dc.languageeng-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.titleJoint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach-
dc.typeArticle-
dc.identifier.emailKe, J: kejintao@hku.hk-
dc.identifier.authorityKe, J=rp02901-
dc.identifier.doi10.1016/j.trc.2021.103063-
dc.identifier.hkuros340781-
dc.identifier.volume127-
dc.identifier.spage103063-
dc.identifier.epage103063-
dc.identifier.isiWOS:000656963900007-

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