Spatial-Temporal Diffusion Convolutional Network: A Novel Framework for Taxi Demand Forecasting

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datacite.relatedItem.firstPage193
datacite.relatedItem.issue3
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorAling Luo
dc.contributor.authorBoyi Shangguan
dc.contributor.authorCan Yang
dc.contributor.authorFan Gao
dc.contributor.authorZhe Fang
dc.contributor.authorDayu Yu
dc.date.accessioned2025-05-14T13:41:56Z
dc.date.available2025-05-14T13:41:56Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/ijgi11030193
dc.identifier.otherjz000147-0190
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23948
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleSpatial-Temporal Diffusion Convolutional Network: A Novel Framework for Taxi Demand Forecasting
dc.typeArticle
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