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dc.contributor.authorZhang, P.
dc.contributor.authorYi, W.
dc.contributor.authorSong, Yongze
dc.contributor.authorYan, P.
dc.contributor.authorWu, P.
dc.contributor.authorShemery, Ammar
dc.contributor.authorHampson, Keith
dc.contributor.authorChan, A.P.C.
dc.date.accessioned2025-06-22T17:04:40Z
dc.date.available2025-06-22T17:04:40Z
dc.date.issued2025
dc.identifier.citationZhang, P., and Yi, W., and Song, Y., and Yan, P., and Wu, P., and Shemery, A., and Hampson, K., and Chan, A. P. C. 2025. Dynamic spatiotemporal graph network for traffic accident risk prediction. GIScience & Remote Sensing, 62(1).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/97962
dc.identifier.doi10.1080/15481603.2025.2514330
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleDynamic spatiotemporal graph network for traffic accident risk prediction
dc.typeJournal Article
dcterms.source.volume62
dcterms.source.number1
dcterms.source.titleGIScience & Remote Sensing
dc.date.updated2025-06-22T17:04:39Z
curtin.departmentSchool of Design and the Built Environment
curtin.accessStatusOpen access
curtin.facultyFaculty of Humanities
curtin.contributor.orcidSong, Yongze [0000-0003-3420-9622]
curtin.contributor.scopusauthoridSong, Yongze [57200073199]
curtin.repositoryagreementV3


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