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Article: A framework for human-computer interactive street network design based on a multi-stage deep learning approach

TitleA framework for human-computer interactive street network design based on a multi-stage deep learning approach
Authors
Fang, ZQi, JFan, LHuang, JJin, YYang, T
Issue Date2022
Citation
Computers, Environment and Urban Systems, 2022, v. 96, p. 101853 How to Cite?
DOI: http://dx.doi.org/10.1016/j.compenvurbsys.2022.101853
Persistent Identifierhttp://hdl.handle.net/10722/314628
ISI Accession Number ID
WOS:000840587600001

 

DC FieldValueLanguage
dc.contributor.authorFang, Z-
dc.contributor.authorQi, J-
dc.contributor.authorFan, L-
dc.contributor.authorHuang, J-
dc.contributor.authorJin, Y-
dc.contributor.authorYang, T-
dc.date.accessioned2022-07-22T05:28:12Z-
dc.date.available2022-07-22T05:28:12Z-
dc.date.issued2022-
dc.identifier.citationComputers, Environment and Urban Systems, 2022, v. 96, p. 101853-
dc.identifier.urihttp://hdl.handle.net/10722/314628-
dc.languageeng-
dc.relation.ispartofComputers, Environment and Urban Systems-
dc.titleA framework for human-computer interactive street network design based on a multi-stage deep learning approach-
dc.typeArticle-
dc.identifier.emailYang, T: tianren@hku.hk-
dc.identifier.authorityYang, T=rp02825-
dc.identifier.doi10.1016/j.compenvurbsys.2022.101853-
dc.identifier.hkuros334571-
dc.identifier.volume96-
dc.identifier.spage101853-
dc.identifier.epage101853-
dc.identifier.isiWOS:000840587600001-

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