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dc.contributor.authorHosseini, Maryam
dc.contributor.authorSevtsuk, Andres
dc.contributor.authorMiranda, Fabio
dc.contributor.authorCesar, Roberto M.
dc.contributor.authorSilva, Claudio T.
dc.date.accessioned2023-02-27T14:02:32Z
dc.date.available2023-02-27T14:02:32Z
dc.date.issued2023-04
dc.identifier.issn0198-9715
dc.identifier.urihttps://hdl.handle.net/1721.1/148221
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/j.compenvurbsys.2023.101950en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceProf. Sevtsuken_US
dc.subjectUrban Studiesen_US
dc.subjectGeneral Environmental Scienceen_US
dc.subjectEcological Modelingen_US
dc.subjectGeography, Planning and Developmenten_US
dc.titleMapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imageryen_US
dc.typeArticleen_US
dc.identifier.citationHosseini, Maryam, Sevtsuk, Andres, Miranda, Fabio, Cesar, Roberto M. and Silva, Claudio T. 2023. "Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery." Computers, Environment and Urban Systems, 101.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.relation.journalComputers, Environment and Urban Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2023-02-25T12:20:45Z
mit.journal.volume101en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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