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dc.contributor.authorGuan, Jinping
dc.contributor.authorZhang, Shuang
dc.contributor.authorD’Ambrosio, Lisa A.
dc.contributor.authorZhang, Kai
dc.contributor.authorCoughlin, Joseph F.
dc.date.accessioned2022-01-20T15:41:48Z
dc.date.available2021-10-27T18:36:06Z
dc.date.available2022-01-20T15:41:48Z
dc.date.issued2021-07
dc.date.submitted2021-06
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/1721.1/133206.2
dc.description.abstractAutonomous vehicles (AVs) may significantly impact people’s choice of residential locations and spatial structures. The impact may vary across different countries, but few studies have focused on it. This study drew on China and the United States (US) as two cases to study car drivers’ knowledge of AVs and willingness to move farther if AVs were available by estimating ordered logistic regression models. The results showed that 42.3% of Chinese and 29.8% of US respondents were likely to consider moving farther away from the nearest city or the destination for the most frequent trip if they had an AV. The Chinese sample had less knowledge of AVs than the US sample, but they were more likely to consider a move. AVs may lead to a new round of urban sprawl, but the challenge may be greater for China. We captured the socio-economic and transport factors that affected this result.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/su13147632en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titlePotential Impacts of Autonomous Vehicles on Urban Sprawl: A Comparison of Chinese and US Car-Oriented Adultsen_US
dc.typeArticleen_US
dc.identifier.citationSustainability 13 (14): 7632 (2021)en_US
dc.contributor.departmentAgeLab (Massachusetts Institute of Technology)
dc.contributor.departmentMassachusetts Institute of Technology. Intelligent Transportation Systems Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.relation.journalSustainabilityen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-07-08T14:22:21Z
dspace.date.submission2021-07-08T14:22:21Z
mit.journal.volume13en_US
mit.journal.issue14en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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