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dc.contributor.advisorDuarte, Fabio
dc.contributor.authorWhang, Soojin
dc.date.accessioned2023-03-31T14:37:13Z
dc.date.available2023-03-31T14:37:13Z
dc.date.issued2023-02
dc.date.submitted2023-02-09T15:53:03.314Z
dc.identifier.urihttps://hdl.handle.net/1721.1/150168
dc.description.abstractThe mode of transportation has a significant impact on the design and layout of cities, and the advent of autonomous vehicles (AVs) is expected to bring another shift in transportation that will likely impact the way cities are designed. The initial adoption of AVs is likely to occur in the form of shared autonomous vehicles (SAVs) or driverless ride-hailing services. This thesis analyzes the impact of AVs on the housing market, examining it at both macro and micro levels. The macro level analysis examines the complementary impact of SAVs on public transportation systems and identifies the metropolitan areas that are most likely to experience significant changes as a result of the deployment of SAVs. The micro level analysis examines the demand side of specific housing price change in San Francisco, utilizing a historical rent gradient model, by considering changes in commute cost and time. Additionally, the supply side of the analysis explores the potential conversion of parking spaces into housing.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleThe Impact of Autonomous Vehicles on the Real Estate Housing Market in the United States
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Real Estate Development


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