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dc.contributor.advisorAndrea Chegut.en_US
dc.contributor.authorPitcher, Paige(Paige Marie)en_US
dc.contributor.otherMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.date.accessioned2018-02-08T16:25:24Z
dc.date.available2018-02-08T16:25:24Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/113471en_US
dc.descriptionThesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2017en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 54-60).en_US
dc.description.abstractThe United States has a large supply of parking and with the adoption of autonomous vehicles, the demand for these spaces could change dramatically. Parking is among the most prevalent land uses occupying up to 31% of urban area. It is estimated that there are 3.4 to 8 parking spaces for each car in the US yielding 800 million to 2 billion spaces that could cover an area the size of West Virginia (Chester, Horvath, & Madanat, 2010). With fully autonomous vehicles expected on the consumer market by 2020, the $30 billion parking industry will experience enormous changes as cars evolve. This thesis models the effects of autonomous vehicles on the financial performance of urban parking garages. The future of parking and autonomous vehicles will be anything but smooth or certain, and this work harnesses the power of uncertainty through repeated random number simulation in financially modeling autonomous vehicles' impacts on parking garages. The results indicate that parking in the short term is a risky investment and in the longer term may not be a viable asset. As the only class of real estate explicitly built for vehicles, they have a high degree of exposure to changes created by autonomous vehicles. This is illustrated by significantly negative net present values and minimal returns of the simulation outputs. This exposure will continue to grow as the stock of parking spaces increases with minimum parking requirements for new construction. Recommendations from this research would be to limit new supply of parking to allow for greater utilization of existing stock, more beneficial use of urban land, and better use of construction and financial resources.en_US
dc.description.statementofresponsibilityby Paige Pitcher.en_US
dc.format.extent60 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCenter for Real Estate. Program in Real Estate Development.en_US
dc.titleHit the deck : impacts of autonomous vehicle technology on parking and commercial real estateen_US
dc.title.alternativeImpacts of autonomous vehicle technology on parking and commercial real estateen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Real Estate Developmenten_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Developmenten_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate
dc.identifier.oclc1019902699en_US
dc.description.collectionS.M.inRealEstateDevelopment Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estateen_US
dspace.imported2019-09-16T18:48:35Zen_US


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