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dc.contributor.advisorCharles H. Fine.en_US
dc.contributor.authorNaumov, Sergey A.en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2020-01-08T19:40:22Z
dc.date.available2020-01-08T19:40:22Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123383
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractAutomated vehicle (AV) and electric vehicle (EV) technologies are expected to substantially reduce the negative externalities of driving. Combined with ubiquitous ride-hailing platforms that facilitate ride-sharing (pooling), AVs promise to make automobile transportation faster, safer, cheaper, more convenient, and environmentally friendly. Yet the endogenous impacts of AVs on demand for driving are not well understood. My first paper explores the effect of AVs and pooling on the performance of both roads and public transit in a bimodal transportation system. I develop a dynamic model that describes how commuters choose between driving a car or riding public transit in response to the changing attractiveness of these modes in the presence of AVs and pooling.en_US
dc.description.abstractI show that the well-intentioned move to promote pooling may have the unintended consequences of leading to both worse public transit quality and more rather than less traffic congestion if the public transit downward spiral is triggered. In my second paper, I use conjoint analysis to estimate consumer preferences for the attributes of ride-hailing services. I show that because consumers have an inherent aversion to pooling, and prefer cheaper trips, consumer choice of pooling is likely to drop in the future if the cost of driving falls with the introduction of AVs as some predict. In my third paper, I study the role of the accelerated vehicle retirement programs ('cash-for-clunkers') in reducing transportation fleet emissions.en_US
dc.description.abstractI use a model of vehicle fleet turnover in the United States to show that achieving climate goals will likely require 'cash-for-clunkers' policies that incentivize the accelerated retirement of older, less-efficient vehicles to be replaced by electric vehicles, combined with a rapid transition to renewable electricity. I demonstrate that such policies can be an effective way to make the vehicle fleet less emission-intensive, but that the costs could be high. I show that combining 'cash-for-clunkers' with a gas tax or carbon price would help offset the costs incurred while also reducing driving demand, helping to achieve a low-emissions transition in time.en_US
dc.description.statementofresponsibilityby Sergey A. Naumov.en_US
dc.description.tableofcontentsUnintended Consequences of Automated Vehicles and Pooling for Urban Transportation Systems -- Hailing Rides Using On-Demand Mobility Platforms: What Motivates Consumers to Choose Pooling? -- Accelerating Vehicle Fleet Turnover to Achieve Climate Policy Goals.en_US
dc.format.extentpagesen_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.subjectSloan School of Management.en_US
dc.titleEssays on automated vehicles and the future of mobilityen_US
dc.title.alternativeEssays on AVs and the future of mobilityen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.identifier.oclc1132264664en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Sloan School of Managementen_US
dspace.imported2020-01-08T19:40:22Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentSloanen_US


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