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Reimagining Streets through the Autonomous Car

dc.contributor.authorChambard, Agustin Andresen
dc.contributor.committeechairKelsch, Paul J.en
dc.contributor.committeememberArcher, Scott Brandonen
dc.contributor.committeememberEmmons, Paul F.en
dc.contributor.departmentArchitectureen
dc.date.accessioned2023-07-14T08:00:15Zen
dc.date.available2023-07-14T08:00:15Zen
dc.date.issued2023-07-13en
dc.description.abstractThe widespread adoption of autonomous cars has the potential to revolutionize urban transportation, but what impact will it have on urban form? This thesis examines the hypothesis that adopting autonomous cars can transform street space into a more human-centric purpose, leading to more livable and sustainable cities. The research was conducted through a literature review, analysis of case studies, and the development of specific street designs in order to reveal possible scenarios. The literature review suggests that adopting autonomous cars can reduce the need for parking and increase the efficiency of transportation. Furthermore, the rise of shared cars is expected to revolutionize the way people move. With the advent of autonomous cars, it is possible that personal cars will become less necessary as people can rely on these constant-moving vehicles for transportation. These changes will impact our cities creating new opportunities to improve the urban space. The thesis explores these challenges and opportunities through design for the actual urban environment of Washington D.C. As the capital of the United States, the country where cars have significantly shaped its cities, it is also home to influential political and policy-makers. As a result, the city offers a good opportunity to rethink the future urban environment when this technology will be widely adopted. The findings of this thesis suggest that the adoption of autonomous cars has the potential to transform urban form reclaiming street space for people, but also requires careful planning and design to ensure that the benefits are distributed equitably and the negative impacts are minimized. The thesis concludes with four street proposals, each performing a different role in the city and the results provoke a reflection of the role of the street in our cities.en
dc.description.abstractgeneralThe widespread use of self-driving cars can transform our lives in cities. This new technology could lead to a more human-centered urban environment, where streets are designed for people rather than cars. The use of self-driving cars could also reduce the need for parking and improve the efficiency of transportation. However, this transformation requires careful planning and design to ensure that the benefits are distributed fairly and that negative impacts are minimized. A recent study looked at the potential impact of self-driving cars in Washington D.C., and suggests that the adoption of this technology could transform urban form and make cities more livable and sustainable. The study concludes with several street design proposals that could help shape the future of our cities. The findings of this thesis suggest that the adoption of autonomous cars has the potential to transform urban form reclaiming street space for people, it concludes with street proposals, each performing a different role in the city.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:38024en
dc.identifier.urihttp://hdl.handle.net/10919/115773en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectautonomous carsen
dc.subjecturban formen
dc.subjectlivable citiesen
dc.subjectsustainable citiesen
dc.subjectshared carsen
dc.subjecttransportationen
dc.subjectparkingen
dc.subjecturban spaceen
dc.subjectstreet designen
dc.subjectWashington D.C.en
dc.titleReimagining Streets through the Autonomous Caren
dc.typeThesisen
thesis.degree.disciplineArchitectureen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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