Massachusetts Institute of Technology
Future transit service for a broader user base : demand analysis of hypothetical autonomous vehicle mobility services using a stated preference approach
Abstract
dc:description.abstractMobility services and autonomous vehicles (AVs) are predicted to be key revolutionary forces in the future of transportation. In particular, certain forms of the amalgamations of the two technologies not only are expected to offer cost reduction to service providers, but are thought to be available in the fairly near future. However, the introduction of such services, if not properly handled or responded to, could place stress on present-day public transportation and lead to adverse impact on the urban landscape. At a minimum, an AV-based service could be deployed as a standalone mode, such as AV ride-hailing, or integrated with other modes. We postulate that it could be both socially beneficial and appealing to consumers to combine the advantages of AV ride-hailing and public transportation in an integrated transit-oriented mobility service with AV feeders (referred to as AV+PT mode in this thesis).
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Urban Studies and Planning
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Li, Jintai,M.C.P.Massachusetts Institute of Technology.
- Advisor dc:contributor.advisor
-
- Jinhua Zhao, John P. Attanucci and Rabi G. Mishalani.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- MIT 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.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/123969
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/123969