Shared Automated Mobility: Early Exploration and Potential Impacts
Automated vehicles, if shared, have the potential to blur the lines between public and private transportation services. This chapter reviews possible future shared automated vehicle (SAV) business models and their potential impacts on travel behavior. By examining the impacts of non-automated shared mobility services like carsharing and ridesourcing, the authors foster a better understanding of how current shared mobility services affect user behavior. This serves as a starting point to explore the potential impact of SAV services. Several key studies covering the topic are discussed. Although the future of SAVs is uncertain, this chapter begins the dialogue around SAV business models that may develop, which are informed by current shared mobility services.
- Record URL:
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Corporate Authors:
University of California, Berkeley
Transportation Sustainability Research Center
109 McLaughlin Hall
Berkeley, CA United States 94720-1720 -
Authors:
- Stocker, Adam
- Shaheen, Susan
- Publication Date: 2017-6-1
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 17p
Subject/Index Terms
- TRT Terms: Business models; Economic impacts; Intelligent vehicles; Ridesourcing; Shared mobility; Social impacts; Travel behavior; Vehicle sharing
- Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01684355
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: BTRIS, TRIS
- Created Date: Oct 26 2018 10:36AM