Journal ArticleDOI
Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas
TLDR
In this article, the authors investigate the potential of shared autonomous vehicles (SAVs) for U.S. urban areas via multiple applications across the Austin, Texas, network and show that a private fleet operator paying $70,000 per new SAV could earn a 19% annual (long-term) return on investment while offering SAV services at $1.00 per mile for a non-shared trip.Citations
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Journal ArticleDOI
Policy and society related implications of automated driving: A review of literature and directions for future research
TL;DR: The review shows that first-order impacts on road capacity, fuel efficiency, emissions, and accidents risk are expected to be beneficial and the balance between the short-term benefits and long-term impacts of vehicle automation remains an open question.
Book
Transportation network analysis
Michael G.H. Bell,恭敬 飯田 +1 more
TL;DR: This book presents a coherent approach to the analysis of transportation networks based on the concept of network equilibrium and the application of convex programming methods, and indicates promising areas for further research.
Journal ArticleDOI
Marketing in the Sharing Economy
Giana M. Eckhardt,Mark B. Houston,Baojun Jiang,Cait Lamberton,Aric Rindfleisch,Georgios Zervas +5 more
TL;DR: The last decade has seen the emergence of the sharing economy as well as the rise of a diverse array of research on this topic both inside and outside the marketing discipline as discussed by the authors, however, the sharing...
Journal ArticleDOI
Shared autonomous vehicle services: A comprehensive review
TL;DR: In this article, a comprehensive review of the foreseen impacts of shared autonomous vehicle (SAV) applications is presented, which are categorised into seven groups, namely (i) Traffic & Safety, (ii) Travel behaviour, (iii) Economy, (iv) Transport supply, (v) Land use, (vi) Environment & (vii) Governance).
Journal ArticleDOI
Do transportation network companies decrease or increase congestion
TL;DR: This research examines whether transportation network companies, such as Uber and Lyft, live up to their stated vision of reducing congestion in major cities, finding that contrary to their vision, TNCs are the biggest contributor to growing traffic congestion in San Francisco.
References
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Journal ArticleDOI
The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
TL;DR: In this article, the authors describe the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use.
Journal ArticleDOI
Cruising for parking
TL;DR: In this article, the authors present a model of how drivers choose whether to cruise or to pay, and it predicts several results: drivers are more likely to cruise if curb parking is cheap, off-street parking is expensive, fuel is cheap and they want to park for a long time, and they place a low value on saving time.
Book
Transportation network analysis
Michael G.H. Bell,恭敬 飯田 +1 more
TL;DR: This book presents a coherent approach to the analysis of transportation networks based on the concept of network equilibrium and the application of convex programming methods, and indicates promising areas for further research.
Transportation network analysis
TL;DR: In this article, the authors present a coherent approach to the analysis of transportation networks based on the concept of network equilibrium and the application of convex programming methods, and provide an introduction to the terminology used in the book.
Journal ArticleDOI
Dynamic Ride-Sharing: a Simulation Study in Metro Atlanta
TL;DR: In this article, the problem of matching drivers and riders in a dynamic setting is considered, and optimization-based approaches are developed to minimize the total systemwide vehicle miles incurred by system users, and their individual travel costs.