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Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices

  • Published:2020-01 Issue: Volume:150 Page:119792
  • ISSN:0040-1625
  • Container-title:Technological Forecasting and Social Change
  • language:en
  • Short-container-title:Technological Forecasting and Social Change

Author:

Gurumurthy Krishna Murthy,Kockelman Kara M.

Funder

Texas Department of Transportation

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference42 articles.

1. Autonomous Vehicles, Trust, and Driving Alternatives: A Survey of Consumer Preferences;Abraham,2016

2. Dynamic ride-sharing: a simulation study in metro Atlanta;Agatz;Proc. Soc. Behav. Sci.,2011

3. Driving Costs Hit Six-Year Low,2016

4. Forecasting Americans' long-term adoption of connected and autonomous vehicle technologies;Bansal;Trans. Res. Part A,2017

5. Are we ready to embrace connected & self-driving vehicles? A case study of texans;Bansal;Transportation,2018

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1. Shared Autonomous Vehicle Modeling Considering System Optimization and Simulation;Journal of Transportation Engineering, Part A: Systems;2024-04

2. How effective is automated vehicle education? – A Kentucky case study revealing the dynamic nature of education effectiveness;Transport Policy;2024-03

3. Customer Choice of Different Types of Non-Autonomous and Autonomous Transportation Network Company Services in the San Francisco Bay Area;Transportation Research Record: Journal of the Transportation Research Board;2024-01-31

4. Exploration of Factors That Influence Willingness to Consider Pooled Rideshare;Transportation Research Record: Journal of the Transportation Research Board;2024-01-04

5. Users’ Transport Mode Choices in the Autonomous Vehicle Age in Urban Areas;Journal of Transportation Engineering, Part A: Systems;2024-01
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