• Corpus ID: 244800800

Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intentions to Use Autonomous Vehicles (preprint)/ en

@inproceedings{Said2021AcceleratingTA,
  title={Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intentions to Use Autonomous Vehicles (preprint)/ en},
  author={Maher Said and Emma R. Zajdela and Amanda Stathopoulos},
  year={2021}
}
One of the most notable global transportation trends is the accelerated pace of development in vehicle automation technologies. Uncertainty surrounds the future of automated mobility as there is no clear consensus on potential adoption patterns, ownership versus shared use status and travel impacts. Adding to this uncertainty is the impact of the COVID-19 pandemic that has triggered profound changes in mobility behaviors as well as accelerated adoption of new technologies at an unprecedented… 

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SHOWING 1-10 OF 79 REFERENCES
Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?
Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes
TLDR
It is indicated that socio-economic inequality and morbidity are not only related to actual health risks, as well documented in the relevant literature, but also to the perceived risks of the COVID-19 pandemic.
The politics of new driving technologies: Political ideology and autonomous vehicle adoption
The Influence of the Covid-19 Pandemic on Mobility Patterns: The First Wave’s Results
ABSTRACT The present study focuses on the relationship between the Covid-19 pandemic and mobility patterns. By using data from an international survey, transport users’ socio-demographic features and
A systematic literature review of the factors influencing the adoption of autonomous driving
TLDR
Stakeholders will need to work on four areas to ensure successful mass adoption of AVs and decrease the chance of failure, which could be sorted into four readiness categories: technology (vehicle technology, safety and ethics), infrastructure, legal, legal and user acceptance and useraccept.
How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago
Modeling Individual Preferences for Ownership and Sharing of Autonomous Vehicle Technologies
Considerable interest exists in modeling and forecasting the effects of autonomous vehicles on travel behavior and transportation network performance. In an autonomous vehicle (AV) future,
Market Penetration Model for Autonomous Vehicles on the Basis of Earlier Technology Adoption Experience
This paper presents an effort to develop a market penetration model for autonomous vehicle (AV) technology adoption on the basis of similar technologies and previous trends in the United States.
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