The potential impacts of automated cars on urban transport: An exploratory analysis
Anthony D. May,
Simon Shepherd,
Paul Pfaffenbichler and
Günter Emberger
Transport Policy, 2020, vol. 98, issue C, 127-138
Abstract:
The concept of automated cars is rapidly becoming a reality. Yet there has been very little analysis of the impacts of such developments on the performance of urban transport systems. These impacts are potentially complex. On the positive side, automation has the potential to increase road capacity, make driving available to more people, and reduce accidents and emissions. On the negative side, it could attract users away from public transport, walking and cycling, substantially increase traffic levels and stimulate urban sprawl. These impacts cannot currently be measured empirically and, by the time that they can, it will be too late to change the implementation model to rectify any resulting problems. Predictive assessments are therefore needed. This paper considers the possible impacts of automated vehicles, predicts their effects on the urban land use and transport system, and discusses the policy implications. We focus on automation of the car fleet, and do not consider the potential of automation of public transport or freight.
Keywords: Autonomous vehicles; Urban transport; Modal choice; Land use (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:98:y:2020:i:c:p:127-138
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DOI: 10.1016/j.tranpol.2020.05.007
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