Automated vehicles and the city of tomorrow

A backcasting approach

Journal Article (2019)
Author(s)

M.E. González-González (University of Cantabria)

Soledad Nogués (University of Cantabria)

D Stead (TU Delft - Spatial Planning and Strategy)

Research Group
Spatial Planning and Strategy
Copyright
© 2019 M.E. Gonzalez-Gonzalez, Soledad Nogués, D. Stead
DOI related publication
https://doi.org/10.1016/j.cities.2019.05.034
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 M.E. Gonzalez-Gonzalez, Soledad Nogués, D. Stead
Research Group
Spatial Planning and Strategy
Volume number
94
Pages (from-to)
153-160
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The introduction of Autonomous Vehicles (AVs) into cities may fundamentally transform the design and use of cities. On one hand, AVs offer the potential to reduce the urban space requirements for roads and parking, creating more space for high-quality, liveable areas. On the other hand, greater motorisation and the availability to perform leisure or work activities while travelling in AVs could increase the number of trips and travel distances, encouraging urban traffic congestion and sprawl. These diverse, and sometimes conflicting, estimates and opinions give rise to considerable uncertainty among urban policy decision-makers, sometimes leading to planning inaction. This paper aims to shed light on the opportunities that AVs offer in delivering attractive, healthy and sustainable urbanisation patterns. This paper employs a backcasting approach to investigate whether and how the potential impacts of AV implementation can support or threaten a range of urban development policy goals. This approach enables conflicts between policy goals to be identified. The findings point to the need for mixed-use development policy, the clustering of urban facilities and services, the restriction of motorized access in cities and the adoption of shared high-quality multimodal transport.

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