Planning the driverless city

Legacy, C, Ashmore, D, Scheurer, J, Stone, J and Curtis, C 2019, 'Planning the driverless city', Transport Reviews, vol. 39, no. 1, pp. 84-102.


Document type: Journal Article
Collection: Journal Articles

Title Planning the driverless city
Author(s) Legacy, C
Ashmore, D
Scheurer, J
Stone, J
Curtis, C
Year 2019
Journal name Transport Reviews
Volume number 39
Issue number 1
Start page 84
End page 102
Total pages 19
Publisher Routledge
Abstract AV technologies have the potential to transform urban landscapes and existing transport systems and networks. Yet, the utopian imaginary of reduced automobile ownership and a new shared economic future sits in tension with suggestions that car dependency, urban sprawl and transport inaccessibility will be exacerbated. The issues are situated in a complex governance landscape involving an influential private sector who are increasingly setting the agenda. The public sector may be forced into reacting to the new innovations by information technology and automobile companies as they are introduced into existing built environments. Drawing on an extensive literature base and interviews with public sector planners, this paper reveals the conceptual gaps in the framing of AV technology-the prospects and limits-and how these are conceived. The paper raises questions about the role urban planning can play in the rollout of AVs in order to anticipate and mediate unwanted built environment and socio-spatial impacts, as well as reconciling the ambition of transport innovation with the public purpose of planning.
Subject Transport Planning
Keyword(s) Autonomous vehicles
disruption
governance
planning
urban
DOI - identifier 10.1080/01441647.2018.1466835
Copyright notice © 2018 Informa UK Limited, trading as Taylor & Francis Group.
ISSN 0144-1647
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 34 Abstract Views  -  Detailed Statistics
Created: Thu, 21 Feb 2019, 12:10:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us