The transition to autonomous cars, the redesign of cities and the future of urban sustainability

被引:90
作者
Cugurullo, Federico [1 ]
Acheampong, Ransford A. [2 ]
Gueriau, Maxime [3 ]
Dusparic, Ivana [3 ]
机构
[1] Trinity Coll Dublin, Dept Geog, Museum Bldg, Dublin, Ireland
[2] Univ Manchester, Dept Planning & Environm Management, Manchester, Lancs, England
[3] Trinity Coll Dublin, Sch Comp Sci, Dublin, Ireland
关键词
Autonomous cars; autonomous urban transport; urban sustainability; urban design; smart cities; urban politics; SMART CITIES; LAND-USE; VEHICLES; CITY; MOBILITY; TRANSPORT; POLITICS; ADOPTION; IMPACT; PERCEPTION;
D O I
10.1080/02723638.2020.1746096
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Autonomous cars controlled by an artificial intelligence are increasingly being integrated in the transport portfolio of cities, with strong repercussions for the design and sustainability of the built environment. This paper sheds light on the urban transition to autonomous transport, in a threefold manner. First, we advance a theoretical framework to understand the diffusion of autonomous cars in cities, on the basis of three interconnected factors: social attitudes, technological innovation and urban politics. Second, we draw upon an in-depth survey conducted in Dublin (1,233 respondents), to provide empirical evidence of (a) the public interest in autonomous cars and the intention to use them once available, (b) the fears and concerns that individuals have regarding autonomous vehicles and (c) how people intend to employ this new form of transport. Third, we use the empirics generated via the survey as a stepping stone to discuss possible urban futures, focusing on the changes in urban design and sustainability that the transition to autonomous transport is likely to trigger. Interpreting the data through the lens of smart and neoliberal urbanism, we picture a complex urban geography characterized by shared and private autonomous vehicles, human drivers and artificial intelligences overlapping and competing for urban spaces.
引用
收藏
页码:833 / 859
页数:27
相关论文
共 96 条
[1]   Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars [J].
Acheampong, Ransford A. ;
Cugurullo, Federico .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 :349-375
[2]   On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment [J].
Alonso-Mora, Javier ;
Samaranayake, Samitha ;
Wallar, Alex ;
Frazzoli, Emilio ;
Rus, Daniela .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (03) :462-467
[3]  
[Anonymous], 2018, Road traffic injuries www document
[4]  
[Anonymous], INSIDE SMART CITIES
[5]   The Moral Machine experiment [J].
Awad, Edmond ;
Dsouza, Sohan ;
Kim, Richard ;
Schulz, Jonathan ;
Henrich, Joseph ;
Shariff, Azim ;
Bonnefon, Jean-Francois ;
Rahwan, Iyad .
NATURE, 2018, 563 (7729) :59-+
[6]   Autonomous vehicles: challenges, opportunities, and future implications for transportation policies [J].
Bagloee, Saeed Asadi ;
Tavana, Madjid ;
Asadi, Mohsen ;
Oliver, Tracey .
JOURNAL OF MODERN TRANSPORTATION, 2016, 24 (04) :284-303
[7]   Forecasting Americans' long-term adoption of connected and autonomous vehicle technologies [J].
Bansal, Prateek ;
Kockelman, Kara M. .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2017, 95 :49-63
[8]   Artificial intelligence and smart cities [J].
Batty, Michael .
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2018, 45 (01) :3-6
[9]  
Benevolo L., 1993, THE EUROPEAN CITY
[10]   Autonomous automobilities: The social impacts of driverless vehicles [J].
Bissell, David ;
Birtchnell, Thomas ;
Elliott, Anthony ;
Hsu, Eric L. .
CURRENT SOCIOLOGY, 2020, 68 (01) :116-134