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

机译:转型到自动车,城市重新设计和城市可持续发展的未来

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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.
机译:由人工智能控制的自主汽车越来越多地融入城市的运输组合中,具有强烈的建筑环境的设计和可持续性。本文以三倍的方式阐明了城市过渡到自治运输。首先,我们在三个相互关联的因素的基础上推动了理论框架,以了解城市的自主汽车在城市的扩散:社会态度,技术创新和城市政治。其次,我们借鉴了都柏林(1,233名受访者)进行了深入的调查,提供了(a)对自治车的公共利益的经验证据,并用途一旦可用,(b)个人的恐惧和担忧对自治车辆和(c)人们如何打算雇用这种新的运输方式。第三,我们使用通过调查产生的经验证明作为踏脚石,讨论可能的城市期货,重点是城市设计和可持续性的变化,即转型到自治运输可能会触发。通过智慧和新自由主义城市主义的镜头来解释数据,我们描绘了一个复杂的城市地理,其特征是共享和私人自治车辆,人类驱动因素和人工智能重叠和竞争城市空间。

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