Print Email Facebook Twitter Automated vehicles and how they may affect urban form Title Automated vehicles and how they may affect urban form: A review of recent scenario studies Author Stead, D. (TU Delft Spatial Planning and Strategy) Vaddadi, Bhavana (KTH Royal Institute of Technology) Date 2019 Abstract Motorisation in cities has fundamentally transformed urban patterns of development, ranging from residential parking and density standards of single buildings on one hand to urban infrastructure construction and the expansion of entire cities on the other. The introduction of automated vehicles (AVs) has enormous potential to transform urbanisation patterns and urban design even further. However, the direction in which this technology will change the city is contested and a diverse set of views can be found. This paper provides a review of scenarios on these issues to date. Although some scenario studies provide useful insights about urban growth and change, very few consider detailed impacts of AVs on urban form, such as the density and mix of functions, the layout of urban development and the accessibility of locations, including the distance to transit. Subject Automated vehiclesUrban formUrban designLand useScenarios To reference this document use: http://resolver.tudelft.nl/uuid:d8700173-5da6-4412-a9a9-ed0b13ce46d1 DOI https://doi.org/10.1016/j.cities.2019.03.020 Embargo date 2019-10-02 ISSN 0264-2751 Source Cities: the international journal of urban policy and planning, 92, 125-133 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2019 D. Stead, Bhavana Vaddadi Files PDF 1_s2.0_S0264275118313945_main.pdf 1.87 MB Close viewer /islandora/object/uuid:d8700173-5da6-4412-a9a9-ed0b13ce46d1/datastream/OBJ/view