Planning policies for the driverless city using backcasting and the participatory Q-Methodology

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2023-11
Major/Subject
Mcode
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Language
en
Pages
Series
Cities, Volume 142
Abstract
Autonomous vehicles (AVs) can potentially bring about major changes in cities. Anticipatory planning approaches may provide valuable opportunities for fostering desirable transitions and pre-empting undesirable impacts. This research employs a combination of two methods to define the key policies to support a transition to the desirable driverless urban futures: the backcasting approach and the participatory Q-method. The combination of these techniques aims to identify different viewpoints about policies with the purpose of determining more effective and more acceptable options. The article analyses viewpoints from 20 citizens and 10 experts. The results point to the existence of two main viewpoints about the most and least desirable policies. The first viewpoint centres around increasing pedestrian mobility and promoting a more compact city. The second viewpoint centres around expanding transit-oriented development (TOD) and new networks of green spaces. Meanwhile, support for regulation-oriented policies to discourage the use of private motorised vehicles was relatively low. This research not only sheds light on the different viewpoints on the policies to achieve more desirable urban visions, it also illustrates the tensions and disagreements that may arise in the process of policy-making.
Description
Funding Information: This work is based on the research projects: “InnovAtive Urban and Transport planning tOols for the implementation of New mObility systeMs based On aUtonomouS driving” – AUTONOMOUS (2020-2023) ( PID2019-110355RB-I00 ) and “Planning and design recommendations to guide new Autonomous Vehicles in Cities” – AV-Cities (2023-2026) ( PID2022-140649OB-I00 ) funded by the Spanish Ministry of Science and Innovation (MICINN) / ERDF (EU) under the National Plans for Scientific and Technical Research and Innovation 2017-2020 and 2021-2023 respectively. Publisher Copyright: © 2023
Keywords
Autonomous vehicles, Backcasting, Policy packaging, Q-method, Urban planning
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Citation
Nogués , S , González-González , E , Stead , D & Cordera , R 2023 , ' Planning policies for the driverless city using backcasting and the participatory Q-Methodology ' , Cities , vol. 142 , 104535 . https://doi.org/10.1016/j.cities.2023.104535