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Publication type: Conference paper
Type of review: Peer review (publication)
Title: The fear of urban sprawl through autonomous vehicles in commuting : a segmentation analysis of the Swiss population
Authors: Hoerler, Raphael
Trachsel, Thomas
Del Duce, Andrea
et. al: No
DOI: 10.1109/FISTS46898.2020.9264842
Proceedings: 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS)
Page(s): 64
Pages to: 69
Conference details: Forum on Integrated and Sustainable Transportation Systems (FISTS), Delft, Netherlands, Online, 3-5 November 2020
Issue Date: 24-Nov-2020
Publisher / Ed. Institution: IEEE
ISBN: 978-1-7281-9503-2
Language: English
Subjects: Autonomous driving; Urban sprawl; Segmentation
Subject (DDC): 303: Social processes
629: Aeronautical, automotive engineering
Abstract: Autonomous vehicles are believed to change the way we will perceive travel time as the car would no longer be driven by a person, enabling other activities to be performed during the time normally used for controlling the vehicle. Especially for private car commuting, scholars suggest that the value of travel time would decrease substantially due to the possibility to work during the car ride. Travel distance might increase in return, as time used during commuting will not be perceived as time lost. This could lead to the preference of living in rural areas, where land prices and rents are typically lower, and, ultimately, to urban sprawl. By looking at the jobs and mobility characteristics of the Swiss population, we argue that only a small percentage of the total population would actually benefit from active use of travel time during commuting, taking away the fear of urban sprawl through automated vehicles.
Further description: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Appears in collections:Publikationen School of Engineering

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