Traffic-land use compatibility and street design impacts of automated driving in Vienna, Austria
The potential rise of automated vehicles (AVs) may significantly impact future traffic volumes, in turn affecting urban street designs and adjacent land use. While integrated studies on potential traffic and land-use changes due to AVs largely concern issues of location choice and changing settlement patterns, assessments of how AVs may influence the quality of streets depending on the requirements of adjacent land use remain scarce. This paper presents an integrated assessment of the urban effect of AVs on traffic and neighborhoods in Vienna. It provides a methodology to assess whether changing traffic volumes are compatible with the land use of a given neighborhood to approximate street space requirements for shared automated shuttles and to visualize possible trajectories of spatial transformation by considering local development goals. The results show that the opportunities to convert street space and the risks of environmental harm due to AVs will vary across neighborhoods and street typologies. It is crucial for policymakers and planners to consider such contextual differences to gain better insight into the functional requirements and urban consequences of AVs. This assessment aims to shed light on the possible trade-offs of a system change in favor of AVs to help evaluate adequate operational conditions and inform proactive traffic and urban design policies to harness possible implications.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19387849
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Supplemental Notes:
- Copyright 2022 Emilia M. Bruck & Aggelos Soteropoulos.
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Authors:
- Bruck, Emilia M
- Soteropoulos, Aggelos
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: pp 137-163
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Serial:
- Journal of Transport and Land Use
- Volume: 15
- Issue Number: 1
- Publisher: University of Minnesota, Minneapolis
- ISSN: 1938-7849
- Serial URL: https://www.jtlu.org/index.php/jtlu
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Intelligent vehicles; Land use planning; Traffic volume; Urban design
- Geographic Terms: Vienna (Austria)
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01861911
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 20 2022 11:08AM