Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies

Automated vehicles (AVs) could completely change mobility in the coming years and decades. As AVs are still under development and gathering empirical data for further analysis is not yet possible, existing studies mainly applied models and simulations to assess their impact. This paper provides a comprehensive review of modelling studies investigating the impacts of AVs on travel behaviour and land use. It shows that AVs are mostly found to increase vehicle miles travelled and reduce public transport and slow modes share. This particularly applies to private AVs, which are also leading to a more dispersed urban growth pattern. Shared automated vehicle fleets, conversely, could have positive impacts, including reducing the overall number of vehicles and parking spaces. Moreover, if it is assumed that automation would make the public transport system more efficient, AVs could lead to a favouring of urbanisation processes. However, results are very sensitive to model assumptions which are still very uncertain (e.g. the perception of time in AVs) and more research to gain further insight should have priority in future research as well as the development of the models and their further adaptation to AVs.

• Record URL:
  https://doi.org/10.1080/01441647.2018.1523253
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/7802200
• Supplemental Notes:
  • © 2018 Aggelos Soteropouloshe et al. Published by Informa UK Limited, trading as Taylor & Francis Group. Abstract republished with permission of Taylor & Francis.
• Authors:
  • Soteropoulos, Aggelos
  • Berger, Martin
  • Ciari, Francesco
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 29-49
• Serial:
  • Transport Reviews
  • Volume: 39
  • Issue Number: 1
  • Publisher: Routledge
  • ISSN: 0144-1647
  • EISSN: 1464-5327
  • Serial URL: http://www.tandfonline.com/loi/ttrv20

Subject/Index Terms

• TRT Terms: Impacts; Intelligent vehicles; Land use; Literature reviews; Modal split; Travel behavior; Vehicle miles of travel
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01687902
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 11 2018 9:21AM