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A Rural Transport Implementation Index for Connected, Autonomous and Electric Vehicles

Walters, Joseph George; Marsh, Stuart; Rodrigues, Lucelia

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Authors

Joseph George Walters

STUART MARSH Stuart.Marsh@nottingham.ac.uk
Professor of Geospatial Engineering



Abstract

With connected, autonomous and electric vehicles (CAEV) developing rapidly, there is a need to better support their implementation into rural scenarios, where there are numerous transport challenges. The potential safety, efficiency and sustainability benefits of CAEVs could provide significant value for rural communities if implemented correctly. However, transport planner knowledge of CAEVs and their digital and physical infrastructure requirements in the UK is limited and, despite interest, there is little time or resources available to effectively explore rural CAEV implementation potential. This paper therefore describes the methodology behind, and development of, the CAEV Rural Transport Index (CARTI), based on existing literature and a combination of existing and developed indicators. The CARTI’s purpose is to identify the levels of need, capacity and overall potential of different rural areas to support rural CAEV implementation. Application of the CARTI to several case study areas reveals a range of benefits, reviewed through workshops with local transport professionals. Ultimately, the CARTI is identified as a much-needed tool to support the implementation of CAEVs in rural areas, with potential for further development to establish it as a successful and long-term planning tool.

Citation

Walters, J. G., Marsh, S., & Rodrigues, L. (2022). A Rural Transport Implementation Index for Connected, Autonomous and Electric Vehicles. Future Transportation, 2(3), 753-773. https://doi.org/10.3390/futuretransp2030042

Journal Article Type Article
Acceptance Date Sep 13, 2022
Online Publication Date Sep 16, 2022
Publication Date Sep 16, 2022
Deposit Date Sep 30, 2022
Publicly Available Date Sep 30, 2022
Journal Future Transportation
Print ISSN 2673-7590
Electronic ISSN 2673-7590
Publisher MDPI AG
Peer Reviewed Peer Reviewed
Volume 2
Issue 3
Pages 753-773
DOI https://doi.org/10.3390/futuretransp2030042
Keywords connected vehicles; autonomous vehicles; electric vehicles; index development; development indicators; transport planning; rural transport systems; planning; mobility; electrification
Public URL https://nottingham-repository.worktribe.com/output/11472674
Publisher URL https://www.mdpi.com/2673-7590/2/3/42

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