Harrison, G orcid.org/0000-0002-4324-772X, Shepherd, SP and Chen, H (2021) Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies. International Journal of System Dynamics Applications, 10 (2). pp. 88-106. ISSN 2160-9772
Abstract
Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021. This article, published as an Open Access article on February 19th, 2021 in the gold Open Access journal, the International Journal of System Dynamics Applications(converted to gold Open Access January 1st, 2021), is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited. |
Keywords: | Connected and Automated Vehicles, Internet of Things, System Dynamics Modelling, Uptake Sensitivities |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Sustainable Transport Policy (Leeds) |
Funding Information: | Funder Grant number EU - European Union 731993 |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Mar 2021 11:36 |
Last Modified: | 04 Mar 2021 11:36 |
Status: | Published |
Publisher: | IGI Global |
Identification Number: | 10.4018/ijsda.2021040106 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171706 |
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