Peng, G., Clough, P.D., Madden, A. orcid.org/0000-0003-2305-7790 et al. (2 more authors) (2021) Investigating the usage of IoT-based smart parking services in the Borough of Westminster. Journal of Global Information Management, 29 (6). 25. ISSN 1062-7375
Abstract
Smart Parking schemes cannot succeed without the engagement and support of the drivers who may benefit from their use. This study investigates engagement with a Smart Parking service in the London Borough of Westminster. Factors likely to influence the use of Smart Parking services were identified from a literature review and incorporated into an explanatory model comprising 9 factors connected by 16 hypotheses. To test the model, residents of Westminster and visitors to the area were surveyed, resulting in a total of 212 valid responses. The responses were used to test a structural equation model, using confirmatory factor analysis. The results of the analysis indicated that Awareness of the scheme; Perceived Ease of Use; Perceived Usefulness; Cost saving; Perceived Privacy and Perceived Security all had a direct impact on Usage, with Awareness being the most influential factor. The results also highlighted the fact that, despite efforts by Westminster Council to publicise the scheme, 74% of respondents had little awareness of it, suggesting the need for improved publicity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. This article published as an Open Access article 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: | Internet of Things; Smart City; Smart Parking; Usage; User Perception |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Sep 2021 08:30 |
Last Modified: | 03 Sep 2021 01:25 |
Status: | Published |
Publisher: | IGI Global |
Refereed: | Yes |
Identification Number: | 10.4018/jgim.20211101.oa25 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177666 |