Investigating the Usage of IoT-Based Smart Parking Services in the Borough of Westminster

Guochao Peng, Paul Clough, Andrew Madden, Fei Xing, Bingqian Zhang

OAI: oai:igi-global.com:274065 • DOI: 10.4018/JGIM.20211101.oa25

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.

Global Information Technology Computer Science and Information Technology IT Research and Theory