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.
Highlights
Despite its many advantages, continuous urbanisation has brought a wide range of problems, many of which are associated with rapid growth in car use
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
Cost Saving (β=0.460, p
Summary
Continuous urbanisation has brought a wide range of problems, many of which are associated with rapid growth in car use. According to the Texas A&M Transportation Institute for example, in 2011 people living in US cities endured 5.5 billion hours of traffic delay, resulting in the use of an additional 2.9 billion gallons of fuel costing approximately $121 billion and causing the emission of 56 billion lbs of CO2 (Schrank et al, 2012). These figures are approximately five times higher than corresponding statistics from 1982. Users of public transport are subject to the delays caused by traffic jams; and cyclists, pedestrians and residents are all affected by noise and pollution (Department for Business, Innovation and Skills, 2013)
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