Join us for Bo Wang’s presentation of his MASc thesis, hosted by UT-ITE. All are welcome.

Abstract

This study develops a stated preference survey, named iCity Park, as a parking simulation game to collect drivers’ on-street parking choices when legal and illegal parking spots are available, and parking enforcement is present.

The gamification incentive and simulated hypothetical scenarios in the survey are proven to be effective for high-quality data. iCity Park also simulates parking activities with and without ITS assistance.

This study develops three types of logit models for the two assistance levels. The estimated mixed logit models have the best goodness of fit and demonstrate the significance of respondents’ parking preference heterogeneity. Then models for the two assistance levels are compared, and the influential power of the explanatory variables are analyzed.

This thesis contributes to innovative data collection methods and provides a better understanding of parking choice
process and parking behavioural changes with the assistance of parking information systems.

The thesis is posted here.

Bo Wang is a MASc candidate, supervised by Professor Matthew J. Roorda.