Abstract：A parking space choice model based on personal preferences was developed for large parking lots to analyze the utility of parking spaces in shopping mall parking lots. The driver's behaviorial characteristics when parking are analyzed based on personal preferences which are assigned into three groups (inherence, skill and affordability) using a multinomial Logit model to analyze the impacts of the preferences on parking choices. A parking choice utility model with multiple variants based on personal preferences was then used to study driver behavior in the parking lot of the Beijing IKEA store. The results show that skill preferences have the most significant impact on the parking space choice. This model can accurately evaluate driver behavior when choosing the parking spaces.
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