Multinomial logit model-based parking choice in a mall at city

When most individuals driving to the shopping mall choose the parking lot, they put attentions on not only the service levels of the parking lot but also their own personal preferences. Parking is essentially a choice behavior with preference information. The personal preferences consist of social attributes (e.g., gender, age, income, occupation), driving attributes (e.g., vehicle type, vehicle price, driving distance), and consuming attributes (e.g., consuming cost, frequency). On the basis of the survey about the choice behavior of drivers in the shopping mall, a multinomial logit model is utilized to analyze the preferences which has significant impacts on the choice behavior. The conclusion comes out that not only the social attributes but also his/her driving attributes and consuming ones have impact on the individual's parking choice. From the results, a personalized choice function is presented further for drivers to choose the fit parking lot.