Curb Parking Progressive Charging Pricing Model of City Center

Abstract:

Users of curb and garage parking space in Shanghai City Center were taken as objectives, and parking choice behavior influence factors including parking mode attributes and users’ characteristics were analyzed. Then Multinomial Logit Model and Mixed Multinomial Logit Model were established to research reasonable structure of progressive charging of curb parking. The results show that parking fee, walking time and other factors play a key role in parking choice between curb and garage parking, and users show high heterogeneous about parking fee. The first hour parking fee is relatively elastic, while the parking fee is relatively inelastic since the second hour. Finally, according to the 85% occupancy of curb parking, combined with progressive charging policy of curb parking in Shanghai, a new fee structure of curb and garage parking is put forward to reduce the occupancy rate of curb parking and the number of curb parkers for long parking time duration.