Optimization of Car-Parking Guidance Signs for Areas with Urban Transport Hubs

The accelerating pace of urban development has given birth to the large-scale transportation pivot, in which abundant traffic is abstracted and congregated. Drivers often have difficulty obtaining reader-friendly available car-parking place information in this area, inversely been confused with complicated layout of car-park and having trouble finding their correct car-parking place when they returned. This paper describes a choice behavioral model based on principal components analysis to survey data. The model was used to determine the demand intensity of different car-parking guidance information, which influences design of the car-parking guidance system. A triple-level sign system was developed for indoor car-parking guidance aims. The procedures were applied to the car-parking guidance system of Hongqiao comprehensive transport hub in Shanghai.