Analysis of the Effect of Demand-Driven Dynamic Parking Pricing on on-Street Parking Demand

The rapid increase in the number of cars has caused many problems such as “cruising for parking” and “parking illegally”. Demand-driven dynamic parking pricing mechanism is an effective method to dynamically regulate demand, thus reducing problems. In this research, we conducted a large on-street surveys business districts Beijing. A location choice model decision rules cruising process were established. multi-agent based simulation was constructed explore effect time-varying price on demand. It concluded that demand-driven can effectively distribution demand make utilization facilities into desirable range districts. Lower higher change adjustment cause larger fluctuations less time intervals within more times. Higher bring longer driving lower speed. Considering effectiveness operating costs schemes, it recommended suitable rang occupancy rate 60%~80% 2 Yuan/hour. threshold be set according scale regional road network. proposed strategy balance then reduce traffic research conclusions also give references formulation strategies.