Optimizing Model of Curb Parking Pricing Based on Parking Choice Behavior

Curb parking is an indispensable part of urban public parking system. A reasonable curb parking pricing scheme makes contribution to improve the use efficiency of curb parking and to reduce traffic congestion. This paper analyzes the parking choice behavior from the micro-aspects, and the choice utility function is established to combine with the travel time, search time, waiting time, access time, and parking pricing. Through the utility function, the Probit-based parking choice behavior model is formulated. Based on that, the curb parking pricing model is proposed by considering the constrained conditions. Finally, the incremental assignment algorithm of the model is designed and the model is applied to the parking planning of Tonglin, China. The results show that the proposed model has practicality and reliability in the practical operation.

摘要路内停车是城市公共停车的重要组成部分, 合理的路内停车定价对于提高停车场使用效率, 缓解城市交通拥挤均有积极作用, 本文微观上分析车辆停放的选择过程, 结合车辆停放者的行程时间、停车场搜索时间、停车等待时间、出口时间和停车场自身费用建立当前停车场的选择效用函数, 通过效用函数建立了车辆停放者的概率选择模型, 通过考虑停车选择的约束条件, 在提高整个停车设施使用效率的前提下建立路内停车定价模型。结合容量加载方法进行求解, 并给出铜陵市路内停车定价优化模型的实例, 实例证明了模型和算法具有实用性和可靠性。