Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
