Abstract
This paper investigates an optimal parking pricing problem in a many-to-one (multiple origins to one destination) park-and-ride (P + R) network, taking into account practical parking space constraints. The proposed problem aims to minimize the total travel cost by setting optimal parking fees at P + R terminals. The problem is formulated as a bilevel programming model that comprises an upper-level problem of determining optimal parking fees and a lower-level problem of characterizing commuters’ travel equilibrium of departure time and path choices. For the lower-level problem, a user equilibrium model is developed to address the commuting patterns with and without parking space constraints in the many-to-one P + R network. In the commute equilibrium analysis, extra earlier departure times, defined by slack variables, are introduced to examine the conditions in which commuters need to compete for limited parking spots. Meanwhile, the parking spot ending time is used to describe how commuters from different origins compete with one another for the limited parking spots at the destination. Finally, numerical experiments show that the methods proposed in this study are effective in managing the P + R facilities.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Transportation Research Record: Journal of the Transportation Research Board
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.