Parking Permit Management of Morning Commuting Considering Carpooling with Parking Restraint
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7
Abstract
This study investigates the efficiency of parking permits in managing morning commuting considering carpooling with parking restraint. First, the morning commuting problem was revisited with and without parking restraint using bimode and multimode one-to-one networks. Parking ending time and its inverse function were formulated through analysis of morning commuting in a multimode single origin–destination (OD) pair. Second, the traffic pattern with two parking permit management policies was also evaluated. Third, the traffic pattern in a many-to-one network with carpooling behavior was investigated, and a method to compute equilibrium with parking restraint was proposed. Fourth, schemes of optimal parking permit allocation and tradable parking permits were applied to diminish the externality caused by competition. Finally, examples have been discussed, revealing the effectiveness of the policies of parking permit management in reducing the system cost by eliminating competition. In addition, the system cost in the scheme of parking permit distribution was greater than that in the scheme of tradable parking permits. This is because the scheme of tradable parking permits encourages more commuters to choose to carpool than does the policy of parking permit distribution.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This study was substantially supported by grants from the National Natural Science Foundation Council of China (Grant No. 71601142), the Natural Science Foundation of Shandong Province (Grant No. ZR2018PG002), and the Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University (Grant No. K201902).
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©2020 American Society of Civil Engineers.
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Received: Jul 25, 2019
Accepted: Jan 2, 2020
Published online: Apr 27, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 27, 2020
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