Designing a Time Limited–Parking Management Plan for Large-Scale Parking Lots
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 7
Abstract
The time limited–parking management plan has been widely adopted in curbside parking and in terminal parking. This plan separates parking spaces into several parking groups and manages each group with a specific duration limit. By doing so, the turnover rates and the availability of convenient parking resources are increased. In this paper, a bilevel programming model is proposed for designing a time limited–parking management plan. The proposed model is to figure out the optimal duration limit for each parking group and the number of spaces in each group, by minimizing travelers’ average walking time. A solving procedure based on a genetic algorithm is presented to estimate appropriate results. To test the effectiveness of the proposed model, a case study is designed based on the transaction data and parking configuration at the Shanghai Hongqiao P7 parking garage. The estimated result reveals that the designed time-limited plans lead to more than a 25% decrease in the average walking cost by better utilizing convenient parking spaces.
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Acknowledgments
This work was supported by a research grant (71371143) from the National Natural Science Foundation of China (NSFC) and a research grant (16DZ20702) from the Shanghai Science and Technology Committee. It was also partly supported by the international exchange program for graduate students, Tongji University (No. 201502011), and Fundamental Research Funds for the Central Universities. The work of the last two authors was supported by the Program for Changjiang Scholars and Innovative Research Team in University. The authors take sole responsibility for all views and opinions expressed in this paper. The authors also thank Xin Fan from the Shanghai Hongqiao International Airport for providing the data for the case studies.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 144 • Issue 7 • July 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: May 11, 2017
Accepted: Jan 5, 2018
Published online: Apr 20, 2018
Published in print: Jul 1, 2018
Discussion open until: Sep 20, 2018
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