Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network

被引：0

作者：

Wang, Pengfei ^{[1
,2
]}

Guan, Hongzhi ^{[1
]}

Liu, Peng ^{[3
]}

机构：

[1] Beijing Key Laboratory of Transportation Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing,100124, China

[2] College of Urban Construction, Hebei Normal University of Science and Technology, 360 Western Section of Hebei Avenue, Haigang District, Qinhuangdao,Hebei,066004, China

[3] Department of Industrial Systems Engineering and Management, National University of Singapore, Engineering Drive 2, 117576, Singapore

来源：

Transportation Research Part B: Methodological | 2020年 / 137卷

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摘要：

This paper models and solves the optimal allocation-pricing of reservable parking resources and the pricing of unreservable parking resources, respectively. For reservable parking facility, a MP-DGS (modified proxy Demange-Gale-Sotomayor) mechanism and combinatorial system (integration of direct and evolutionary methods) are adopted to maximize the social surplus through optimizing the allocation-pricing of parking permits. As a result, it is found that: (i) the proposed approaches not only simplify the users’ bidding procedures but also ensure the users express their preference truthfully even under the situation of non-optimal parking permits allocation; (ii) in homogeneous case (parking periods for all users are the same), it is theoretically demonstrated that the MP-DGS mechanism is more efficient than the traditional mechanisms in the worst-case scenario; (iii) in heterogeneous case (users are heterogeneous in desired parking timing and duration), time-dependent parking permits are taken into account. The ranking of the algorithm time complexity in the worst-case scenario is that direct method = evolutionary method © 2019 Elsevier Ltd

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页码：74 / 98