A parking pricing scheme considering parking dynamics

Fang Zong, Meng Zeng () and Ping Yu
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Fang Zong: Jilin University
Meng Zeng: Zhejiang Normal University
Ping Yu: CATARC Automotive Test Center (Tianjin) Co., Ltd. Xianfeng East Road

Transportation, 2024, vol. 51, issue 4, No 7, 1349-1371

Abstract: Abstract Powerful parking management approaches are vital in metropolitan areas where parking resource is limited and congestion is severe. To date, parking pricing is considered as an efficient tool for improving parking management by moderating parking demand. Hence, this paper proposes a parking charging method involving both the parking demand and supply. We aggregate the individual parking behaviors into the parking demand and consider the trade-offs between multiple parking behaviors. Then, a maximization problem is formulated to fulfill the benefits of parking demand as well as stabilizing parking supply. The results of case study indicate that the share of parking patterns has shifted positively, and an increment in the total benefit of respondents (5.00%) is obtained. Considering parking dynamics, the proposed method can serve as an effective and feasible manner to equilibrate spatial and temporal distribution of parking demand thereby alleviating parking pressure. This study also makes a methodological contribution to parking pricing policy design.

Keywords: Optimal pricing; Pattern choice; Parking management; Spatiotemporal demand distribution; Parking behavior (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11116-022-10370-0

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