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Research on parking sharing strategies considering user overtime parking

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Listed:
  • Xin Huang
  • Xueqin Long
  • Jianjun Wang
  • Lan He

Abstract

A parking sharing strategy is proposed to solve the problems of parking difficulty caused by the imbalance between parking spaces and parking demand. The vacant parking spaces of residential area can be efficiently utilized to meet the parking demands of those who are working at nearby or come for other activities based on the parking sharing strategy. The paper analyzes the distribution of vehicle arrival numbers and parking durations, then establishes a shared parking allocation model aiming to maximize the parking benefit considering the overtime-parking behavior of the parking users. Simulation methods are used to the analyze the relationship among the parking benefit, proportion of reserved parking, numbers of parking demand, acceptance rate of parking demand and utilization of shared parking spaces. Then, based on the principle of maximum parking benefit, we can determine the optimal proportion of reserved parking, number of shared parking spaces that should be purchased from the residents. Taking the utilization of shared parking spaces as an indicator, the validity of the static allocation principle is proved to be effective. Some allocation rules for parking demand are proposed to guarantees the maximum parking revenue and minimum impact on residents simultaneously.

Suggested Citation

  • Xin Huang & Xueqin Long & Jianjun Wang & Lan He, 2020. "Research on parking sharing strategies considering user overtime parking," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-22, June.
    • Handle: RePEc:plo:pone00:0233772
    DOI: 10.1371/journal.pone.0233772
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    References listed on IDEAS

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    1. Zou, Bo & Kafle, Nabin & Wolfson, Ouri & Lin, Jie (Jane), 2015. "A mechanism design based approach to solving parking slot assignment in the information era," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 631-653.
    2. Mei, Zhenyu & Feng, Chi & Ding, Wenchao & Zhang, Lihui & Wang, Dianhai, 2019. "Better lucky than rich? Comparative analysis of parking reservation and parking charge," Transport Policy, Elsevier, vol. 75(C), pages 47-56.
    3. Yang, Hai & Liu, Wei & Wang, Xiaolei & Zhang, Xiaoning, 2013. "On the morning commute problem with bottleneck congestion and parking space constraints," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 106-118.
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    Cited by:

    1. Lukáš Dvořáček & Martin Horák & Michaela Valentová & Jaroslav Knápek, 2020. "Optimization of Electric Vehicle Charging Points Based on Efficient Use of Chargers and Providing Private Charging Spaces," Energies, MDPI, vol. 13(24), pages 1-28, December.
    2. Yangbeibei Ji & Xueqing Lu & Hanwan Jiang & Xinyang Zhu & Jiao Wang, 2022. "Layout Optimization for Shared Parking Spaces Considering Shared Parking Walking Time and Parking Fee," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    3. Junxiao Ren & Xin Chang & Ying Hou & Bo Cao, 2023. "Probabilistic Hesitant Fuzzy Decision-Theoretic Rough Set Model and Its Application in Supervision of Shared Parking," Sustainability, MDPI, vol. 15(11), pages 1-16, May.

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