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A Parking Space Allocation Method to Make a Shared Parking Strategy for Appertaining Parking Lots of Public Buildings

Author

Listed:
  • Yifei Cai

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Jun Chen

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Chu Zhang

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Bin Wang

    (Urban and Traffic Planning Design Institute, Shanghai Urban Construction Design and Research Institute Co., Ltd., Shanghai 200125, China)

Abstract

Appertaining parking lots of public buildings provide a large proportion of parking supply in cities. However, these parking lots mainly serve the parking demands of public buildings, leading to a low utilization ratio of parking spaces. It is therefore required to implement a shared parking strategy for these parking lots. In this study, a parking space allocation method (PSAM) at the network level is proposed to allocate the parking demand to a parking lot and then the parking space. The users are divided into M-users (users of the buildings) and P-users (public users). The shared parking strategy is analyzed from the aspects of open window, parking fee, and ratio of reservation spaces. The users are allocated to a parking lot by a multinomial logit(MNL) model. Specifically, it is determined whether they can enter parking lot and which space they are allocated according to the specific rules. After all the users are allocated with a parking space, the rejection number of M-users, occupancy rate, and profits of each parking lot are collected and a NSGA-II (non-dominated sorting genetic algorithm II) algorithm is designed to determine the optimal strategy for each parking lot according to the above. Compared with the results of all-time all-space shared parking strategy, our method shows better performance in balancing the interests of all appertaining parking lots and protecting the interests of M-users while obtaining considerable profits for the parking lots.

Suggested Citation

  • Yifei Cai & Jun Chen & Chu Zhang & Bin Wang, 2018. "A Parking Space Allocation Method to Make a Shared Parking Strategy for Appertaining Parking Lots of Public Buildings," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:120-:d:193376
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    References listed on IDEAS

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    Cited by:

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    2. Liang, Jyun-Kai & Eccarius, Timo & Lu, Chung-Cheng, 2019. "Investigating factors that affect the intention to use shared parking: A case study of Taipei City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 799-812.
    3. 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.
    4. Maowei Chen & Tingting Zhao & Jungwook Lee & Hyangsook Lee, 2023. "Developing a Decision-Making Process of Location Selection for Truck Public Parking Lots in Korea," Sustainability, MDPI, vol. 15(2), pages 1-13, January.
    5. Ardeshiri, Ali & Safarighouzhdi, Farshid & Hossein Rashidi, Taha, 2021. "Measuring willingness to pay for shared parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 186-202.

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