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Better lucky than rich? Comparative analysis of parking reservation and parking charge

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  • Mei, Zhenyu
  • Feng, Chi
  • Ding, Wenchao
  • Zhang, Lihui
  • Wang, Dianhai

Abstract

The demand for parking spaces in city centers often exceeds the supply. The spatial distribution of such spaces is uneven, which leads to the overheating of hot parking lots. To balance existing conflicts, parking charge and reservation mechanisms are usually utilized to improve the overall efficiency of parking spaces. This study aims to analyze and compare the benefits of these instruments and provide operational suggestions for urban parking managers. To achieve this goal, we introduce an agent simulation system and construct a simulation framework of parking charge and reservation. Then, the average travel time and total parking space utilization time are combined as a comprehensive benefit with different weights, and the benefits of parking charge and reservation are analyzed and compared under the corresponding weight. Parking charge and reservation are considered comprehensively in a combined simulation example. Results show that parking charge and reservation can remarkably improve the comprehensive benefit, and parking charge can achieve the maximum comprehensive benefit when the fee is high. When the fee is low, such as less than 26 yuan/h, the reservation mechanism can achieve a good level of benefit. Thus, parking reservation in most cities in China is an effective means to manage popular parking lots when the parking fee is low and difficult to increase.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:trapol:v:75:y:2019:i:c:p:47-56
    DOI: 10.1016/j.tranpol.2019.01.001
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    References listed on IDEAS

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    Cited by:

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    4. Kadkhodaei, Masoud & Shad, Rouzbeh & Ziaee, Seyed Ali, 2022. "Affecting factors of double parking violations on urban trips," Transport Policy, Elsevier, vol. 120(C), pages 80-88.
    5. Zhenyu Mei & Liang Kong & Wenchao Zheng, 2020. "TOD Parking Demand Models for New Urban Areas in China," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    6. Jiang, Bowen & Fan, Zhi-Ping, 2020. "Optimal allocation of shared parking slots considering parking unpunctuality under a platform-based management approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    7. Lu, Xiao-Shan & Huang, Hai-Jun & Guo, Ren-Yong & Xiong, Fen, 2021. "Linear location-dependent parking fees and integrated daily commuting patterns with late arrival and early departure in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 293-322.
    8. Zhenyu Mei & Chi Feng & Liang Kong & Lihui Zhang & Jun Chen, 2020. "Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    9. Kadkhodaei, Masoud & Shad, Rouzbeh & Ziaee, Seyed Ali & Kadkhodaei, Mohsen, 2023. "Prediction model for drivers' tendency to perpetrate a double parking violation on urban trips," Transport Policy, Elsevier, vol. 141(C), pages 331-339.
    10. Najmi, Ali & Bostanara, Maryam & Gu, Ziyuan & Rashidi, Taha H., 2021. "On-street parking management and pricing policies: An evaluation from a system enhancement perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 128-151.

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