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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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    5. 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.
    6. 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.
    7. Zipeng Zhang & Ning Zhang, 2021. "Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    8. Mei, Zhenyu & Que, Zuchen & Qiu, Hai & Zhu, Zheng & Cai, Zhengyi, 2023. "Optimizing the configuration of electric vehicle charging piles in public parking lots based on a multi-agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    9. Lu, Xiao-Shan & Guo, Ren-Yong & Huang, Hai-Jun & Xu, Xiaoming & Chen, Jiajia, 2021. "Equilibrium analysis of parking for integrated daily commuting," Research in Transportation Economics, Elsevier, vol. 90(C).
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