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Analysis on Stability of Roadside Parking System in a Rail-Integrated Transport Hub

Author

Listed:
  • Junheng Yang

    (School of Civil Engineering, Guangzhou University, Guangzhou 510006, China)

  • Xiaodong Zang

    (School of Civil Engineering, Guangzhou University, Guangzhou 510006, China)

  • Qiang Luo

    (School of Civil Engineering, Guangzhou University, Guangzhou 510006, China)

  • Liming Shao

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510006, China)

Abstract

Roadside parking systems plays an important role in the planning and design of parking spaces, parking management and operation, and ensuring the safety of passengers. Firstly, we proposed a traffic wave theory and an avoidance logic algorithm to analyze the interaction mechanism of the roadside parking system in a rail-integrated transport hub. Moreover, we researched the evaluation indexes of the stability of roadside parking systems via two new concepts, namely static roadside parking time and dynamic roadside parking time. We found these improved the algorithm of the time utilization rate of the berth. Secondly, the coupling relationship between parking rate, delay and time utilization of berth was also discussed, and mathematical models of stability of the curb parking system were established. Furthermore, the feasibility of models was verified by multi-agent simulation through the VISSIM simulation platform. Finally, a new rail-integrated transport hub was taken as a practical case and studied alongside the simulation of the stability of curb parking system. Our study concluded that the curb parking system was ultimate stable when the time utilization rate was 37.5% and the parking rate was 91.2%. The results of these studies will provide theoretical support for designing curb parking berths in rail-integrated transport hubs.

Suggested Citation

  • Junheng Yang & Xiaodong Zang & Qiang Luo & Liming Shao, 2021. "Analysis on Stability of Roadside Parking System in a Rail-Integrated Transport Hub," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4855-:d:543735
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    References listed on IDEAS

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    Cited by:

    1. Yang, Junheng & Zang, Xiaodong & Chen, Weiying & Luo, Qiang & Wang, Rui & Liu, Yuanqian, 2024. "Improved social force model based on pedestrian collision avoidance behavior in counterflow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).

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