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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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    1. Kobus, Martijn B.W. & Gutiérrez-i-Puigarnau, Eva & Rietveld, Piet & Van Ommeren, Jos N., 2013. "The on-street parking premium and car drivers' choice between street and garage parking," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 395-403.
    2. Arnott, Richard, 2014. "On the optimal target curbside parking occupancy rate," Economics of Transportation, Elsevier, vol. 3(2), pages 133-144.
    3. Zheng, Nan & Geroliminis, Nikolas, 2016. "Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 36-58.
    4. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    5. Luo, Qiang & Yuan, Jie & Chen, Xinqiang & Wu, Shubo & Qu, Zhijian & Tang, Jinjun, 2019. "Analyzing start-up time headway distribution characteristics at signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    6. Cao, Jin & Menendez, Monica, 2018. "Quantification of potential cruising time savings through intelligent parking services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 151-165.
    7. Miloš Poliak & Adela Poliaková & Kristián Čulík, 2020. "Impact of the Social Law on Truck Parking Sustainability in the EU," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    8. Boyles, Stephen D. & Tang, Shoupeng & Unnikrishnan, Avinash, 2015. "Parking search equilibrium on a network," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 390-409.
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