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Research on Traffic Congestion Based on System Dynamics: The Case of Chongqing, China

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  • Yingsheng Su
  • Xin Liu
  • Xuejun Li

Abstract

With the rapid development of society, urban traffic congestion has gradually become an important social problem that many cities need to solve. For Chongqing, traffic congestion not only affects residents’ normal travel but also brings more serious environmental pollution. Aiming at the problem of urban traffic congestion and automobile exhaust pollution, this paper adopts the system dynamics method to establish a model for studying urban traffic congestion system from the perspectives of private cars, trucks, and public transportation. First, we determine city motor vehicle trips as an indicator of the degree of traffic congestion in this paper. Second, we analyze the causal relationship between the growth of private cars, the travel of trucks, public transportation, population, and other factors and then build a model and test the stability of the model. Then, we add some practical policies to the model for policy analysis. Finally, it is concluded that the private car restriction policy is effective in controlling the amount of private car travel, and the purchase restriction policy controls the growth of the number of private cars from the root cause, but the development of public transportation is the most effective treatment measure in the long run.

Suggested Citation

  • Yingsheng Su & Xin Liu & Xuejun Li, 2020. "Research on Traffic Congestion Based on System Dynamics: The Case of Chongqing, China," Complexity, Hindawi, vol. 2020, pages 1-13, March.
  • Handle: RePEc:hin:complx:6123896
    DOI: 10.1155/2020/6123896
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    Cited by:

    1. Krystian Pietrzak & Oliwia Pietrzak & Andrzej Montwiłł, 2021. "Effects of Incorporating Rail Transport into a Zero-Emission Urban Deliveries System: Application of Light Freight Railway (LFR) Electric Trains," Energies, MDPI, vol. 14(20), pages 1-24, October.

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