Abstract
With the progress of technology and the rapid development of industry, the urban traffic of China has a tendency to blowout. The growing problem of urban traffic congestion has become an important factor which restricts the further development of urban economy. At present, Chinese urban traffic congestion is widespread, but governance of traffic problems is lagging behind. This paper starts with phenomenon of urban traffic congestion, analyzes the present situation, reasons and effects of urban traffic congestion. Taking Wuhan city as an example, by constructing a causal relationship diagram of urban traffic system, using the principle and method of system dynamics to establish a simulation model for governing the urban traffic congestion, this paper in view of system to comprehensively analyzes the causal relationship between the variables that impact of urban traffic congestion, and puts forward the countermeasures and suggestions which provide a reference for the governance of urban traffic congestion problems to solve the traffic congestion problem in Wuhan.
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Acknowledgement
This work is financially support by the Research on the performance appraisal system and its realization and application of transport industry informatization. Sponsored by Chinese Ministry of Transport, 2015–2017 (Project ID: 20151g0127), the Research of “Internet + Passenger transport service” (Project ID: 151100211400).
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He, K., Chen, Y. (2016). Urban Traffic Congestion Based on System Dynamics: Taking Wuhan City as an Example. In: Li, W., et al. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864. Springer, Cham. https://doi.org/10.1007/978-3-319-45940-0_34
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DOI: https://doi.org/10.1007/978-3-319-45940-0_34
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