Abstract
In view of the urban traffic congestion and vehicle exhaust pollution, this paper utilizes the system dynamics method to establish a traffic congestion pricing management model from the perspective of environmental and social benefits. Firstly, the charge policy in Shanghai is introduced to test, validate and simulate the model to get a relatively reasonable range of congestion charges. The results show that this policy reduces the supply level of public transport (SLPT). To this end, this paper further introduces the subsidy mechanism to improve the model and adopts the sensitivity analysis and marginal decreasing (increasing) effects to explore the reasonable subsidy range. Secondly, the combination schemes such as zero subsidy and low charge, zero subsidy and high charge, and high charge and subsidy are conducted with dynamic simulation and comparison to obtain a relatively satisfactory solution. Finally, the implementation effect of the scheme is simulated to obtain the following results: The degree of traffic congestion and amount of \(\hbox {NO}_{\mathrm{X}}\) emissions decreased by 70.27 and \(19.92\%\) after the implementation of the policy, respectively. The SLPT increased by approximately \(123.67\%\). This verifies the rationality, validity and practicability of the model.
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Jia, S., Yan, G., Shen, A. et al. A System Dynamics Model for Determining the Traffic Congestion Charges and Subsidies. Arab J Sci Eng 42, 5291–5304 (2017). https://doi.org/10.1007/s13369-017-2637-5
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DOI: https://doi.org/10.1007/s13369-017-2637-5