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Assessment of the Impacts of Urban Rail Transit on Metropolitan Regions Using System Dynamics Model

机译:使用系统动力学模型评估城市轨道交通对大都市区的影响

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Urban rail transit system (i.e., metro and light rail) has significant impacts on the mitigation of traffic congestion and sustainable developments of urban traffic system because of the system advantages in terms of speed, land occupation, and low emission. However, considering the complexity and dynamics of the urban traffic system as a whole, it is difficult to achieve effective assessments of a variety of comprehensive impacts. This paper presents the analysis of the impacts of urban rail transit system on metropolitan regions in four aspects: urban traffic, economy, society, and environment, using software Vensim to build a System Dynamics (SD) model on the basis of the system structure analysis. A series of variables are adopted in the model to represent these impacts, which contain congestion degree, GDP (Gross Domestic Product), population, land values, harmful gas emission, accident rate, etc. Construction scale of urban rail transit is selected as the control variable to simulate changes of different indexes under various levels of urban rail transit system scale. A case study of Guangzhou is carried out as a verification of this model to simulate the comprehensive impacts, including congestion degree, total number of cars, land values, and PM10, etc. under different control variables. This paper provides a feasible and effective approach to simulating complex traffic system and references for government decision-making on transportation infrastructure planning.
机译:城市轨道交通系统(即地铁和轻轨)在速度,土地占用和低排放方面具有系统优势,因此对缓解交通拥堵和城市交通系统的可持续发展具有重大影响。但是,考虑到整个城市交通系统的复杂性和动态性,很难对各种综合影响进行有效评估。本文在系统结构分析的基础上,使用Vensim软件建立系统动力学(SD)模型,从城市交通,经济,社会和环境四个方面对城市轨道交通系统对都会区的影响进行了分析。 。模型中采用了一系列变量来表示这些影响,包括拥挤度,GDP(国内生产总值),人口,土地价值,有害气体排放,事故发生率等。选择城市轨道交通的建设规模作为控制变量以模拟不同水平的城市轨道交通系统规模下不同指标的变化。以广州为例,对该模型进行了验证,以模拟不同控制变量下的综合影响,包括拥挤度,汽车总数,土地价值和PM10等。本文为模拟复杂交通系统提供了一种可行有效的方法,为政府交通基础设施规划决策提供了参考。

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