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System Dynamic Model for Simulating Demand-Supply Interaction of Railway Express Freight System

机译:系统动态模型,用于模拟铁路快速货运系统需求交互

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摘要

Express freight transportation is a rich seam of profit for China railway, and railway express freight system is a complex system with multiple variables and nonlinear feedback loops. This paper presents a System Dynamic Model for simulating the interaction between demand and supply of railway express freight system in China. The model consists of three submodels including economic environment, demand, supply, and investment, and its validity is verified by running in Vensim DDS software using historical data. In the simulation of period 2000–2025, the three variables are taken as control variables including growth rate of the national economy, railway express freight rate, and investment in fixed railway assets. Three scenarios for each control variable are simulated, and their effects are analyzed to provide beneficial reference for regulating the demand-supply gap of railway express freight. The simulation demonstrated that raising freight rate, adding investment in fixed railway assets, and decelerating economic growth rate are all effective ways to shrink the demand-supply gap of railway express freight. The model can be used to forecast the transport demand of railway express freight and test the outcomes of demand-supply regulating measures.
机译:快递运输是中国铁路利润丰富的煤层,铁路快速货运系统是一种复杂的系统,具有多个变量和非线性反馈循环。本文介绍了一种系统动态模型,用于模拟中国需求与铁路快速货运系统的交互。该模型由三个子模型组成,包括经济环境,需求,供应和投资,通过使用历史数据在Vensim DDS软件中运行来验证其有效性。在2000 - 2015年期间的模拟中,三个变量被视为控制变量,包括国民经济的生长速度,铁路快速运费和固定铁路资产的投资。模拟了每个控制变量的三种场景,分析了它们的效果,为调节铁路快速运费的需求差距提供有益参考。该模拟表明,提高运费,增加固定铁路资产的投资,以及减速的经济增长率是缩小铁路快速运费的需求差距的所有有效方法。该模型可用于预测铁路快速运费的运输需求,并测试需求供应调节措施的结果。

著录项

  • 作者

    Lingli Wang; Xingchen Zhang;

  • 作者单位
  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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