链接完整性与道路收费因果模型:一种系统动力学仿真方法

Masriah Mansur, Z. Kamaruzzaman, A. A. Ahmarofi, J. Cheng, Hamirahanim Abdul Rahman, K. A. Masri, Nadirah Binti Abdul Rahim, S. Shariff
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引用次数: 0

摘要

随着马来西亚的快速城市化和生活水平的不断提高,车辆保有量和出行量持续增长。大城市及其周边地区机动交通的增加导致了许多社会、环境和经济问题,这些问题往往可归因于汽车作为城市交通的主要方式的广泛使用。这加剧了该国高速公路的交通拥堵,尤其是在吉隆坡等城市地区。这种交通挤塞对交通的可持续发展构成持续威胁。因此,通过使用系统动力学,本研究建立了关于道路收费作为减少拥堵的工具和提高可持续性的垫脚石的实施的因果关系。道路收费是向使用道路网络的司机收取的直接费用,目的是减少高峰时段道路上的私家车数量。该因果循环图由五个子系统组成:道路拥堵、道路吸引力、新道路建设、公共交通和道路收费。道路拥堵、新建道路和道路收费都是各种负极性相互强化的结果。因此,当局应该更加重视这些漏洞,因为它们将不可避免地导致意想不到的变化。此外,通过结合以前的工作和该领域专家的整体观点,CLD可以帮助确定正在研究的问题的主要因素。在未来的工作中,开发的CLD应扩展到SD模型的下一个阶段,称为库存流程图(SFD)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linking integrity with road pricing cause-and-effect model: A system dynamics simulation approach
With Malaysia's rapid urbanisation and continuous improvement of living standards, vehicle ownership and trip volume continue to grow. Increases in motor traffic in large cities and their environs result in a number of social, environmental, and economic issues, which are frequently attributable to the widespread use of automobiles as the primary mode of urban transportation. This exacerbates traffic congestion on the country's highways, particularly in urban areas such as Kuala Lumpur. This traffic congestion poses an ongoing threat to the sustainability of transport development. Thus, by using the system dynamics, this study establishes a cause-and-effect relationship regarding the implementation of road pricing as a tool for reducing congestion and a stepping stone for enhancing sustainability. Road pricing is a direct charge assessed to drivers who use the road network with the goal of reducing the number of private vehicles on the road during peak hours. The developed Causal Loop Diagram (CLD) composed of five subsystems: road congestion, road attractiveness, new road construction, public transportation, and road pricing. The road congestion, new road construction, and road pricing all encounter mutual reinforcement as a result of a variety of negative polarities. As a result, authorities should place a greater emphasis on these loopholes, as they will inevitably result in unexpected changes. Additionally, by incorporating holistic perspectives from previous works and experts in the field, CLD can aid in identifying the primary factors underlying the problem being studied. In future work, the developed CLD should be extended to the next stage of the SD model, dubbed stock-flow-diagram (SFD).
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