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System Dynamics Perspective of the Apps-based Transportation Ecosystem

机译:基于应用程序的运输生态系统的系统动力学视角

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Along with the development of ICT, transportation domain in Jakarta is evolving. The blooming of apps-based transportation has become an interesting alternative transportation mode for the citizens. This mode of transportation is diverting the usage of single occupancy travel to a more occupancy travel, such that it is expected to give positive contributions in reducing the traffic congestion. In this regard, policy intervention to the apps-based transportation ecosystem is being implemented by the government to ensure the conducive situation with the other transportation mode. This study provides an analysis of the policy intervention impact to the traffic congestion in Jakarta. A simulation model capturing the dynamic of the apps-based transportation ecosystem is developed using system dynamic approach. The main aspects considered in the model are including the usage of apps-based transportation, the traffic congestion, and the number of vehicles on the road. The simulation of the model is conducted based on four scenarios of policy intervention, namely, empowering, control, limited, and block. By using the data that are relevant to the situation in Jakarta, the simulation result shows that the traffic congestion level will significantly decline when the policy related to the apps-based transportation is supportive.
机译:随着ICT的发展,雅加达的交通领域也在不断发展。基于应用程序的交通蓬勃发展,已成为市民一种有趣的替代交通方式。这种运输方式正在将单人旅行的使用转向更多人的旅行,从而有望在减少交通拥堵方面做出积极贡献。在这方面,政府正在对基于应用程序的运输生态系统实施政策干预,以确保与其他运输模式的有利局面。这项研究分析了政策干预对雅加达交通拥堵的影响。使用系统动态方法开发了一个捕获基于应用程序的运输生态系统动态的仿真模型。模型中考虑的主要方面包括基于应用程序的交通方式的使用,交通拥堵以及道路上的车辆数量。该模型的仿真是基于四种策略干预方案进行的,即授权,控制,限制和阻止。通过使用与雅加达局势有关的数据,模拟结果表明,当与基于应用程序的交通有关的策略支持时,交通拥堵水平将大大降低。

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