ABSTRACT

Easing transport congestion within a crowded urban environment requires management of travel demand. Managing traffic congestion in urban areas requires a set of effective policies and knowing when to apply them. In this paper, we focus on the managers’ need to determine the most effective policies to respond to changing travel demands. We propose a new framework to achieve this aim by applying a combination of a System Dynamics approach and a Data Envelopment Analysis technique. Despite previous studies that integrate discrete-event simulation with multi-criteria decision-making approaches, the combination of a system dynamics approach with a data envelopment analysis technique proposed in this paper shows an improvement both in forecasting the travel demand and managing it through effective policies.

摘要

在拥挤的城市环境中缓解交通拥堵需要对出行需求进行管理。管理城市地区的交通拥堵需要一套有效的政策并知道何时应用它们。在本文中，我们关注管理者需要确定最有效的政策来应对不断变化的旅行需求。我们提出了一个新的框架，通过结合系统动力学方法和数据包络分析技术来实现这一目标。尽管先前的研究将离散事件模拟与多标准决策方法相结合，但本文提出的系统动力学方法与数据包络分析技术的结合表明，在预测旅行需求和通过有效政策管理旅行需求方面都有所改进.