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Analysis of overlapping origin–destination pairs between bus stations to enhance the efficiency of bus operations

机译：公交车站重叠始端目的地对的分析，提升公交业务效率

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摘要

Public transit has a significant impact on minimising traffic congestion and reducing the cost of travelling in urban areas. It is necessary to evaluate the efficiency of the public transit operation in response to the individual traveller's demands for transit. This study aims to analyse the demand for transit with overlapping origin-destination (OD) pairs to enhance the efficiency of transit operations. To achieve this, disaggregated-level travel demand data, i.e. individual traveller's data are collected from an automatic fare collection system called smart card. The Kneedle algorithm is used to calculate the knee point of travel demand. The overlapping OD pairs, which are higher than the knee point value, are calculated and displayed in a map format. On the basis of the overlapping OD pairs, the demand-based overlap index for each bus route is defined to evaluate the efficiency of bus operations. The proposed method is applied to six districts with higher transit demands than other districts in Seoul. On the basis of the results, discussion on the action plans to enhance the efficiency of bus operations are presented. The method proposed in this study contributes to improving the efficiency of the bus system by reflecting individual users' travel demands.
机译：公共交通对最大限度地减少交通拥堵和降低城市地区旅行成本的重大影响。有必要评估公共交通运作的效率，以响应个人旅行者对过境的要求。本研究旨在分析与重叠源 - 目的地（OD）对进行交通的需求，以提高运输运营的效率。为实现这一目标，分解级别的旅行需求数据，即各个旅行者的数据是从名为智能卡的自动票价收集系统收集的。膝关节算法用于计算旅行需求的膝关节点。重叠的OD对高于膝尖值，以地图格式计算并显示。在重叠的OD对的基础上，定义了每个总线路线的基于需求的重叠索引，以评估总线操作的效率。该方法适用于六区，比首尔其他地区的过境需求较高。在结果的基础上，提出了关于加强公交业务效率的行动计划的讨论。本研究提出的方法有助于通过反映个人用户的旅行需求来提高总线系统的效率。

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