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.

中文翻译：

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分析公交车站之间重叠的起点-终点对，以提高公交运营效率

公共交通对最大程度地减少交通拥堵和降低城市出行成本具有重大影响。有必要根据个人旅行者的过境需求评估公共交通运营的效率。本研究旨在分析起点和终点重叠的交通需求（ 外径 ）对，以提高公交运营效率。为此，从称为智能卡的自动票价收集系统中收集了分类水平的旅行需求数据，即单个旅行者的数据。Kneedle算法用于计算旅行需求的拐点。重叠外径高于拐点值的对将被计算并以地图格式显示。在重叠的基础上外径对中，定义了每个公交路线的基于需求的重叠指数，以评估公交运营的效率。该方法适用于交通需求比首尔其他地区更高的六个地区。在结果的基础上，提出了有关提高巴士运营效率的行动计划的讨论。本研究中提出的方法通过反映个人用户的出行需求，有助于提高公交系统的效率。