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Public Transportation Service Evaluations Utilizing Seoul Transportation Card Data

机译:利用首尔交通卡数据进行公共交通服务评估

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This study evaluated transit service performance in Seoul using data collected from the Automatic Fare Collection (AFC) system in Seoul. The distance-based fare system in Seoul allows a maximum of four transfers with no additional charges to encourage transit ridership. In order to analyze the transit transfers, this study developed quantitative indicators for public transportation evaluations differentiated from those of previous studies by the fact that it utilizes data mining techniques which incorporate massive amounts of data (over 10 million transits per day) derived from the smart card system. This study not only carried out an evaluation to improve public transportation quality but provided comparative analysis of the mobility handicapped and an evaluation of public transportation users’ regional equity. This evaluative analysis of Level of Services (LOS) for various items is expected to be adopted for analyzing LOS status and generating improvement priorities and to be utilized as an objective database for public transportation policy decisions.
机译:这项研究使用从首尔自动票价收集(AFC)系统收集的数据评估了首尔的过境服务绩效。首尔基于距离的票价系统最多可进行四次换乘,而无需额外付费以鼓励过境乘车。为了分析过境运输,本研究开发了用于公共交通评估的定量指标,该指标与以前的研究有所不同,因为它利用了数据挖掘技术,该技术整合了从智能汽车获得的大量数据(每天超过1000万次过境)卡系统。这项研究不仅进行了改善公共交通质量的评估,而且还对残疾人的出行能力进行了比较分析,并评估了公共交通使用者的区域公平性。预期将对各个项目的服务水平(LOS)进行这种评估分析,以分析LOS状态并生成改进优先级,并将其用作公共交通政策决策的客观数据库。

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