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Tracing a Logical Path of Passengers: A Case study of Seoul Metro Line 9
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 Title & Authors
Tracing a Logical Path of Passengers: A Case study of Seoul Metro Line 9
Kim, Kyung Min; Oh, Suk Mun; Hong, Sung-Pil; Ko, Suk-Joon;
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Based on an observation that tag-out times of passengers from Smart Card data were clustered, Hong et al.[1] recently developed a precise algorithm that detects a logical path for metro passengers. The logical path means the sequence of train boarding and alighting. In this paper, we observe that tag-out times of passengers in Seoul Metro Line 9 were also clustered; we trace an actual logical path of passengers by applying the algorithm. As a result, we identify 91% of passengers successfully and find their logical paths; we also investigate passengers'preferences between express and local trains.
Logical path;Metro;Smart card data;Express train;
 Cited by
서울지하철 9호선 2단계 개통에 따른 급행열차 선택 및 혼잡도 변화분석,김경민;오석문;노학래;

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