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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
Transfer Impedence of Trip Chain with a Railway Mode Embedded - Using Seoul Metroplitan Transportation Card Data -, Journal of The Korean Society of Civil Engineers, 2016, 36, 6, 1083  crossref(new windwow)
Express Train Choice and Load Factor Analysis as Line Extension in Seoul Metro 9, Journal of the Korean society for railway, 2016, 19, 5, 663  crossref(new windwow)
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