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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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 Abstract
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.
 Keywords
Logical path;Metro;Smart card data;Express train;
 Language
Korean
 Cited by
1.
서울지하철 9호선 2단계 개통에 따른 급행열차 선택 및 혼잡도 변화분석,김경민;오석문;노학래;

한국철도학회논문집, 2016. vol.19. 5, pp.663-671 crossref(new window)
2.
철도수단이 내재된 통행사슬의 환승저항 추정방안 - 수도권 교통카드자료를 활용하여 -,이미영;손지언;

대한토목학회논문집, 2016. vol.36. 6, pp.1083-1091 crossref(new window)
1.
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)
2.
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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S.P. Hong, Y.H. Min, M.J. Park, K.M. Kim, et al. (2015) Precise estimation of connections of metro passengers from Smart Card data, Transportation, Advance online publication, DOI 10.1007/s11116-015-9617-y. crossref(new window)

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