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http://dx.doi.org/10.7782/JKSR.2015.18.6.586

Tracing a Logical Path of Passengers: A Case study of Seoul Metro Line 9  

Kim, Kyung Min (Korea Railroad Research Institute)
Oh, Suk Mun (Korea Railroad Research Institute)
Hong, Sung-Pil (Department of Industrial Engineering, Seoul National University)
Ko, Suk-Joon (Department of Industrial Engineering, Seoul National University)
Publication Information
Journal of the Korean Society for Railway / v.18, no.6, 2015 , pp. 586-595 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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