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http://dx.doi.org/10.12815/kits.2017.16.1.50

Factor Analysis for Transit Transfer using Public Traffic Card Data  

Lee, Da-Eun (The Korea Transport Institute)
Oh, Ju-Taek (Korea National University of Transportation)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.1, 2017 , pp. 50-63 More about this Journal
Abstract
While transit is inconvenient, it is also inevitable for the efficient public transportation. Reducing the number of transfers as much as possible is most important in providing the convenience of public transportation and facilitating the public transportation. As for the public transportation card data, 61,986 items on weekdays and 69,100 items on weekends were collected. Pattern analysis and traffic influence factors were analyzed using traffic data card. Trip chain results revealed that people have more transit transfers for shopping and leasure than commuting purposes on weekends and that commuting distance and time increase by 10 km and 9.9 minutes, respectively. Besides, results of the structural equation model showed that factor 1(total travel time, total travel distance), factor 2(number of people getting on and off), factor 3(transit time), and factor 4(number of bus connections, number of operations) were found to have significant effects on the number of transfers.
Keywords
Public Traffic Card Data; Transfer Pattern Analysis; Trip Chain; Transfer Factor Analysis; Structural Equation Model;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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