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http://dx.doi.org/10.5351/CKSS.2012.19.1.183

Travel Behavior Analysis for Short-Term KTX Passenger Demand Forecasting  

Kim, Han-Soo (Korail Research Institute, Korea Railroad Corporation)
Yun, Dong-Hee (Deajeon-Chungnam HQ, Korea Railroad Corporation)
Lee, Sung-Duk (Department of Information and Statistics, Chungbuk National University)
Publication Information
Communications for Statistical Applications and Methods / v.19, no.1, 2012 , pp. 183-192 More about this Journal
Abstract
This study analyzes the travel behavior for short-term demand forecasting model of KTX. This research suggests the following. First, the outlier criteria is considered to appropriate twice the standard deviation of the traffic. Second, the result of a homogeneity test using ANOVA analysis has been divided into weekdays(Mon Thu and weekends(Fri Sun). Third, a cluster analysis for O/D pairs using trip frequency, traffic averages and th distance between stations was performed.
Keywords
Short-term demand forecasting; travel behavior analysis; KTX; cluster analysis; ANOVA;
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Times Cited By KSCI : 1  (Citation Analysis)
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