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Travel Behavior Analysis for Short-Term KTX Passenger Demand Forecasting
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 Title & Authors
Travel Behavior Analysis for Short-Term KTX Passenger Demand Forecasting
Kim, Han-Soo; Yun, Dong-Hee; Lee, Sung-Duk;
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 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;
 Language
Korean
 Cited by
1.
계절 ARIMA 모형을 이용한 여객수송수요 예측: 중앙선을 중심으로,김범승;

한국철도학회논문집, 2014. vol.17. 4, pp.307-312 crossref(new window)
2.
KTX 기종점 통행 전수화,김한수;

철도저널, 2015. vol.18. 2, pp.115-118
1.
Forecasting Passenger Transport Demand Using Seasonal ARIMA Model - Focused on Joongang Line, Journal of the Korean society for railway, 2014, 17, 4, 307  crossref(new windwow)
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