철도수요의 시계열 분해 방법에 대한 연구

초록

This paper intriduced how to adopt X-12-ARIMA to decompose the railway passenger semand of the Korea National Railroad. Especially, selecting on proper filters is focused. The trend filter is identical to the low pass filter in the signal processing field, and so the seasonal filter is to band pass filter in the signal processing field, and so the seasonal filter is to band pass filter too. Some consideration, selecting a filter, are provided from the view-point of the specrum analysis. The technique introduced in this paper will be adopted to the project that is to develope the forecasting system of Korea railway passenger demand which is a part od the high speed rail information system