대중교통 승하차 수요분석을 통한 서울시 역세권 유형화 및 토지이용 특성 연구

초록

This study categorizes types of Seoul’s subway station areas by the diurnal pattern of transit ridership at peak and non-peak times using cluster analysis. Principal component analysis was then conducted to reduce many overlapping land use variables to latent factors, which in turn were used in a multinomial logit model to analyze the relationship between the diurnal pattern of rail ridership and the land use patterns of different station areas. Unlike studies that use a fixed time frame for morning and afternoon peak periods, this study identifies the position of a ridership concentration for each station by comparing the average ridership of half-hour intervals throughout the day. The study finds six main categories of ridership diurnal pattern and shows that the starting position and duration of peak periods vary by station area and that the level of transfer ridership also varies by time and by station type. Moreover, the results demonstrate that the diurnal pattern of subway ridership is closely related to land use, block and lot size, and accessibility of bus services in the station areas.

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