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Estimating Urban Railway Demand Based on Catchment Area

Lee Euna 1 Shon Eui-Young 2 Kim Seoljoo 2 Hwang Boyoun 2

1한국철도기술연구원
2서울시립대학교

Accredited

ABSTRACT

Currently the urban railway is constructed in some metropolis to solve the traffic congestion, but some errors have occurred in estimating its demand. In most cases, the demand is calculated from the basis of traffic analysis zone (TAZ) as a minimum administrative area, i.e. Haengjeong-dong. Here all trips in Haegjeong-dong are assumed to be generated in one location. However more than two urban railway stations might be located in one Hangjeong-dong. So the actual demand of urban railway is most affected by the catchment area rather than Haengjeong-dong. Therefore, the segmentation of TAZ based on the catchment area is required to estimate its demand more accurately. In this study, the estimation model based on the catchment area has been developed and its demand forecasting has been made using the newly developed catchment area based model. As a result, it shows the urban railway demand estimation by the catchment area is more accurate than that by Haengjeong-dong. That is, this study shows that it is possible to estimate urban railway demand more accurately by segmenting TAZ based on the catchment area.

Citation status

* References for papers published after 2023 are currently being built.