| Title |
Comparative Analysis of Estimation of Demand for Urban Railway Stations and Forecast of Transportation Facilities Size Prediction |
| Authors |
김황배(Kim, Hwang Bae) ; 이상화(Lee, Sang Hwa) ; 배춘봉(Bae, Choon Bong) |
| DOI |
https://doi.org/10.12652/Ksce.2019.39.6.0877 |
| Keywords |
도시철도역;출입구별 이용자 수;이동편의시설 규모;회귀모형 Urban railway station;Number of users per entrance;Transportation facilities size;Multiple regression model |
| Abstract |
The size of the subway entrance should be calculated according to the user's demand, but Korea has the same size for each entrance by applying a uniform value. Recently, the installation of mobile convenience facilities such as escalators, elevators, etc. is mandated by the traffic weakness promotion law, but it is inconvenient to use the existing stations because it is mainly arranged in the place where it can be installed regardless of user demand. This study aims to establish a model for estimating the size of mobile convenience facilities by predicting the use demand of each station entrance so that the location and size of mobile facilities can be reflected in the design or construction of the station. To this end, a multiple regression model was established to forecast daily demand by utilizing the demand for getting on and off by station and the building association area for each purpose around the railway station. The actual data of Dongdaemun and Jonggak Stations were used to verify the estimated model. In addition, the escalator installation scale was compared / analyzed by doorway using domestic and overseas escalator equations. As a result, it was more accurate to estimate the usage demand for a single station. Also, Jonggak Station has an up and down escalator installed at exit 1, but it was analyzed that it is appropriate to install at exit 4. This study is an advanced form of the essay model for estimating the users of the entrance and exit users of urban railway stations published in 2018. In addition, it seems to be the basis of the current escalator installation criteria. |