ABSTRACT
The study of the quantitative relationship between metro station ridership and influencing factors will provide countermeasures for the problem of insufficient passengers in the built metro. The traditional four-stage modeling has the disadvantages of high cost and insufficient sensitivity. Therefore, the regression model is constructed by using multi-scale geographic weighted regression (MGWR) based on the process of access to Metro. With the station ridership on weekday morning peak in Zhengzhou metro as the dependent variable, and the characteristics of the station, land use, feeder modes facilities, and surrounding social and economic characteristics within specified access distance as independent variables, the local regression model is constructed. According to the result, the adjusted R2 reaches 0.617, which means the explanatory ability of the model is acceptable considering the complexity of individual choices. At the same time, the influence scale and quantitative influence of different variables are obtained, which can provide a reference for improving the passenger flow and optimizing planning routes alignment.
