Mechanism of impact of the built environment of urban rail transit origin and destination stations on network ridership during peak hours
There exists a significant link between the built environment and rail transit ridership.However,the existing studies are mainly devoted to investigating the impact of the built environment on ridership at rail transit stations,and there are fewer analyses on the impact of network ridership.Unlike station ridership,the vectoral nature of network ridership is subject to the dual effects of the built environment at the origin and destination.In this study,we constructed a built environment indicator system with"5D+N"dimensions based on multi-source geospatial data,and used the LightGBM-SHAP model to analyze the impact of the built environment of the origin and destination stations on network ridership during peak hours from three aspects:the contribution of different characteristics,univariate nonlinear relationship,and bivariate interaction effect.The case study of Tianjin showed that:1)The combined contribution of the top five built environment factors to the importance of network ridership in morning peak reached 13.22,among which the distance of the destination from the city center contributed the most,and the contribution of the built environment of the destination(20.86)was greater than the contribution of the built environment of the starting point(18.30).2)The nonlinear relationship between built environment factors and morning peak network ridership varied significantly,with nonlinear positive correlation,nonlinear negative correlation,and so on,and the threshold effect also existed in a variety of cases,such as single-end threshold and multi-segment threshold.3)For morning peak network ridership,origin or destination bus stop density significantly interacts with destination betweenness centrality,respectively,with bus stop density dominating the interaction effect.The results of the study provide a precise and effective strategy to guide the renewal of the built environment of the station area and to enhance the effectiveness of rail transit ridership.
万方数据
维普
