Study on the Influence of Built Environment on the Pedestrian Access Ratio of Rail Transit Stations during Morning Peak
In order to analyze the influence of built environment on the pedestrian access ratio of rail transit stations during morning peak,a gradient boosted decision tree(GBDT)model was proposed to study the nonlinear relationship between built environment and pedestrian access ratio.Taking Nanjing metro as an example,POI data of the open platform combined with multi-source data such as road network planning data and access survey data were obtained,then built environment indexes within the coverage area of 800 m surrounding the station were selected and calculated.GBDT algorithm was used for regression analysis to obtain the relative importance degree and partial dependence graph of each index.The results indicate that job density,road network density,land use mixed entropy index,coverage rate in directions of station entrance and exit and bus station density have a significant positive impact on the proportion of pedestrian access in and out of the station during morning peak,and walking accessibility has a two-way effect,while the impact of household density,quantity of entrance and exit are negative.
built environmentpedestrian access ratioPOI dataGBDT modelnon-linear relationship
NETL
NSTL
万方数据
维普
