Research On Activity-trip Analysis And Value Promotion Strategies In The Area Of High-speed Railway Stations

In recent years,HSR(High-Speed Railway,HSR)in China has experienced a rapid development.Many cities have seized the opportunity of HSR construction to promote the development and construction of areas of HSR stations.However,due to the lack of understanding of the activity-trip rules of the area of HSR station and the prevalence of empiricism,it has led to problems such as relatively single development mode,extensive development,and uncoordinated transportation and land use.The value of the area of HSR station is generally not high.At the same time,with the increasing abundance of multi-source data such as free-floating bike sharing order data,public transportation smart card data,POI data and AOI data,as well as the continuous deepening of research and application of machine learning methods and geographic information technology,in-depth analysis of activity-trip rules in the area of HSR station through multi-source data mining,and putting forward scientific and reasonable value promotion strategies for the area of HSR station have the research conditions.On the basis of fully summarizing related researches on the area of HSR station at home and abroad,the paper firstly proposes an analysis method for trip characteristics of the area of HSR station based on multi-source data.Afterwards,under the framework of temporal geography,this paper projects an attraction model of activity venues that considers space-time factors,and studies the intrinsic relationship between activity venues and activity-trip in detail from the micro level.The model is then used to identify and validate activity-trip purposes.The verification results show that the activity-trip purpose identification method proposed in this paper is effective,and can effectively estimate the proportion of purpose of various activities.After that,based on the GBDT(Gradient Boosting Decision Tree,GBDT)model,the impact of the built environment of the area of HSR station on the activity-trip behavior was studied from the macro level.According to the feature importance and partial dependence plot output by the GBDT model,the nonlinear influence mechanism and threshold effect of built environment on activity-trip are revealed.The study found that the density of catering facilities(factor importance is 28.5%),public transit station density(factor importance is 15.0%),distance from HSR stations(factor importance is 13.4%)and road network density(factor importance is11.4%)are the built environment factors that have a great impact on activity-trip.Finally,according to the results of the activity-trip analysis,the paper proposes strategies for improving the value of the area of HSR station based on the Node-Place Model.These strategies focus on optimizing the layout of the built environment and multi-modal traffic system.The research results of this paper can provide data processing and method basis for the activity-trip analysis of the area of HSR station,and provide reference basis and decision support for giving full play to the value of station area and promoting the integrated development of HSR station and city.