Research On The Relationship Between Spatial And Pedestrian Behavior Of Shenyang Urban Rail Transit Station Based On View Model

With the development and construction of the city to speed up the city,the mass transit has become the mainly responsible for public transportation,for pedestrian travel convenience,rail station space also as a main place for various public daily activities,but the integration of intermediate station space on the lack of relevant data collection and the quantitative analysis and forecast.Issued in the city of Shenyang "Shenyang to promote the development of big data action plan for three years(2016-2018 years)" in Shenyang City,to promote the development of big data and smart city construction,therefore,based on the space station related data collection,using quantitative research method to build domain model,domain topological model of space station.Analysis of the existing problems of space station,grasp the real needs of the pedestrian space ontology,through numerical to the traditional definition of the space of "good" and "bad",and provide optimization and accurate prediction of the future development of rail transportation.Firstly,the types and characteristics of pedestrian behavior in the domain of the station to do in the paper,the pedestrian behavior domain into necessity behavior and additional behavior class two,and summarizes the behavior characteristics and behavior within the domain of pedestrians,that when conditions allowed,pedestrians will not only spontaneous occurrence of various behavior that will also be attracted to other pedestrian activities.On this basis,we investigate the behavior and demand of pedestrians in the station domain,and fully understand the demands of pedestrians to the station space.Secondly,to the selection of representative station space from the angle of constructing a quantitative model,combined with the actual situation of qualitative analysis,and then separately from the line of sight,sight depth integration,sight connection value,sight control and visualization of the polymerization domain coefficients of five variable interpretation,analyze the problem from the spatial topological relation angle nature,more intuitive to reflect the space.Again,on the basis of the above analysis,the numerical integration of the quantitative parameters of station domain pedestrian behavior corresponding to the additional space,through the summary,draw the line of sight integration,correlation coefficient and connection value aggregation behavior and the existence of additional pedestrian visualization,and have the most prone to quantify the spatial interval for the value added and the reason,numerical difference exists between the various domains.Finally,by adjusting the station position,building size,layout and sight covering adjustment,optimize the space of the Shenyang Railway Station,the space and the original space quantitative numerical quantitative numerical optimization after compared to verify the optimization results,and to predict the optimized possible additional behavior space.Based on the analysis method of the visual field model,this paper focuses on the behavior rules of pedestrians in the station space after the urban rail transit is put into operation,and obtains the quantitative parameter interval of the additional behavior.