Public Transport Interchange Behavior Study Based On AVL Data And AFC Data

With the expansion of city and bus network,it’s inevitable to transfer during the trip.Transfer is not only an important part of the public transport system,but also the middle part of the journey.The research on whether to carry on the transfer and transfer behavior has both theoretical and practical significance.Traditionally,it need artificial investigation method to acquire the interchange data,but insufficient,long cycle,high cost and low sampling.Along with the development of the era of data,city’s intelligent transport system has can provide passive data,combining with the boarding and alighting information,so that it can obtain bus passenger’s transfer information through the data logic judgement.With the Intelligent transport system data in ChengDu,firstly,this paper put forward a method to judge whether there is a transfer between continuous journey stages.Then analysis the results of passengers interchange behavior through multi-dimensional.Then conduct a multivariate regression analysis to the transfer volume of bus station.Finally put forward suggestions to transfer stations which need to improve combining with the actual needs in urban.Under the above conditions less than transfer time threshold,less than transfer distance threshold,less than maximum waiting time and other conditions,refining the judgement methods to cross-platform transfer station or otherwise,obtain 24044425 effective IC records,4912816 transfer records one week in ChengDu.The average transfer coefficient is 1.265.This paper not only analysis the result of the transfer respectively from the dimension of passengers types,bus line and bus station as well as from the angle of transfer volume and transfer coefficient,transfer time distribution and transfer space distribution but also preliminarily explore the related factors that influence the transfer volume of bus station.To explore various factors influence mechanism on bus station transfer volume,this paper analysis from the perspective of qualitative and quantitative,including the quantitative processing to the possibility of attracting a interchange,and taking the ChengDu bus network topological structure combining the theory of complex networks,which could calculate the importance of site in public transport network.Finally,through the multivariate linear regression,the adjusted R squared is 0.789 which reasonably explain the station transfer volume and get the regression equation.For practical applying,formulate the principle of inquiring about stations that needs to be optimized through the transfer timeliness and rationality and the total cost of station based on the transfer volume.Then figure out 72 stations which must need to be optimized and put forward improvement suggestions to optimize transfer system as well as reduce the transfer cost.