Research On Pricing Of Beijing Urban Rail Transit Based On Big Data

Due to the advantages of convenience,speed,short waiting time,and free from weather and other factors,subway transit has become the first choice for people to travel.During the process of participating the "Beijing Urban subway Transit Clearing and Clearing" research project,it was discovered that the current pricing method for Beijing urban subway transit uses the shortest path mileage method(not including transfer distances),but it was discovered irrationality.Because in some OD stations(starting station-terminal station),passengers did not choose the shortest path.In addition,subway transit is required to transfer without barriers,and the technical measures to accurately determine people's travel routes are not mature enough or costly.Therefore,this paper studies the fares of Beijing subway transit from the perspective of big data.Using Anylogic simulation technology and the shortest path algorithm establishes the model for seeking the shortest path.Departure time,average inbound time,interval operation time and parking interval,transfer time,transfer waiting time in each line are mersured by the surveys at the subway transit site,then the path travel time is calculated between any OD stations.The passengers entering and exiting data provided by the Beijing Urban subway Clearring and Clearring Center for the week from May 8,2017 to May 14,2017 will be processed through big data analysis technology.The 108 million data from 7:00 to 9:00 peak time is taken as a research sample which is screened out of from the 70 million passenger data,and the real travel time distribution between any OD stations is obtained.Comparing the path travel time of the effective paths in any OD station with the actual travel time distribution of the passengers,the path taken by most passengers is derived in reverse.It is verified unreasonable to fare by the mileage of the shortest path,and the mileage of most passengers' routes as a way of pricing is proposed.The fare of the 8 effective path types is discussed useing examples and big data under the OD stands on the route of a line and the OD station does not have a route.The fare research method based on the big data,by which the specific problems is solved is more reasonable and scientific.