Analysis Of Passenger Flow In Dalian North Railway Station In Spring And Countermeasure Research

Spring Festival Transport has always been a pronoun to test our transport capacity.Under the influence of traditional ideas,the large-scale population migration during the Spring Festival is always a big problem in front of our transport industry.As the main means of personnel transportation,railway transportation naturally bears the greatest pressure of passenger transportation during the Spring Festival.Railway attracts a large number of passengers depending on its safety,comfort,convenience and economic characteristics.From the point of view of Dalian North Railway Station,this paper studies the passenger flow during the Spring Festival Transport Period.Through the analysis of the data since Dalian North Railway Station began to transport passengers,the characteristics of passenger flow and the regularity of passenger flow distribution during the Spring Festival Transport Period are understood.On the basis of these regularities,the exponential smoothing method,time series method,grey model method and multiple regression method The results are compared with the known data.Finally,combined with the point of the centralized forecasting method,the forecasting model with the highest accuracy is obtained,and the forecast for the next year is completed.After completing the forecast,the data obtained are analyzed,especially the peak period of daily passenger flow.Through calculation,the spring passenger flow of Dalian North Railway Station will always be in the growth trend,and the growth rate is relatively large,even will break through the 900,000 barrier in 2020,which will bring tremendous pressure to the operation of the station;and the maximum passenger flow in a single day will even exceed 40,000 people,regardless of the total volume or the volume of passenger traffic in a single day will be a great challenge to Dalian North Railway Station.Based on these data,this paper tries to do a good job in the research of passenger flow organization and the research of dealing with emergencies.