雁抚椰韵
幼苗
共回答了22个问题采纳率:86.4% 举报
High speed railway construction in China is entering the peak period.High speed railway passenger demand is a basis in reality,the population of the nation,the development of economy,affluent population expansion,city development are the important factors to stimulate passenger demand for high-speed railway.In order to better understand the demand fluctuation of shipping market,combined with the existing capacity,making transportation organization scheme more reasonable and marketing strategy,better meet the passenger transportation demand,on the need for investigation and forecast of high speed railwaypassenger demand.
Based on the analysis of the influence factors of direct high-speed railway passenger demand and indirect factors,establish the regression forecasting model based on grey relational analysis,namely the use of gray correlation analysis,the correlation between influential factors and passenger transport demand,then get the main influence factors on passenger demand for high-speed railway,to establish the main factors,because of the multi variable regression equation to passenger demand,the equation was solved by using the parameters of the Excel data analysis tool.Taking Dalian station as an example,establishes a regression to predict the future of Dalian Station passenger trafficdemand forecasting model,provides the basis for the improvement of the transportation organization and improve the quality of service.
1年前
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