The prediction of high speed railway passenger demand volume is important for not only development of railway but also meeting the passenger transport demand. Because of the volatility and uncertainty of the passenger transport demand, this paper puts forward a regression forecasting model based on Grey Relational Analysis (GRA). The correlation between passenger demand and its influencing factors is worked out by using GRA. A multivariate nonlinear regression equation is established to predict high speed railway passenger demand volume. Base on the method, a more reasonable transportation plan and marketing strategy can be developed to meet passenger transport demand better.
Prediction of High Speed Railway Passenger Demand Volume Based on Grey Relational Analysis
Fifth International Conference on Transportation Engineering ; 2015 ; Dailan, China
ICTE 2015 ; 173-179
2015-09-25
Conference paper
Electronic Resource
English