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.


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    Title :

    Prediction of High Speed Railway Passenger Demand Volume Based on Grey Relational Analysis


    Contributors:
    Rong, Wenyu (author) / Liu, Di (author) / He, Xi (author)

    Conference:

    Fifth International Conference on Transportation Engineering ; 2015 ; Dailan, China


    Published in:

    ICTE 2015 ; 173-179


    Publication date :

    2015-09-25




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English