The accuracy of airport logistics forecasting is an important precondition of airport planning. However, from current airport logistics forecasting practice, the predictive value is higher than the actual value in many airports. By analyzing current defect of airport logistics prediction model, this article develops the logistics handling capacity prediction model of Baoan airport in Shenzhen by using Gray System Theory. By comparing actual value to the predictive value, this article demonstrates the feasibility of forecasting Baoan airport logistics handling capacity with Gray Model with higher predicting precision in its results.


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    Titel :

    Forecast of Logistics Handling Capacity of Shenzhen Baoan Airport Based on Gray-Model


    Beteiligte:
    Wen, Jun (Autor:in) / Dong, Bing (Autor:in)

    Kongress:

    International Conference of Logistics Engineering and Management (ICLEM) 2010 ; 2010 ; Chengdu, China


    Erschienen in:

    ICLEM 2010 ; 2169-2175


    Erscheinungsdatum :

    2010-09-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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