The reasonably and accurately prediction of tourism highway traffic demand of tourist attractions is a key issue in regional tourist planning and road network optimization. Based on the analysis of influence factors, this paper presented a method to calculate tourist highway traffic demand of tourist attractions through the number of visiting tourism of the tourist attraction. Then we compared the predicted value with the actual survey value, and a case study of Xingkai Lake had been analyzed and attempted to validate the establishment model. The presented tourist highway traffic demand model can provide a reference for regional tourist planning and road network optimization.


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    Title :

    Tourism Highway Traffic Demand Forecasting of Tourist Attractions: A Case Study of Xingkai Lake, China



    Published in:

    Advanced Materials Research ; 779-780 ; 868-871


    Publication date :

    2013-09-04


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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