• DocumentCode
    3300342
  • Title

    Tourism Traffic Character Analysis in Mountain Area during Vacation -- The Scenic Area Yesanpo in Hebei Province as an Example

  • Author

    Wei Ling Hong ; Wang Ke Wen

  • Author_Institution
    China Urban Sustainable Transp. Res. Center (CUSTReC), Beijing, China
  • fYear
    2012
  • fDate
    July 31 2012-Aug. 2 2012
  • Firstpage
    983
  • Lastpage
    986
  • Abstract
    The relationship between tourism traffic and tourism development are closely, especially the road condition of mountainous area is complex and the traffic characteristics is diversity. Study on tourism traffic character in mountain area during vacation not only can forecast the change trend of tourism traffic in advance but also can resolve some traffic safety problems during vacation. The paper takes the scenic area Yesanpo in Hebei province the basic point of investigation. We selected typical sections, Collected related data by using the method of manual counting and the traffic data acquisition instrument Metrocount 5600. Done Tourism traffic character analysis in mountain area during vacation by statistical methods, including the traffic characteristics of major sections and traffic source, velocity distribution etc. This study provides a reference for future mountain tourism traffic organization.
  • Keywords
    data acquisition; road traffic; statistical analysis; traffic engineering computing; travel industry; Hebei province; Metrocount 5600; Yesanpo; future mountain tourism traffic organization; mountain area; road condition; scenic area; statistical methods; tourism development; tourism traffic character analysis; traffic data acquisition instrument; traffic source; vacation; velocity distribution; Cities and towns; Educational institutions; Roads; Safety; Vehicles; Tourism traffic; Yesanpo; two-lane roads in mountain area; vacation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
  • Conference_Location
    GuiLin
  • Print_ISBN
    978-1-4673-2217-1
  • Type

    conf

  • DOI
    10.1109/ICDMA.2012.230
  • Filename
    6298680