• DocumentCode
    536526
  • Title

    Study on the Traffic Volume Prediction of Highway Tourist Traffic

  • Author

    Yu Lisha ; Yin Xiangyu ; Xie Xinlian

  • Author_Institution
    Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Scientific and accurate forecast of highway tourist traffic volume is the premise of regional tourism transportation development planning. Based on a detailed analysis of the characteristics and influencing factors of highway tourism transportation, Elastic Coefficients Method and Factor Analysis Model were innovatively combined and proposed to quantitatively forecast regional road tourist traffic volume. After that, South road of Lushun, Dalian was introduced to testify the proposed algorithm. The results implicate a good adaptability of this model in the prediction of highway tourist traffic volume. Also, the results provide basis for regional highway planning and construction, transport infrastructure construction, rational distribution of transportation capacity and the development planning of tourism industry, on the premises of not wasting road resources without increasing the road load to achieve the sustainable development of tourism transportation.
  • Keywords
    road traffic; transportation; travel industry; elastic coefficients method; factor analysis model; highway tourism transportation; highway tourist traffic; regional highway construction; regional highway planning; regional tourism transportation development planning; sustainable development; traffic volume prediction; transport infrastructure construction; transportation capacity rational distribution; Economic indicators; Elasticity; Industries; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5660229
  • Filename
    5660229