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  <front>

    <journal-meta>

      <journal-title>Information Technology Journal</journal-title>

      <issn pub-type="ppub">1812-5638</issn>

      <issn pub-type="epub">1812-5646</issn>

      <publisher>

        <publisher-name>Asian Network for Scientific Information</publisher-name>

      </publisher>

    </journal-meta>


    <article-meta>

      <article-id pub-id-type="doi">10.3923/itj.2012.431.435</article-id>


      <title-group>

        <article-title><![CDATA[Research on Dynamic Pricing Between High Speed Rail and Air Transport Under the Influence of Induced Passenger Flow]]></article-title>

      </title-group>


      <contrib-group>

        <contrib contrib-type="author" xlink:type="simple">


          <name name-style="western">

            <surname>Xu</surname>

            <given-names>Zhang</given-names>

          </name>


          <name name-style="western">

            <surname>Weixin</surname>

            <given-names>Luan</given-names>

          </name>


          <name name-style="western">

            <surname>Quande</surname>

            <given-names>Cai</given-names>

          </name>


          <name name-style="western">

            <surname>Bingru</surname>

            <given-names>Zhao</given-names>

          </name>


        </contrib>

      </contrib-group>


      <pub-date pub-type="collection">


        <month>4</month>




        <year>2012</year>

      </pub-date>


      <volume>11</volume>

      <issue>4</issue>


      <abstract><![CDATA[<p>This study first briefly describes the application of game 
  theory and Changes arising from the combination of ticket price changes in passenger 
  traffic to the dynamic pricing between high speed rail and air, selects Stackelberg 
  model to describe the process of dynamic pricing process, then establishes multilayer 
  planning dynamic pricing model between high speed rail and air transport with 
  the thinking of bilevel programming model and calculated the constructed model 
  ions with practical examples based on the heuristic algorithm of sensitivity 
  analysis. With the analysis of the competition game pricing process between 
  high speed rail and air transport, a conclusion under the influence of passenger 
  has been drawn, that is high speed rail tends to balance ticket prices range 
  in [38.8<img src="../xml/itj/2012/images/img1-2k12-431-435.gif" width="11" height="12" align="absmiddle">,39<img src="../xml/itj/2012/images/img1-2k12-431-435.gif" width="11" height="12" align="absmiddle">] 
  and air transport tends to balance the ticket price range in [55.5<img src="../xml/itj/2012/images/img1-2k12-431-435.gif" width="11" height="12" align="absmiddle">,56<img src="../xml/itj/2012/images/img1-2k12-431-435.gif" width="11" height="12" align="absmiddle">]. 
  Finally, this study systematically analyzes the passenger flow and the changes 
  of profits in the game process of the pricing competition between high speed 
  rail and air transport.</p>]]></abstract>


    </article-meta>

  </front>


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</article>

