Backcasting Analysis of Combined Travel Demand Model Considering Induced Traffic

DOI
  • UCHIYAMA Takahiro
    Department of Urban Engineering, School of Engineering, The University of Tokyo
  • MARUYAMA Takuya
    Department of Urban Engineering, School of Engineering, The University of Tokyo
  • HARATA noboru
    Department of Urban Engineering, School of Engineering, The University of Tokyo

Bibliographic Information

Other Title
  • 誘発交通を考慮した統合需要モデルの逆予測による精度評価

Abstract

In the areas suffering from traffic congestion, they plan to construct new road to alleviate the congestion. But some people argue that the construction of new road generates additional traffic and the congestion will not be reduced by this induced traffic. So it is necessary to consider the induced traffic in travel demand forecasting. In the latest studies, one such model is constructed, that is 4 level combined travel demand model. The purpose of this study is to reveal the performance of this combined model. We implement backcasting analysis in the Tokyo Metropolitan Area by 2 models; this combined model and traditional fixed OD models, and compare the two results with the actual data in respect of destination choice, mode choice and link traffic flow. As a result, we show that the prediction accuracy of this combined model is better than that of traditional fixed OD models in these points.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390001205522771328
  • NII Article ID
    130006947453
  • DOI
    10.11361/cpij1.40.0.60.0
  • ISSN
    1348284X
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top