Dynamic Methodologies for Assessing Transport Policy Impacts

This paper describes how transportation policy analysis and evaluation has benefited significantly from advances in demand estimation. With the emergence of demand models, which are capable of capturing the causal relationships between transportation level of service characteristics and travel behavior, these models have the potential of transferability, a more meaningful analysis of policy options. However, major assumptions underlying existing analytical techniques have left a number of areas open to new research. Under one assumption commonly made by transportation analysts, transportation demand and supply are equilibrium. It is further assumed, that the transportation system returns to its equilibrium state. The system is perceived to be static and well-behaved, so that linear extrapolation of a past state into the future is allowed. But such cases are the last interesting policy analysis, especially since transportation systems are profoundly nonlinear. In addition, no consideration is given to delayed feedback effects between the various transportation sectors.

Language

  • English

Media Info

  • Media Type: Print
  • Edition: Volume I and Volume II
  • Features: Figures; References; Tables;
  • Pagination: pp 1008-1018
  • Monograph Title: Research for Transport Policies in a Changing World: Proceedings of the World Conference on Transport Research

Subject/Index Terms

Filing Info

  • Accession Number: 01079189
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 22 2007 9:58AM