An Inverse Analysis of Interactive Travel Behavior

This chapter focuses on travel behavior in trips with interdependence among trip makers. The chapter describes how game theory is a powerful tool for analyzing this type of behavior, but there has been no technique that uses observation data to estimate trip makers’ payoff from the observation data. This chapter aims to show the necessity of this kind of estimation technique for a better understanding of travel behavior in the knowledge society, and to this end, the chapter developed a model for estimating payoff. The estimation capability of the model is examined through numerical examples with hypothetical data. Although the model proposed in this chapter is quite, simple, it has potential as a useful tool for estimation. The authors note that travel behavior is a derived demand and it is quite important to take the interdependence among trip makers into consideration when analyzing travel behavior and in exploring the future direction of transportation systems development.


  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 337-358
  • Monograph Title: Structural Change in Transportation and Communications in the Knowledge Society

Subject/Index Terms

Filing Info

  • Accession Number: 01050163
  • Record Type: Publication
  • ISBN: 9781843766100
  • Files: TRIS
  • Created Date: May 29 2007 5:38PM