Contributions to Understanding Joint Relationships Among Activity and Travel Variables

The purpose of this paper is to summarize research investigating joint relationships among activity and travel variables that include: trip chaining pattern; mode choice; time of day choice; and activity duration. To analyze the joint relationships, the paper uses joint econometric simultaneous equations modeling methodologies that accommodate mixed variables and flexible error covariance structures. The analysis and findings of the research show direct implications for activity based travel demand modeling. The development and application of these models require accurate representation of prevalent relationships in the population in the context of individual travel behavior. The paper suggests that future research focus efforts on analyzing whether this study's findings regarding causal relationships between travel variables hold in other data sets. The modeling framework for causal analysis between two discrete choices can also be extended to consider multinomial choice situations.

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    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Pendyala, Ram M
    • Ye, Xin
  • Publication Date: 2005


  • English

Media Info

  • Media Type: Print
  • Features: References; Tables;
  • Pagination: pp 1-24
  • Monograph Title: Progress in Activity-Based Analysis

Subject/Index Terms

Filing Info

  • Accession Number: 01003562
  • Record Type: Publication
  • ISBN: 0080445810
  • Files: TRIS
  • Created Date: Aug 15 2005 2:15PM