A structural equations analysis of commuters' activity and travel patterns

A. R. Kuppam, R. M. Pendyala

Research output: Contribution to journalArticlepeer-review

115 Scopus citations


An exploratory analysis of commuters' activity and travel patterns was carried out using activity-based travel survey data collected in the Washington, DC metropolitan area to investigate and estimate relationships among socio-demographics, activity participation, and travel behavior. Structural equations modeling methodology was adopted to determine the structural relationships among commuters' demographics, activity patterns, trip generation, and trip chaining information. Three types of structural equations model systems were estimated: one that models relationships between travel and activity participation, another that captures trade-offs between in-home and out-of-home activity durations, and a third that models the generation of complex work trip chains. The model estimation results show that strong relationships do exist among commuters' socio-demographic characteristics, activity engagement information, and travel behavior. The finding that significant trade-offs exist between in-home and out-of-home activity participation is noteworthy in the context of in-home vs. out-of-home substitution effects. Virtually all of the results obtained in this paper corooborate earlier findings reported in the literature regarding relationships among time use, activity participation, and travel.

Original languageEnglish (US)
Pages (from-to)33-54
Number of pages22
Issue number1
StatePublished - Mar 14 2001
Externally publishedYes


  • Activity frequency
  • Activity pattern
  • Commuter behavior
  • Structural equations
  • Time use
  • Travel duration

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Development
  • Transportation


Dive into the research topics of 'A structural equations analysis of commuters' activity and travel patterns'. Together they form a unique fingerprint.

Cite this