A multi-level approach to travel mode choice - How person characteristics and situation specific aspects determine car use in a student sample

The presented study analyzes travel mode choice in a student sample on four frequent trips: To the university, to work, to the favorite leisure activity, and to the favorite shop. The decision to use the car in contrast to alternative travel modes is modeled for each individual trip using a two-level structural equation model with trip specific attributes on Level 1 and person specific attributes on Level 2. Data was gathered in an online travel survey on a student sample of the Ruhr-University in Bochum. A total of 3,560 students reported their mode choice for 26,865 individual trips. On the person level a comprehensive action determination model was applied to explain variation in person specific car preference, whereas on the situation level car availability, trip duration, day of travel, disruption in public transportation, weather, daylight, and purpose of the trip were included as predictors. The proposed two-level model is supported by the data, Level 1 predictors explain 62% of Level 1 variation, the Level 2 model explains 48% of Level 2 variance. The intraclass-correlation of car preference is .535. In a final step, interactions between person and trip specific variables were explored.

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01339873
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: May 18 2011 10:51AM