A Joint Model for Vehicle Type and Fuel Type Choice: Evidence from a Cross-Nested Logit Study

This paper presents findings from an analysis based on stated preference survey data on consumer responses to a joint vehicle type choice and fuel type choice experiment. The data is taken from the 2008-2009 California Vehicle Survey. An empirical analysis and a forecasting exercise suggest that the choice process potentially involves high correlations that an analyst may not be able to adequately represent in the modeled utility components. The findings also indicate that a cross-nested logit structure can capture more of the correlation patterns than the standard nested logit model structure in a multi-dimensional choice process. Results from the model show positive effects for improved acceleration, range, purchase incentives and fuel availability, and negative sensitivities to factors such as vehicle price, operating cost and age. Respondents showed a higher baseline preference for clean diesel, flex fuel and hybrid electric vehicles compared with standard gasoline vehicles. Directions for future research are discussed.


  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01446303
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 17 2012 8:54AM