NDLI: A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study

Content Provider	Springer Nature Link
Author	Hess, Stephane Fowler, Mark Adler, Thomas Bahreinian, Aniss
Copyright Year	2011
Abstract	In the face of growing concerns about greenhouse gas emissions, there is increasing interest in forecasting the likely demand for alternative fuel vehicles. This paper presents an analysis carried out on stated preference survey data on California consumer responses to a joint vehicle type choice and fuel type choice experiment. Our study recognises the fact that this choice process potentially involves high correlations that an analyst may not be able to adequately represent in the modelled utility components. We further hypothesise that a cross-nested logit structure can capture more of the correlation patterns than the standard nested logit model structure in such a multi-dimensional choice process. Our empirical analysis and a brief forecasting exercise produce evidence to support these assertions. The implications of these findings extend beyond the context of the demand for alternative fuel vehicles to the analysis of multi-dimensional choice processes in general. Finally, an extension verifies that further gains can be made by using mixed GEV structures, allowing for random heterogeneity in addition to the flexible correlation structures.
Starting Page	593
Ending Page	625
Page Count	33
File Format	PDF
ISSN	00494488
Journal	Transportation
Volume Number	39
Issue Number	3
e-ISSN	15729435
Language	English
Publisher	Springer US
Publisher Date	2011-09-03
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cross-nested logit Vehicle type choice Fuel type choice Alternative fuel Stated preference Economic Geography Regional/Spatial Science Innovation/Technology Management Engineering Economics, Organization, Logistics, Marketing
Content Type	Text
Resource Type	Article
Subject	Development Transportation Civil and Structural Engineering

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