Dominancy in stated choice surveys and impact on scale in discrete choice models
Files
(Published version)
Date
2014
Authors
Bliemer, M.C.J.
Rose, J.
Chorus, C.G.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
10th International Conference on Transport Survey Methods, 2014, pp.1-18
Statement of Responsibility
Conference Name
10th International Conference on Transport Survey Methods (16 Nov 2014 - 21 Nov 2014 : Leura, Australia)
Abstract
Stated choice surveys have been used for several decades to estimate preferences of agents, and are widely applied in the transportation domain. Typically orthogonal or efficient experimental designs underlie such surveys. These experimental designs may suffer from choice tasks containing a dominant alternative, which we show is problematic because it affects scale and therefore may bias parameter estimates. We propose a new measure to calculate dominancy and automatically detect such problematic choice tasks in an experimental design. Further, we propose a new regret-scaled multinomial logit model that takes the level of dominancy within a choice task into account in order to scale each choice task appropriately. Results are shown based on both simulated and empirical data.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2014 The authors