The Construction of Optimal Stated Choice Experiments: Theory and Methods by STREET, D. J. and BURGESS, L.

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Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany (2014, methodology): “Various methods (Rose and Bliemer 2008; Street and Burgess 2007; Street et al. 2005) can be applied to reduce the number of possible combinations.”
Models of best–worst choice and ranking among multiattribute options (profiles) (2012, methodology): “The experimental design, D(P ), was a Street and Burgess (2007) design for testing the main effects of the attributes.”
Bayesian optimal designs for discrete choice experiments with partial profiles (2011, background): “…approach, some researchers have transformed the design problem for the MNL model (4), which is in essence nonlinear, into a linear one by creating locally optimal designs assuming β = 0k, where 0k is a k-dimensional vector of zeroes (see, e.g., Street and Burgess 2007; Grossmann et al. 2009).”
Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information (2008, methodology): “Burgess and Street (2005) and Street and Burgess (2007) formally discuss the properties of “generator developed” designs, and derive several key results associated with maximizing the determinant of C under the null hypothesis.”