Experimental design influences on stated choice outputs: An empirical study in air travel choice
By Michiel C. J. Bliemer, John M. Rose. 2009
285 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/7a774d719d40c256c1652b1abf9028de2797ad74
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- John M. Rose
- Riccardo Scarpa
- Michiel C. J. Bliemer
- M. Thiene
- Michele Moretto
- R. Cavalli
- Cristiano Franceschinis
- David A. Hensher
In Transportation
- Riccardo Scarpa
- John M. Rose
- Michiel C. J. Bliemer
- M. Thiene
- Michele Moretto
- R. Cavalli
- Cristiano Franceschinis
- Marisol Castro
Citations in the corpus
- Sample size requirements for stated choice experiments (2013, methodology): “1 As has been demonstrated by Bliemer and Rose (2011) for the MNL model, there is no need to generate large designs and then give subsets of choice tasks to respondents.”
- Investigating the contribution of Demand Responsive Transport to a sustainable local public transport system (2014, methodology): “The cards were designed in accordance with the D-ef fi ciency principle (Bliemer & Rose, 2011) using the software NGene.”
- Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers (2015, background): “The final D-efficiency was 98%, where a “good” D-efficiency rating is 80% or greater, indicating that the design is balanced and orthogonal (Bliemer and Rose, 2011).”
- Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory (2017, methodology): “The combination of levels that appeared in each choice task was defined according to three different sub designs, namely near orthogonal, D-efficient [73], [74], [75], [76], and a serial design [77].”