Dear Prof. Bierlaire,
Hope everything is going fine.
My name is André Duarte, I was a Transportnet fellow, worked for some time with prof. Amalia Polydoropoulou, and attended your Discrete Choice course at EPFL 2008/2009. Probably you don´t remember me but it was a pleasure to meet you.
After some years of not dealing with transport modeling, I have now a challenge to make a stated preferences exercise. It´s a traditional one, 3 alternatives car (time, cost), bus (time, cost, headway), and train (time, cost, headway and transfer time), with 5 choice sets per survey, with O/D and car ownership dependent availability.
It is focused on a feasibility study for improvements to the train connection.
I have read on the forum your suggestion/preference for using a random experimental design, instead of optimal designs. I also discarded the optimal design option, because I do not have any a priori idea of coefficients and so on.
However, due to sample limitations, probably 200 surveys (+- 800 choices), with low train choice probability, I´m considering using a traditional fractional design (like the ones we get from SPSS). Can I have an opinion on the best approach?
I will have to deal with implementing the blocking factor in this solution, for the panel observations, but I will research it further afterward.
Thank you in advance,
My best regards,