Hello Professor Bierlaire,
We were hoping to use biogeme for estimating a multi-level nested logit model for the mode choice and came across a problem on how to represent the choice tree in Biogeme.
Reading other posts in the forum, I realised we might need to approximate our structure using a cross-nested model instead.
Indeed. It is easier and more appropriate to use a cross-nested logit model, instead of a multi-level nested logit.
The multi-level nested logit requires you to code the probability function of the MEV model, which may be quite technical.
I have posted my question on the forum page (here
) but haven’t received much help. Do you think the forum was
the best place for this type of question, or should I use other avenues for help on my question?
The forum is the right place, although it is not guaranteed that you’ll receive a response.
Look also at the examples provided online. This is usually the best way to proceed.
Any direction from your side would be much appreciated.
Mehdi (Matt) Taghavi, M.Eng MIEAust | Jacobs | Associate
Asia Pacific – People and Places Solutions
M: 041 2271 646
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