The best way to think about it is to start by developing first a model for RP data, and, independently, a separate model for SP data. It can be anything (logit, nested, cross-nested, etc.)
Then, when you pull the data together, you declare the SP alternatives unavailable for the RP observations, and the other way around.
> On 17 Jan 2025, at 16:17, R Morales <
rocio....@diadro.com> wrote:
>
> Let’s say I am trying to estimate a model with three alternatives: bus, train, and car, with one nest for the car and another for public transport. How should I handle this when I have SP and RP data? Should I create four nests (PT - SP, PT - RP, Car - SP, Car - RP)? Or should I first create a level with two nests for PT and Car, and then a second level for RP/SP? Could you please direct me to an example model file or references for combining RP-SP data sources to estimate NL models? Thanks in advance
>
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Michel Bierlaire
Transport and Mobility Laboratory
School of Architecture, Civil and Environmental Engineering
EPFL - Ecole Polytechnique Fédérale de Lausanne
http://transp-or.epfl.ch
http://people.epfl.ch/michel.bierlaire