Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
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Updated
Oct 31, 2024 - Python
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
Advanced choice modeling with multidimensional utility representations.
Lab experiment to study the impact of time perception on route choices in public transit. It presents choice scenarios using animations or numerical attributes. It is implemented with PyQT and conducted with participants from Santiago, Chile and London, UK.
Binary logit based on the Mobility and Transport Microcensus 2015 explaining the "choice" of working - at least from time to time - from home in Switzerland.
The model that has been uploaded to this repository aspires to describe routing behavior of micro-mobility modes, e.g., e-bikes and e-scoters, in relationship with traditional modes, e.g., private car and walking.
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