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Found 4 papers, 2 papers with code
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
Random utility maximisation (RUM) models are one of the cornerstones of discrete choice modelling.
Computer vision-enriched discrete choice models, with an application to residential location choice
Examples of such decision situations in travel behaviour research include residential location choices, vehicle choices, tourist destination choices, and various safety-related choices.
Explainability of Deep Learning models for Urban Space perception
However, the blackbox nature of deep learning models hampers urban planners to understand what landscape objects contribute to a particularly high quality or low quality urban space perception.
Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands
Travellers are likely to adapt their behaviour to avoid the risk of transmission and these changes may even be sustained after the pandemic.
