1 citations · 2 across the 3 of their papers we have counts for
3 papers
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
Jose Ignacio Hernandez, Niek Mouter, Sander van Cranenburgh
Random utility maximisation (RUM) models are one of the cornerstones of discrete choice modelling. However, specifying the utility function of RUM models is not straightforward and…
Computer vision-enriched discrete choice models, with an application to residential location choice
Sander van Cranenburgh, Francisco Garrido-Valenzuela
Visual imagery is indispensable to many multi-attribute decision situations. Examples of such decision situations in travel behaviour research include residential location choices,…
Explainability of Deep Learning models for Urban Space perception
Ruben Sangers, Jan van Gemert, Sander van Cranenburgh
Deep learning based computer vision models are increasingly used by urban planners to support decision making for shaping urban environments. Such models predict how people perceiv…