140 citations · 231 across the 7 of their papers we have counts for
7 papers
Can large language models assist choice modelling? Insights into prompting strategies and current models' capabilities
Georges Sfeir, Gabriel Nova, Stephane Hess +1
Large Language Models (LLMs) are becoming widely used to support various workflows across different disciplines, yet their potential in discrete choice modelling remains relatively…
A Unified Probabilistic Approach to Traffic Conflict Detection
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh +1
Traffic conflict detection is essential for proactive road safety by identifying potential collisions before they occur. Existing methods rely on surrogate safety measures tailored…
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…
Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands
Sanmay Shelat, Oded Cats, Sander van Cranenburgh
Public transport ridership around the world has been hit hard by the COVID-19 pandemic. Travellers are likely to adapt their behaviour to avoid the risk of transmission and these c…
Choice modelling in the age of machine learning -- discussion paper
S. Van Cranenburgh, S. Wang, A. Vij +2
Since its inception, the choice modelling field has been dominated by theory-driven modelling approaches. Machine learning offers an alternative data-driven approach for modelling…