Identifying moral antecedents of decision-making in discrete choice models

Discrete Choice Models are valuable tools for quantitative decision-making analysis: they allow analysts to draw behavioural conclusions from data, better understand and predict choices, and evaluate policies. However, up until recently, they had a blind spot for morality. Moral values often play an essential role in decision-making; fairness or...

Assessing Reference Dependence in Travel Choice Behaviour

People make all kinds of choices every day, such as driving to work rather than taking public transport. Many of these choices have a direct impact on demand for products, services or public infrastructures. Understanding people’s choice behaviour can not only infer people’s preferences for certain products or services but more importantly make...

Time Use and Travel Behaviour with Automated Vehicles

Automated vehicles (AVs) have been a dream for a long time. From science fiction in the 1930s to countless prototypes, extensive road testing, and first use cases at present, the technology has clearly come a long way. So too has the vision of practitioners and academics matured to recognise the various potential benefits (e.g., accessibility,...

Trustworthy and Explainable Artificial Neural Networks for Choice Behaviour Analysis

For decades, Discrete Choice Models (DCMs) have been used to describe, understand and predict human choice behaviour in a wide variety of contexts including transportation, healthcare and marketing. The field of discrete choice modelling is firmly rooted in economic theory, and most DCMs are based on the assumption that decision-­makers, when...