Crowdedness information and travel decisions of pedestrians and public transport users in the COVID-19 era: A stated preference analysis

The COVID-19 pandemic has impacted people's everyday lives, as avoiding being in crowded places became the number one societal rule. Crowdedness has therefore increasingly affected decisions such as a place visit via a specific path, the selection of a public transport stop, itinerary, etc., thereby making related information increasingly...

Towards machine learning for moral choice analysis in health economics: A literature review and research agenda

Background: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous model outcomes and misguided policy recommendations, as only some characteristics of moral decision-making are considered. Machine learning (ML) is recently gaining interest in the field of discrete choice modelling. This paper explores the...

Moral rhetoric in discrete choice models: a Natural Language Processing approach

This paper proposes a new method to combine choice- and text data to infer moral motivations from people’s actions. To do this, we rely on moral rhetoric, in other words, extracting moral values from verbal expressions with Natural Language Processing techniques. We use moral rhetoric based on a well-established moral, psychological theory...

CHAIRS: A choice-based air transport simulator applied to airline competition and revenue management

In Revenue Management (RM) systems, information censoring and the interaction between the forecasting and optimization stages, increases the costs and complexity of performance analysis using historical data. An affordable and suitable alternative is using simulations, but appropriate behavioral models must be considered. In the following...

Cyclists in Motion: from data collection to behavioural models

As the title suggests, cyclists are the main topic of this dissertation<br/>and more specifically, their behaviour while they are ‘in motion’. The<br/>term ‘in motion’ is used in the title to represent microscopic operational<br/>cycling behaviour, which is the behaviour of cyclists, treated as individuals<br/>(microscopic level), while they are...

Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys

Endogeneity arises in discrete choice models due to several factors and results in inconsistent estimates of the model parameters. In adaptive choice contexts such as choice-based recommender systems and adaptive stated preferences (ASP) surveys, endogeneity is expected because the attributes presented to an individual in a specific menu (or...

Secure or usable computers? Revealing employees’ perceptions and trade-offs by means of a discrete choice experiment

It is often suggested in the literature that employees regard technical security measures (TSMs) as user-unfriendly, indicating a trade-off between security and usability. However, there is little empirical evidence of such a trade-off, nor about the strength of the associated negative correlation and the importance employees attach to both...