Solidarity in EV charging: A discrete choice experiment to assess interest in charging schemes

Currently, the electricity grid in the Netherlands is reaching its capacity, resulting in congestion issues. One of the factors that causes the electricity grid to become overloaded is the increasing use of EVs (electric vehicles). A situation in which a large number of EV users in a certain area charge their EV at the same time can...

What do pedestrians consider when choosing a route?: The role of safety, security, and attractiveness perceptions and the built environment during day and night walking

Increasing the use of non-motorized modes of transport, such as walking, is a worldwide objective aimed at improving the sustainability of cities. However, pedestrians may not choose to walk if the infrastructure fails to meet their needs or if they hold unfavourable perceptions regarding the built environment (BE). The current study aims to...

Give and take: Moral aspects of travelers' intentions to participate in a hypothetical established social routing scheme

Social routing schemes are widely regarded as promising tools to reduce traffic congestion in urban networks. We contribute to the growing literature on such schemes and their effect on travel behavior, by exploring the interaction between the characteristics and framing of the scheme on the one hand, and travelers' moral personality and moral...

Automation of expert decisions in delayed line haul deliveries: an application of the Behavioural Artificial Intelligence Technology

Making decisions regarding delayed line haul transport is a very demanding and complex process in E-commerce distribution centres. Automating this process can decrease decision-maker discussion and assessment time and, as a result, allow decision-makers to spend more time on other demanding tasks like sorting and distributing. Automation in this...

Why did you predict that? Towards explainable artificial neural networks for travel demand analysis

Artificial Neural Networks (ANNs) are rapidly gaining popularity in transportation research in general and travel demand analysis in particular. While ANNs typically outperform conventional methods in terms of predictive performance, they suffer from limited explainability. That is, it is very difficult to assess whether or not particular...

Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income

Overweight and obesity are a growing problem, especially among people with a low income. Policymakers aspire to alleviate this problem by implementing publicly funded projects. This study has three aims: 1) to explore citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income, 2...

Computer Says I Don’t Know: An Empirical Approach to Capture Moral Uncertainty in Artificial Intelligence

As AI Systems become increasingly autonomous, they are expected to engage in decision-making processes that have moral implications. In this research we integrate theoretical and empirical lines of thought to address the matters of moral reasoning and moral uncertainty in AI Systems. We reconceptualize the metanormative framework for decision...

A Revealed Preference Methodology to Evaluate Regret Minimization with Challenging Choice Sets: A Wildfire Evacuation Case Study

Regret is often experienced for difficult, important, and accountable choices. Consequently, we hypothesize that random regret minimization (RRM) may better describe evacuation behavior than traditional random utility maximization (RUM). However, in many travel related contexts, such as evacuation departure timing, specifying choice sets can...

The experienced mode choice set and its determinants: Commuting trips in the Netherlands

Active modes take up an increasingly important place on the global policy-making agenda. In the Netherlands, a country that is well-known for its high shares of walking and cycling, the government aims at achieving a modal shift among 200,000 commuting car drivers towards using the bicycle. To this end, policy measures need to be introduced....

Unravelling Mode and Route Choice Behaviour of Active Mode Users

Due to increasing urbanisation rates worldwide combined with growing transportation demand, liveability of the urban environment is under pressure (UN, 2018). In response, many governments worldwide have set goals for increasing the share of trips made using sustainable modes of transport, such as walking and cycling. The use of active modes (i...

Welfare analysis of discrete choices based on a direct utility function

Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the analysis and prediction of individual’s transportation choices as well as the computation of welfare and willingness to pay (WTP) metrics for economic appraisal. In this paper, I develop an approach which enables the derivation of welfare and...

The Best Choice: Translating consumers’ choices for inner city shopping centres

The master thesis goes into measuring real life choice consumers make when choosing an inner city shopping centre. The preferences of over 600 consumers in The Netherlands and Germany have been measured using a discrete choice method. To improve the knowledge within the research method used, two different layouts were used to measure consumers'...

A new model of Random Regret Minimization

A new choice model is derived, rooted in the framework of Random Regret Minimization (RRM). The proposed model postulates that when choosing, people anticipate and aim to minimize regret. Whereas previous regret-based discrete choice-models assume that regret is experienced with respect to only the best of foregone alternatives, the proposed...