The next step of involving pension beneficiaries in SRI policies: A Discrete Choice Modelling Research

In the history of pension funds, the goal of their investment policy was capital growth within a limited investment risk. This goal was part of their fiduciary duty, the legal responsibility to act in the beneficiary's best interest. In recent years, the purpose of pension funds has shifted to aim for long-term social gains in addition to...

"It is just too much hassle!": A stated choice experiment regarding the perception of hassle factors on the decision-making of heat pump adoption by homeowners in the Netherlands

European and Dutch environmental goals prescribe that national emitted CO2 levels need to be reduced. Therefore, the Dutch government chose to transition the whole Dutch residential sector to gas-free living by 2050, to decrease CO2 levels. Homeowners are responsible themselves for adopting a sustainable heating system, where specifically heat...

Engaging the Crowd in Sensing for Smart Mobility: A Discrete Choice Experiment Investigating Users' Preferences in Participatory Sensing Applications

In 2050, it is expected that 70% of the world’s population will live in cities (Jin et al., 2014), leading to increasing congestion in and surrounding cities. This will raise new challenges, requiring more efficient and interactive cities. A novel paradigm contributing to these so-called smart cities is participatory sensing. Also known as...

Transparent Decision Support in ever-changing healthcare contexts: Designing an architecture of a transparent and dynamic Clinical Decision Support System grounded in Discrete Choice Modeling

Every day physicians make choices on clinical treatment that directly influence patients’ well-being. To deal with these critical decisions and avoid treatment errors and costs, physicians show a growing interest in Clinical Decision Support Systems (IDSS). Current CDSSs, however, suffer from limited transparency and flexibility, which gives...

Schedule Rearrangements in the Autonomous Vehicle Era: An Empirical Study

Autonomous vehicles are expected to become an inevitable reality in the coming years, as their uncovered benefits are increasingly proven to be positive, such as increased safety and traffic efficiency. However, their impacts on travel choices have often been represented with an assumed reduction in the travel time penalty, which oversimplified...

Belief dynamics driven by social influence: A social practice-based model of belief adaption driven by intragroup interaction with application to transport mode choices

Agent-based modelling (ABM) is a widespread and commonly used technique for the understanding of social system behaviour. Despite ABM being a commonly used method for the analysis of complex social systems, simulated agents still can best be described as autistic before a specific set of social rules is ascribed to them. This discrepancy leads...

Road-user participation in vehicle-data sharing systems: for the purpose of dynamic traffic management

This study aims to provide insight into how factors relating to privacy and incentives influence people's willingness to participate in sharing their vehicle based sensing data with governmental parties for the purposes of improved dynamic traffic management in the Netherlands. Through the use of a stated preference experiment data is gathered...

Mobility-as-a-Service: Exploring Consumer Preferences for MaaS Subscription Packages Using a Stated Choice Experiment

While urbanisation has increased and more efficient means of mobility are required, consumers are decreasingly interested in owning cars. One solution to meet people's mobility needs is to provide mobility as a service (MaaS). This study looks into consumers’ preferences on monthly MaaS packages and tries to identify the most important factors...