Preference-Based Decision Support for Quay Wall Assessment: Determining the preferred configuration of structural adjustments using the optimisation method of Preferendus

In response to the European Commission's initiative to shift freight transport from road to inland waterways, there is a need to expand the capacity of inland ports to accommodate larger cargo ships. This expansion requires lowering the water bottom, which will increase the forces exerted on the quay walls. The quay walls should therefore be...

Policy platforms as support tools for climate change mitigation and adaptation policymaking: A case study of policymakers and policy advisors’ perceptions of policy platforms as support tools and how to improve their design and use

Multiple challenges affect the effectiveness of climate change mitigation and adaptation measures, such as accountability, intergenerational justice and developing countries’ increased participation in greenhouse gas emissions. The high complexity of information surrounding models’ assumptions, results, and scenarios related...

Design of a waterborne construction logistics system for quay wall renovations in Amsterdam

In the upcoming years the Municipality of Amsterdam has to cope with renovation works to approximately 200 kilometers of quay walls and 800 bridges. These projects need to be executed in the least burdensome manner, which is why executing parties are obliged to perform their construction logistics via waterways instead of the road. Stakeholders...

Individual Prediction Modelling for Air Traffic Control using Supervised Learning

In the future, Air Traffic Controllers are expected to work together with more advanced computer-based automation that can automatically take action. The main challenge is then how to design computer-based tools such that they foster acceptance among air traffic controllers. One possible approach to foster acceptance is by matching the automated...

Self-Organization in Intra-Logistics: An Intuitive Modelling Approach to Study Emergent Behaviour

Intralogistics is a crucial part of the supply chain and is continuously influenced by the drivers such as globalisation, mass customisation, and shorter product life cycles. The challenges brought about by the pandemic have accelerated the ’shifting pattern’ towards automation in transport & logistics. With the push towards higher...

Maritime fuels of the future: A decision support tool for shipowners

This study aims to develop a decision support tool which enables shipowners to select the most appropriate alternative fuel technology to comply with possible different imposed emission regulations while ensuring optimal business performance. In this context, most appropriate is defined as a fuel alternative which minimises required freight rate...

Optimising Grid Topology Reconfiguration using Reinforcement Learning

The de-carbonisation of the energy system, more commonly known as the 'Energy Transition' has a vital role to play in the pursuit of mitigating the climate emergency’s impact. There is a global trend of moving toward making power systems more future-proof and this largely affects the roles and activities of a Transmission System Operator (TSO)...

A Decision Support Tool for Implementing District Heating in Existing Cities, Focusing on Using a Geothermal Source

In the context of climate change mitigation strategies in urban environments and reducing reliance on carbon-based energy sources, the Netherlands is gradually taking steps towards modification of its thermal energy system. Geothermal energy, widely used in agriculture, has recently emerged as a local, clean, and sustainable energy source able...

The effects of upcoming emission regulations on the selection of suitable prime mover combinations for the future harbour/terminal Rotortug: A decision-support tool

Nowadays the interest for environmental issues is steadily gaining ground. Inescapably, the shipping industry, is also called to contribute its fair share towards the reduction of air pollution. Harbour tugboats need to comply both with international but also with local exhaust air emission regulations, which are anticipated to become more...

Game and Choice Based Simulation: The design of a methodological framework using the case of the Physical Internet inspired “Freight Transportation Game”

Serious games have the potential to be used as an innovative data collection method. Combining this with Discrete Choice Modelling (DCM) could create a methodology that provides insight into the player's behaviour and allows for creating a realistic simulation. This innovative Game and Choice Based Simulation (GCBS) methodology has been...

Offshore Wind Farm Installation Planning: Decision-support tool for the analysis of new installation concepts

In order to assist project developers in efficient offshore wind farm installation planning a decision-support tool has been developed. The tool combines Discrete Event Simulation and Black-box Optimization. The focus of the development was on providing the flexibility allowing a user to compare various installation strategies and impact on the...

Quicker Quality Scan: A Multi-Variable Evaluation and Diagnosis Method for Vehicle-Actuated Traffic Signal Controllers

To evaluate traffic signal controllers, and vehicle-actuated traffic signal controllers in particular, in terms of how they are performing with respect to the road authority’s policies on traffic flow and accessibility, traffic safety, and environmental factors, several methods are developed in practice. However, in scientific literature, little...

Low carbon shipping: A decision support tool for the implementation of CO₂ reducing measures

In April 2018, the International Maritime Organization (IMO) agreed upon the target to reduce the CO₂ emissions from international shipping in 2050 by 50 percent with respect to 2008 levels. The strategy to reach this target consists of the ambition to reduce CO₂ emissions per transport work, as an average across...

Facilitating and supporting patients in decision-making about healthcare professionals’ access to their medical data

The transfer of a patient's medical data between healthcare professionals is sometimes needed to take relevant aspects of the patient's health into account to offer fitting care for the specific patient. A patient's medical data is stored in the systems of the different healthcare professionals that treat or have treated the patient, thus...

Effectiveness of methods against rising damp in buildings: Results from the EMERISDA project

Rising damp is a recurrent hazard to ancient buildings in Europe and its relevance is expected to increase in the future, due to climate changes. The presence of rising damp in walls does not only create an unpleasant climate in buildings, but it also enhances damage processes such as frost action, salt crystallization and biological growth,...

Multi-objective project portfolio optimization: Application in railway infrastructure networks

Investment projects in railway infrastructure networks are needed to maintain a high condition of the network, maximize the capacity of the network, and to keep the risk low. Railway organizations are aiming to achieve these goals, but also want to minimize the costs of the investments. The desires of stakeholders in railway networks such as the...

Deterministic vessel motion prediction based on a wave radar forecast

A new development aiming to improve the safety and/or operability of offshore operations is deterministic motion forecasting. Various parties target at developing a radar which is able to detect wave trains. This deterministic wave forecast can be used to forecast vessel motions up to several minutes ahead. With such a forecast a quiescent...

Collaborative Servitization: Designing a decision support model for matching asset owners and manufacturers to enact collaborative servitization in the Dutch maritime industry