A Review of Climate and Resident-Oriented Renovation Processes: A Framework for Just Decision Support Systems

The renovation of existing buildings is widely recognized as a powerful strategy for reducing emissions and land use. However, when it comes to residential buildings, the socio-technical challenges are particularly complex. The necessity and urgency of increasing energy efficiency often lead to retrofit processes that overlook residents’ needs...

From collective to individual decision-making: barriers and opportunities to improve the success rate of the energy retrofits in the Dutch owner-occupied sector

The building sector can contribute considerably to reducing global greenhouse gas (GHG) emissions. In the Netherlands, the GHG emissions must be mitigated by 95% by 2050 relative to the 1990 baseline. Various factors, such as low renovation rates cause uncertainties in reaching these targets. The current study aims for investigating the barriers...

Get Out of The Way! Examining eHMIs in Critical Driver-Pedestrian Encounters in a Coupled Simulator

Past research suggests that displays on the exterior of the car, known as eHMIs, can be effective in helping pedestrians to make safe crossing decisions. This study examines a new application of eHMIs, namely the provision of directional information in scenarios where the pedestrian is almost hit by a car. In an experiment using a head-mounted...

A Stakeholders Taxonomy for Opening Government Data Decision-Making

Stakeholders can have different views on the opening of data, and conflicts may arise between them. Several causes of disputes may arise during the decision-making process due to the diverse objectives, interests, and needs among the stakeholders that perceive their desires. Yet, no stakeholder taxonomy exists to guide this decision-making...

Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs

Open government data initiatives are part of the endeavor process of governments to show that they are accountable and transparent organizations. Opening more datasets to external data analytics providers or other government organizations holds the potential to help governments to improve their processes by promoting a better understanding and...

Stakeholder tensions in decision-making for opening government data

Various types of stakeholders are often involved in the process of deciding to open data. However, the influence of multiple–actors on the decision-making process is ill-understood. Stakeholders play different roles and have different interests in opening and analyzing datasets. The objective of this paper is to understand the influence of...

The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning

Recent years have seen the application of deep reinforcement learning techniques to cooperative multi-agent systems, with great empirical success. In this work, we empirically investigate the representational power of various network architectures on a series of one-shot games. Despite their simplicity, these games capture many of the crucial...

A Comparative Study of Methods for Deciding to Open Data

Governments may have their own business processes to decide to open data, which might be supported by decision-making tools. At the same time, analyzing potential benefits, costs, risks, and other effects-adverse of disclosing data are challenging. In the literature, there are various methods to analyze the potential advantages and...

Exploring Shared Situational Awareness in Supply Chain Disruptions

Risk and volatility in the form of political issues, natural disasters, terrorism etc., are impending dangers to the normal functioning of today’s world. Supply Chains (SCs) are the backbone to societal functions and are heavily affected when such events occur. SC professionals have limited preparedness to deal with disruptions. Shared...