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MSc Thesis AMS Institute - Improving social housing using a sea of open data

MADE Student Project

In the challenge of climate change, energetically improving the existing residential buildings offers a way to reduce the CO2 (carbon dioxide) emissions of the built environment. In the Netherlands, housing associations own and maintain almost a third (2.3 million housing units) of the entire Dutch housing stock and could therefore play a significant role in the reduction of CO2 emissions. To come to this reduction, housing associations first have to choose which housing unit they would like to energetically improve, followed by the decision of when and how. In this decision making process, they utilize data they have generated themselves to make an informed decision. However, the role of data that is generated by another person or organization is unclear, and even less clear is the role of open data in this decision making process. Against this background, this thesis explores the role of open data in the decision-making process by housing associations in the energetic improvement of housing units. It studies the approaches housing associations apply in the energetic improvement of housing units, stakeholders of housing associations in the energetic improvement, possibilities and limitations of the available and relevant data to the decision-making process, desirable features of the conventional decision-making support systems and unconventional yet relevant decision-making support systems regarding the energetic improvement by housing associations.

References can be found inside the document.

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