Last Updated: 4-2020
There has been a small decrease in vacancy in real estate in the Netherlands in recent years. However, this vacancy remains a major problem. This research focusses on vacant social real estate, since hardly anything is being done with this vacancy. The vacancy of social real estate expects to increase from 2 million m² to 20 million m² in approximately 10 years. In contrast to this vacancy is the housing shortage in the Netherlands, especially for single households. What if there is a possibility of transforming vacant social real estate into housing? In this way two social problems in the Netherlands are tackled. During the transformation of buildings, it is important to keep the preferences of the end users central. During this research, residents will be the end users for the transformed social real estate. These residents will be divided into target groups and their living preferences will be investigated, to make it able to analyze the social real estate building and determine the suitability of the target groups.
Therefore, the goal of this research is to develop a Decision Support System (DSS) with which the suitability of target groups can be determined for housing in transformed social real estate. This research includes the development of a model-driven DSS consisting of a decision analysis model. The DSS will be structured into four consecutive parts, namely (1) preconditions, (2) living environment, (3) building potential and (4) financial assessment. Each part contributes to the determination of the suitability of the target groups for housing in transformed social real estate. As a result, an accessible and easy to use DSS is developed that provides a global inside into determining the suitability of target groups for transforming social real estate into housing.