This report presents my graduation research toward a BOLD-driven method which uses the triangle relationship between the project developer, transportation and Big Open Linked Data in the process of monitoring and implementing ambitions for residential project developments. The research is conducted for my graduation at the Technical University of Delft, within the Faculty of Architecture, Urbanism and Building Sciences of the Master Track Management in the Built Environment. It is intriguing how massive the amount of available data and different data sources is nowadays. The amount and, more important, the quality of this data increases rapidly. While big data already seems to be a hot topic for businesses, this data is currently not (often) used or implemented correctly within the built environment. This research shows how (big) data-analytics can influence residential project developments and issues concerning transportation within the city. The key points of the ambitions regarding transportation of the municipality of Amsterdam are ambiguous since it is not clearly stated what the city defines as a solution for the mobility issues. Project development could be useful for implementing the ambitions since project developments change (small) parts of the city. Nonetheless, transportation does not seem to be a very important topic in the development brief. It is furthermore not analysed what impact new developments have on transportation. Therefore a BOLD-driven method is needed to make the transportation issues more tangible. Within this research the main question is stated as follows:How can the triangle relation between project development, transportation and Big Open Linked Data be used in the process of monitoring and implementing ambitions for residential project developments? This research is conducted from the point of view of the project developer. The goal is to give a better understanding of how project developers could make use of the BOLD-driven method in a new residential project development. The answer could stimulate project developers to manage, classify and structure Big Open Linked Data in such a way BOLD can contribute to new projects. This research is an explorative research on the topics of BOLD, transportation and project development.