Spatial analysis of crowdsourced data: Blockchain solutions

This thesis aims to develop and implement blockchain-based solutions for the spatial analysis of crowdsourced data and the management of this data in smart cities. The thesis aims to propose an innovative and sustainable model that can be integrated into urban information systems by utilizing the secure, transparent and traceable structure of blockchain technology. Through this model, it is aimed to increase the positive contribution of citizens to urban life by establishing a reward system structure. The usability and effectiveness of the blockchain-based model developed within the scope of the thesis will be analyzed through case studies in different sectors and geographical regions. In the last part of the thesis, the results of the studies will be summarized and recommendations will be presented for the future development and dissemination of blockchain-based spatial analysis solutions. This thesis aims to make a scientific and practical contribution to the spatial analysis of crowdsourced data and the effective use of blockchain technology in smart cities.