Kent pratiğinde veri etkisi: Kayseri tramvay ağı okuması

This thesis investigates how data-driven analysis tools can assess and improve urban quality through public transport infrastructure, focusing on the KayseRay light rail system in Kayseri. The study aims to develop a holistic design framework at the human scale by combining GIS-based spatial analyses, crowd flow (CFD) simulations, and passenger data visualizations. At the core of the analysis are three complementary urban characteristics -accessibility, visibility, and vitality- measured using data-driven techniques and supported by spatial and experiential assessments. The four selected stations -Düvenönü, Cumhuriyet Meydanı, Hunat Hatun, and Büyükşehir Belediyesi- are examined in detail, spatial inefficiencies and access gaps are identified, and strategies to address these deficiencies are proposed. The methodological approach combines technical tools with on-site observations to provide a comprehensive view of the interaction of urban mobility systems with the physical environment. Furthermore, data constraints and contextual limitations are addressed, and the importance of local infrastructure and institutional collaboration is emphasized. The findings provide applicable solutions for architects and planners by revealing inefficiencies in pedestrian flow, accessibility gaps, and ways to increase urban vitality. The thesis contributes to both academic literature and practical urban design processes by demonstrating the potential of data-driven methods in creating sustainable, inclusive, and optimized urban environments; thus, bridging the global smart city paradigm with local urban realities and providing a strategic roadmap aligned with the UN Sustainable Development Goals.