Akademik Veri Yönetim Sistemi
Spatial Information Research, cilt.33, sa.2, 2025 (ESCI)
The emergence and rapid development of large language models (LLMs) has changed the way we interact with information and solve complex problems. The aim of this study is to explore how an urban analysis tool can be created and used effectively with the aid of a large language model. By focusing on this objective, we highlight both the potential and the limitations of ChatGPT. Using GPT-3.5 Turbo, one of the popular AI-powered Large Language Models, we built "StreetRose 0.0.1", a Python-based application. OpenStreetMap was used as a data source. The development process followed the steps of data collection, software development, analysis and visualisation. The resulting tool, StreetRose, visualises street trends in settlements and provides insights into street network analysis. This study provides an example of the use of ChatGPT in urban studies and discusses its advantages and disadvantages. In addition, the tool provides practical information and visualisations that can help researchers interested in settlements and serve as a valuable asset for urban planning and street network analysis. The results show that there are areas for improvement and shortcomings that need to be addressed, although ChatGPT significantly speeds up the coding process. The study also highlights the transformative impact of LLMs on urban analysis and sets an example for future applications in this field.