(Georgia Institute of Technology, 2021-12)
Steinichen, Charlotte Jane
The objective of this research was to develop a new, data-based methodology for analyzing urban environments. By combining graph-based street network data with socioeconomic data scraped from open sources such as Google Places and Foursquare, the application designed for this study provides a quantitative understanding of the urban landscape surrounding stadium projects. The application has been shown to be flexible and can be applied to urban environments across the globe. As a result, this study is a promising first step towards a comprehensive, data-based urban model that can be used to assist place-making professionals both in understanding existing urban development and in siting new projects.