An Application for Urban Analytics

Files
STEINICHEN-UNDERGRADUATERESEARCHOPTIONTHESIS-2021.pdf (878.52 KB)
Author(s)
Steinichen, Charlotte Jane
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Organizational Unit
School of Computer Science
School established in 2007
Organizational Unit
Organizational Unit
Organizational Unit
Series
Series
Collections
Undergraduate Scholarship
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/66269
Abstract
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.
Sponsor
Date
2021-12
Extent
Resource Type
Text
Resource Subtype
Undergraduate Thesis
Rights Statement
Rights URI