Urban mobility is shaped by street networks. In urban contexts street networks dictate how people move and interact with the city, and are fundamental for urban planning. This project comprises the ideation of an automated methodology for the extraction and processing of street networks using the crowd-sourced database OpenStreetMap, and the calculation of graph-based metrics and mobility indexes based on the street network. Those calculations will be stored in a database and used in conjunction of a WebGIS that will allow users to find similar cities based on their street networks. Sumarizing, the project encompases the creation of an extraction, preprocessing, and metric calculation pipeline, and the development of a WebGIS that allows the comparison of cities based on street network metrics.
Languages: JavaScript, Python.
Suggested: Graph theory, WebGIS development, Relational databases