An open data-driven approach for travel demand synthesis: an application to São Paulo

This paper presents a synthetic travel demand for the Greater São Paulo Metropolitan Region of Brazil, entirely based on open data and representative observed demand. The open-source extendable pipeline creates path from raw to and, further, downstream agent-based mobility simulation. An advantage this approach is that it enables reproduction therefore, provides foundation repeatability studies. Furthermore, as methodology data, study’s outcomes are easily accessible broad research practice-oriented community.