An open data-driven approach for travel demand synthesis: an application to São Paulo. Issue 1 (1st January 2021)

• Record Type: Journal Article
• Authors: Sallard, Aurore; Balać, Miloš; Hörl, Sebastian
• Is Part Of: Regional studies, regional science. Volume 8:Issue 1(2021)
• Page Start: 371
• Page End: 386
• Publication Date: 2021-01-01
• Subjects: transport simulation -- agent-based models -- transport scenario -- eqasim -- São Paulo; O18 -- R41 -- R42; Regional planning -- Periodicals; Regional economics -- Periodicals; Regional economics; Regional planning; Periodicals; 300
• DOI: 10.1080/21681376.2021.1968941
• Languages: English
• ISSNs: 2168-1376

Abstract

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