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 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 th...

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Autores principales: Aurore Sallard, Miloš Balać, Sebastian Hörl
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/d316da0be0154ba3ac9a82baa335fbb3
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