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
Materias:	transport simulation agent-based models transport scenario eqasim são paulo Regional economics. Space in economics HT388 Regional planning HT390-395
Acceso en línea:	https://doaj.org/article/d316da0be0154ba3ac9a82baa335fbb3
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id	oai:doaj.org-article:d316da0be0154ba3ac9a82baa335fbb3
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spelling	oai:doaj.org-article:d316da0be0154ba3ac9a82baa335fbb32021-11-04T15:51:55ZAn open data-driven approach for travel demand synthesis: an application to São Paulo2168-137610.1080/21681376.2021.1968941https://doaj.org/article/d316da0be0154ba3ac9a82baa335fbb32021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/21681376.2021.1968941https://doaj.org/toc/2168-1376This 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.Aurore SallardMiloš BalaćSebastian HörlTaylor & Francis Grouparticletransport simulationagent-based modelstransport scenarioeqasimsão pauloRegional economics. Space in economicsHT388Regional planningHT390-395ENRegional Studies, Regional Science, Vol 8, Iss 1, Pp 371-386 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	transport simulation agent-based models transport scenario eqasim são paulo Regional economics. Space in economics HT388 Regional planning HT390-395
spellingShingle	transport simulation agent-based models transport scenario eqasim são paulo Regional economics. Space in economics HT388 Regional planning HT390-395 Aurore Sallard Miloš Balać Sebastian Hörl An open data-driven approach for travel demand synthesis: an application to São Paulo
description	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.
format	article
author	Aurore Sallard Miloš Balać Sebastian Hörl
author_facet	Aurore Sallard Miloš Balać Sebastian Hörl
author_sort	Aurore Sallard
title	An open data-driven approach for travel demand synthesis: an application to São Paulo
title_short	An open data-driven approach for travel demand synthesis: an application to São Paulo
title_full	An open data-driven approach for travel demand synthesis: an application to São Paulo
title_fullStr	An open data-driven approach for travel demand synthesis: an application to São Paulo
title_full_unstemmed	An open data-driven approach for travel demand synthesis: an application to São Paulo
title_sort	open data-driven approach for travel demand synthesis: an application to são paulo
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/d316da0be0154ba3ac9a82baa335fbb3
work_keys_str_mv	AT auroresallard anopendatadrivenapproachfortraveldemandsynthesisanapplicationtosaopaulo AT milosbalac anopendatadrivenapproachfortraveldemandsynthesisanapplicationtosaopaulo AT sebastianhorl anopendatadrivenapproachfortraveldemandsynthesisanapplicationtosaopaulo AT auroresallard opendatadrivenapproachfortraveldemandsynthesisanapplicationtosaopaulo AT milosbalac opendatadrivenapproachfortraveldemandsynthesisanapplicationtosaopaulo AT sebastianhorl opendatadrivenapproachfortraveldemandsynthesisanapplicationtosaopaulo
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An open data-driven approach for travel demand synthesis: an application to São Paulo

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