Experiences and challenges of using mobile application data for urban mobility.
Urban mobility planning is included in a global scenario of increasing use of massive data to support decision making. However, many local governments do not have a structure that produces the data necessary to base their strategic projections. At the same time, private companies - such as Waze and...
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Universidad Católica de Colombia
2020
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oai:editorial.ucatolica.edu.co:article-30392021-05-19T20:46:39Z Experiences and challenges of using mobile application data for urban mobility. Experiencias y retos del uso de datos de aplicaciones móviles para la movilidad urbana. Sabino, Anna-Beatriz Reis-Martins, Pedro Carranza-Infante, Mauricio mobility apps big data collaborative traffic management smart mobility traffic planning urban planification transport smart cities apps de movilidad big data gestión de tráfico colaborativo movilidad inteligente planificación del tránsito planificación urbana smart cities transporte Urban mobility planning is included in a global scenario of increasing use of massive data to support decision making. However, many local governments do not have a structure that produces the data necessary to base their strategic projections. At the same time, private companies - such as Waze and Moovit (mobile application mobility managers) - have the ability to produce this data and, in addition, have demonstrated their availability to share them and thus improve planning conditions in cities. Nevertheless, managing this data and using it for the benefit of better urban planning and management is not a simple task. In South America, Rio de Janeiro, Sao Paulo and Medellín have overcome important obstacles in this trajectory and became examples of innovation in the use of data. Based on the experience of these cities - and on surveys conducted with representatives of mobile apps companies and governments -, this article proposes a three-level model for the use of data for the benefit of urban mobility management and planning. The proposed model is in its initial stage and aims to draw parameters that help cities to develop a vision regarding the potential of data to generate actions and public policies of urban mobility. La planeación de la movilidad urbana requiere utilización de datos masivos para apoyar la toma de decisiones y realizar proyecciones estratégicas, es así como muchos gobiernos locales no poseen la capacidad para generar los datos necesarios. Sin embargo, empresas privadas como Waze Moovit, Stava y Uber (gestores de aplicativos móviles de movilidad) tienen la capacidad de producir estos datos y, además, han demostrado su disponibilidad para compartirlos y así mejorar las condiciones de la planeación de la movilidad en las ciudades. En América del Sur, Rio de Janeiro, Sao Paulo y Medellín, son casos de ciudades que se convirtieron en ejemplos de innovación en el de uso de datos. Con base en la experiencia de estas ciudades y en encuestas aplicadas con representantes de empresas gestoras de Apps de movilidad y de gobiernos, en este artículo se propone un modelo de tres niveles para el uso de datos en beneficio de la gestión y planeación de la movilidad urbana. El modelo propuesto tiene como objetivo trazar parámetros que ayuden a las ciudades a desarrollar una visión en cuanto al potencial de los datos para generar acciones y políticas públicas de movilidad urbana. Universidad Católica de Colombia 2020-01-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion text/html application/pdf text/xml https://revistadearquitectura.ucatolica.edu.co/article/view/3039 10.14718/RevArq.2020.3039 Revista de Arquitectura; Vol. 22 No. 1 (2020): January - June; 82-93 Revista de Arquitectura (Bogotá); Vol. 22 Núm. 1 (2020): Enero - junio; 82-93 Revista de Arquitectura; Vol. 22 No. 1 (2020): Janvier - Juin; 82-93 Revista de Arquitectura; v. 22 n. 1 (2020): Janeiro – junho; 82-93 2357-626X 1657-0308 spa https://revistadearquitectura.ucatolica.edu.co/article/view/3039/2991 https://revistadearquitectura.ucatolica.edu.co/article/view/3039/3291 https://revistadearquitectura.ucatolica.edu.co/article/view/3039/3690 Derechos de autor 2019 Anna-Beatriz Sabino info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0 |
| institution |
Universidad Católica de Colombia |
| collection |
OJS |
| language |
spa |
| format |
Online |
| author |
Sabino, Anna-Beatriz Reis-Martins, Pedro Carranza-Infante, Mauricio |
| spellingShingle |
Sabino, Anna-Beatriz Reis-Martins, Pedro Carranza-Infante, Mauricio Experiences and challenges of using mobile application data for urban mobility. |
| author_facet |
Sabino, Anna-Beatriz Reis-Martins, Pedro Carranza-Infante, Mauricio |
| author_sort |
Sabino, Anna-Beatriz |
| title |
Experiences and challenges of using mobile application data for urban mobility. |
| title_short |
Experiences and challenges of using mobile application data for urban mobility. |
| title_full |
Experiences and challenges of using mobile application data for urban mobility. |
| title_fullStr |
Experiences and challenges of using mobile application data for urban mobility. |
| title_full_unstemmed |
Experiences and challenges of using mobile application data for urban mobility. |
| title_sort |
experiences and challenges of using mobile application data for urban mobility. |
| description |
Urban mobility planning is included in a global scenario of increasing use of massive data to support decision making. However, many local governments do not have a structure that produces the data necessary to base their strategic projections. At the same time, private companies - such as Waze and Moovit (mobile application mobility managers) - have the ability to produce this data and, in addition, have demonstrated their availability to share them and thus improve planning conditions in cities. Nevertheless, managing this data and using it for the benefit of better urban planning and management is not a simple task. In South America, Rio de Janeiro, Sao Paulo and Medellín have overcome important obstacles in this trajectory and became examples of innovation in the use of data. Based on the experience of these cities - and on surveys conducted with representatives of mobile apps companies and governments -, this article proposes a three-level model for the use of data for the benefit of urban mobility management and planning. The proposed model is in its initial stage and aims to draw parameters that help cities to develop a vision regarding the potential of data to generate actions and public policies of urban mobility. |
| publisher |
Universidad Católica de Colombia |
| publishDate |
2020 |
| url |
https://revistadearquitectura.ucatolica.edu.co/article/view/3039 |
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