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Abstract
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.
Keywords:
References
Avelleda, S. (2018, abril 4). Congreso Internacional Movilidad y Transporte. Obtenido de Congreso Internacional Movilidad y Transporte: https://feriamovilidadytransporte.com/memo/a/1/cf1/sergio-avelleda.pdf
Avelleda, S. (2018). Prácticas Innovadoras en la Planeación del Transporte. Bogotá, Bogotá, Colombia. Obtenido de https://drive.google.com/drive/folders/1JwmxniXw8zohOyyMAuru-1tDXFSaQCKv
Azzone, G. (2018). Big data and public policies: Opportunities and challenges. Statistics and Probability Letters, 116-120. doi: https://doi.org/10.1016/j.spl.2018.02.022
Carranza, M., Montoya, F. G., Valdes, A., Gonzalez, C., Jaramillo, M., & Henao, S. (2018). Asignación Dinámica de Planes Semafóricos como Estrategia de Descongestión Vehicular. Medellín. Recuperado de: https://minas.medellin.unal.edu.co/gruposdeinvestigacion/gaunal/images/imagenes/Eventos/MOVICI_MOYCOT/sesion3/4-Mauricio-Carranza.pdf
Decreto, Nº 58.595 (Prefeitura do Municipio de Sao Paulo 4 de Janeiro de 2019).
DNP. (2019, septiembre). Terridata. Recuperado de: https://terridata.dnp.gov.co/index-app.html#/perfiles/05001
ITDP Brasil. (2019). Uso de dados e evidências para planejamento e gestão da mobilidade urbana - Oficina de troca de experiências. Rio de Janeiro: ITDP Brasil. Recuperado de: http://itdpbrasil.org/wp-content/uploads/2019/04/ITDP_Oficina-MobiliDADOS-2019_v03.pdf
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. Recuperado de: https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Digital/Our%20Insights/Big%20data%20The%20next%20frontier%20for%20innovation/MGI_big_data_exec_summary.ashx
Sandí Meza, V. (2017, junio). Las alianzas público-privadas como elemento de gestión de las ciudades inteligentes. ICAP-Revista Centroamericana de Administración Pública (72), 15-31. DOI: https://doi.org/10.35485/rcap72_1
Mónico, L. S., Alferes, V. R., Castro, P. A., & Parreira, P. M. (2017). A observação participante enquanto metodología de investigação qualitativa. 6ª Congreo Ibero-Americano en Investigación Cualitativa, Vol. 3, (pp. 724-733). Recuperado de: https://proceedings.ciaiq.org/index.php/ciaiq2017/article/download/1447/1404/
Osorio Arjona, J., & García Palomares, J. C. (2017). Nuevas fuentes y retos para el estudio de la movilidad urbana. Cuadernos Geográficos; 56(3), 247-267. Recuperado de: https://revistaseug.ugr.es/index.php/cuadgeo/article/view/5352
Rodríguez, P. (2013 diciembre 16). Smart Mobility: movilidad inteligente en las ciudades. Valencia: Universidad Politecnica de Valencia. Recuperado de: http://www.i-ambiente.es/?q=blogs/smart-mobility-movilidad-inteligente-en-las-ciudades
Vargas, G. T., & Sánchez, J. A. (2002). Métodos de asignación de tránsito en redes regionales de carreteras: dos alternativas de solución. IMT Instituto Mexicano de Transporte. 214. 7-99 Recuperado de: http://worldcat.org/issn/01887297
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