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This blog posts delves into the mobility data and trip hop movement patterns for one of the largest metropolitan regions in Brazil.
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CITYDATA holds fresh, accurate, anonymized, crowdsourced mobility data for 1569 cities and metropolitan areas on a global scale.
With the changes in people-behaviors due to COVID-19, urban planners, transportation agencies, municipal leaders, and academic researchers are in need of a reliable baseline for measuring the variations in mobility patterns over time.
In Brazil, the Greater Rio de Janeiro metropolitan area stretches across 22 contiguous municipalities, host 13.01 million inhabitants, making it the third largest metropolitan mega region in the Americas.
CITYDATA curates daily mobility patterns for approximately 6.89 million devices in the Greater Rio metro. September tends to be the preferred month for baselining mobility data. To that end, we have computed the mobility trip hops for the Greater Rio metro for the month of September. The video at the below link shows the mobility patterns for 5000 devices and 871083 trip hops, visualized with a time series animation.
Reach out to us if you'd like to access the mobility datasets with trip hops for any of the top 100 cities and metro areas in Brazil, Argentina, Colombia, Chile, Peru, or Mexico. Our mobility patterns are available for all cities, districts, states, and countries in the LATAM region.
Portuguese
CITYDATA contém dados de mobilidade atualizados, precisos, anônimos e obtidos em massa para 1569 cidades e áreas metropolitanas em uma escala global.
Com as mudanças no comportamento das pessoas devido ao COVID-19, urbanistas, agências de transporte, líderes municipais e pesquisadores acadêmicos precisam de uma linha de base confiável para medir as variações nos padrões de mobilidade ao longo do tempo.
No Brasil, a região metropolitana da Grande Rio de Janeiro se estende por 22 municípios próximos, abrigando 13,01 milhões de habitantes, tornando-se a terceira maior mega região metropolitana das Américas.
CITYDATA faz a curadoria de padrões de mobilidade diários para aproximadamente 6,89 milhões de dispositivos na Grande Rio. Setembro tende a ser o mês preferido para a linha de base dos dados de mobilidade. Para tanto, calculamos os saltos da viagem de mobilidade para o metrô da Grande Rio para o mês de Setembro. O vídeo no link abaixo mostra os padrões de mobilidade para 5000 dispositivos e 871083 viagens, visualizados com uma animação de série temporal.
Entre em contato conosco se desejar acessar os conjuntos de dados de mobilidade com saltos de viagem para qualquer uma das 100 principais cidades e áreas metropolitanas do Brasil, Argentina, Colômbia, Chile, Peru ou México. Nossos padrões de mobilidade estão disponíveis para todas as cidades, distritos, estados e países da região LATAM.
About CITYDATA.ai
CITYDATA.ai provides pattern-of-life mobility data + Ai for smart cities. CITYDATA knows the answers to the questions “how many people are in your city today” and “what are their movement patterns?”.
CITYDATA offers five main data-as-a-service products:
- CITYDASH: on-demand daily mobility insights for global cities across 60 countries
- CITYCHAT: mobile chatbot platform for citizen engagement and data sharing
- CITYFLOW: fleet tracking solution for cities, transportation and enterprise businesses
- CITYWORKS: mobile workforce management solution for cities and businesses
- CITYSDK: an embeddable component for cities to use in their mobile apps
Founded in 2020 in San Francisco, California, CITYDATA provides fresh, accurate, daily insights that are essential for smart city programs, economic development, urban planning, mobility and transportation, tourism, disaster impact analysis, sustainability and resilience.
You can reach the company via email at business@citydata.ai if you’d like to discuss your data needs and use cases. You can also follow the company on Linkedin, Twitter, Facebook, YouTube, and the UniverCity.ai blog to stay updated on the newest innovations in mobility data + Ai.