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Mariana Abrantes Giannotti

Researcher at University of São Paulo

Publications -  60
Citations -  614

Mariana Abrantes Giannotti is an academic researcher from University of São Paulo. The author has contributed to research in topics: Population & Inequality. The author has an hindex of 10, co-authored 55 publications receiving 359 citations.

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An Analysis of Geospatial Technologies for Risk and Natural Disaster Management

TL;DR: The potential involvement of citizens in the risk and disaster management process by providing voluntary data collected from volunteered geographic information applications is explored and a model relating all of the spatial data-sharing aspects discussed in the article was suggested to elucidate the importance of the issues raised.
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Potential impacts of bike-and-ride on job accessibility and spatial equity in São Paulo, Brazil

TL;DR: In this paper, the authors examined the potential of the bicycle, as an access mode for transit trips, to reduce spatiotemporal inequalities in job accessibility in the megacity of Sao Paulo, Brazil.
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The long road to achieving equity: Job accessibility restrictions and overlapping inequalities in the city of São Paulo

TL;DR: In this paper, the authors examined the inequalities in job accessibility and how it overlaps with socioeconomic indicators, life expectancy and infrastructure conditions, constituting multiple barriers to the most deprived populations.
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Using GPS data to explore speed patterns and temporal fluctuations in urban logistics: The case of São Paulo, Brazil

TL;DR: In this article, the authors leverage GPS data to better understand and characterize urban logistics from a broader, city-wide perspective as well as from the perspective of a single corporate logistics system.
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Flooding and inundation collaborative mapping – use of the Crowdmap/Ushahidi platform in the city of Sao Paulo, Brazil

TL;DR: The results of the questionnaire, applied to evaluate the system, demonstrated the public utility of the application and the interest of the population for a dynamic system that enables the exchange of information on the problem of inundation and flooding in near real time in the city of Sao Paulo.