The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

Abstract

Olympic Games have a huge impact on the cities where they are held, both during the actual celebration of the event and before and after it. This study presents a new approach based on spatial analysis, GIS, and data coming from Location Based Social Networks to model the spatiotemporal dimension of impacts associated with the Rio 2016 Olympic Games. Geolocalized data from Twitter are used to analyze the activity pattern of users from two different viewpoints. The first monitors the activity of Twitter users during the event -the arrival of visitors, where they came from, and the use resident and tourist made of different areas of the city. The second assesses the spatiotemporal use of the city by Twitter users before the event, compared to the use during and after the event. The results not only reveal which spaces were the most used while the Games were being held but also changes in the urban dynamics after the Games. Both approaches can be used to assess the impacts of mega-events and to improve the management and allocation of urban resources such as transport and public services infrastructure.

El sistema médico de emergencias de Madrid a prueba: análisis del rendimiento espaciotemporal del SAMUR-PC en los primeros meses de la nueva normalidad postCOVID-19

“…Se han elegido hexágonos frente a otras figuras geométricas porque ofrecen las siguientes ventajas: la distancia entre el centroide de un hexágono y los centroides vecinos es la misma en todas las direcciones, todos los hexágonos vecinos tienen la misma relación espacial con el hexágono central, su forma más suavizada ayuda a visualizar mejor los cambios espaciales graduales (McKenzie, 2022). Además, diversos autores han utilizado los hexágonos para la agregación de datos puntuales y su análisis espacio temporal (Arias-Molinares et al, 2021;Condeço-Melhorado et al, 2020;García-Palomares et al, 2015). Por otro lado, para la elección de la dimensión de los lados de los hexágonos, se ha elegido 400 metros, siguiendo la metodología empleada por Barros et al (2019).…”