Condeço-Melhorado, A.; Mohino, I.; Moya-Gómez, B.; García-Palomares, J.C. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. Sustainability2020, 12, 7003.
Condeço-Melhorado, A.; Mohino, I.; Moya-Gómez, B.; García-Palomares, J.C. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. Sustainability 2020, 12, 7003.
Condeço-Melhorado, A.; Mohino, I.; Moya-Gómez, B.; García-Palomares, J.C. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. Sustainability2020, 12, 7003.
Condeço-Melhorado, A.; Mohino, I.; Moya-Gómez, B.; García-Palomares, J.C. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. Sustainability 2020, 12, 7003.
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.
Keywords
Twitter; Spatiotemporal analysis; Mega-events; Olympic Games
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
