Análisis de tweets como fuente de información para mejorar las estrategias de prevención en siniestros de tránsito en Quito

Abstract

Road crashes are a serious problem that causes injuries and permanent disabilities, as well as the death of millions of people around the world every year. Studies have shown that social networks are a source of information, especially Twitter. By extracting data provided by tweets such as user, location, date, numbers of injured and dead. In this work we proposed to analyze tweets as a source of information to improve prevention strategies in traffic crashes in Quito, applying two methodologies, observational to collect and analyze existing information in tweets; and descriptive in which will serve to describe and analyze patterns, trends and locations of traffic crashes. It is found that the highest incidence of traffic accidents occurs on Avenida Simón Bolívar, being this the main street with more injuries and deaths reported on the Twitter platform. This finding highlights the importance of implementing road safety measures on this road in order to reduce the number of traffic accidents in Quito.