Analysis of travel demand variability based on social media data: a case study in the city of Fortaleza

Understanding the variability in citizens' travel behavior within a city is essential for comprehending urban mobility. However, obtaining daily data on these journeys through traditional methods expensive. Although alternative methods, such as using social media data, are widely employed academic community, they have contributed little due to low representativeness of and lack efforts understand user behavior. This study fills this gap by analyzing Fortaleza from platforms like Instagram Twitter. Employing empirical parametric statistical techniques, box plots tests (ANOVA, Kruskal-Wallis, Tukey), hypotheses based literature review analysis were validated. The results revealed patterns similar those observed life also yielded unexpected conclusions about phenomenon. Despite limitations regarding representativeness, important insights obtained understanding Fortaleza.