Data-driven analysis of the impact of COVID-19 on Madrid's public transport during each phase of the pandemic

• DOI: 10.1016/j.cities.2022.103723
• Publication Date: 2022-05-02T06:11:28Z
• Authors: Rubén Fernández Pozo; Mark Richard Wilby; Juan José Vinagre...; Ana Belén Rodrígu...
• Keywords: Pandemic; Ticket

COVID-19 has become a major global issue with large social-economic and health impacts, which led to important changes in people's behavior. One of these affected the way people use public transport. In this work we present data-driven analysis impact on transport demand Community Madrid, Spain, using data from ticket validations between February September 2020. This period time covers all stages pandemic including de-escalation phases. We find that ridership dramatically decreased by 95% at peak, recovering very slowly reaching only half its pre-pandemic levels end September. analyze results for different modes, types, groups users. Our corroborates low-income are most reliant transportation, thus observing significantly lower decreases their during pandemic. paper also shows average daily patterns transit each phase Madrid. All findings provide relevant information agencies design responses an emergence situation like pandemic, contributing extend knowledge about comparing other cities worldwide.