Impacts of the COVID-19 pandemic in the demand for urban transportation in Budapest

A systematic review of the impacts of the coronavirus crisis on urban transport: Key lessons learned and prospects for future cities

“…Also, Fazio et al (2021) used agent-based models to simulate the spread of COVID-19 under different mobility restriction scenarios. Other publications used statistical methods to analyze ridership and traveler's behaviors such as linear and spatial regression to find factors affecting transit ridership during COVID-19 ( Ahangari, Chavis, & Jeihani, 2020 ; de Souza & Mátrai, 2022 ; Fissinger, 2020 ). Descriptive statistics as well as Mann-Whitney U tests and Ordinary Least Square (OLS) regression analyses were also used in other studies to analyze the impacts of COVID-19 on bike sharing and subways ( Teixeira & Lopes, 2020 ).…”