Impact of COVID-19 lockdown on the behavior change of cyclists in Lisbon, using multinomial logit regression analysis

Miguel Costa; Rosa Félix; Manuel Marques; Filipe Moura

Key information

Authors:

Miguel Costa (Miguel Nobre da Costa); Rosa Félix (Rosa Melo Félix); Manuel Marques (Manuel Marques); Filipe Moura (Filipe Manuel Mercier Vilaça e Moura)

Published in

June 2022

Abstract

The 2019 novel coronavirus outbreak hit most countries and cities globally, dramatically impacting how people live during lockdown periods. Compulsorily, socioeconomic activities and mobility patterns changed while long-lasting structural changes might remain. Focusing on this very particular liminal event, this paper aims to present and analyze the impact of the SARS-CoV-2 virus lockdown on the behavior change of cyclists and previously non-cyclists in Lisbon, Portugal, knowing that no concomitant interventions occurred in the cycling environment during the period analyzed (e.g., pop-up interventions). From a 1-min questionnaire in 5 locations in Lisbon’s existing cycling lanes, we aimed to collect (n = 493) revealed preferences on cycling frequency before and after the lockdown, which we used to calibrate a weighted multinomial logit model to analyze respondents’ probability of increasing, maintaining, or decreasing their cycling frequency. Results suggest that people tended to cycle more often after the lockdown than before. For every five cyclists, two cycled more frequently while two others maintained their cycling frequency. Most cycling trips were recreational or to exercise, and these increased after the lockdown, while trips for work and school decreased, as expected. Moreover, the lower the individuals’ cycling frequency levels before the lockdown, the more they cycled after it. Our study diagnoses the impact of the lockdown on cycling habits, indicating an overall propensity to cycling more by the Lisbon citizens. Hence, authorities need to act and make quick infrastructural changes (e.g., pop-up cycling lanes) and encourage the population to use more bikes (e.g., financial incentives for bike purchases).