Riding the wave : predicting the use of the bike-sharing system in Barcelona before and during COVID-19
Federo, Ryan (Universitat de les Illes Balears)
Bustamante, Xavier (Universitat Politècnica de Catalunya)
Fernández-i-Marin, Xavier (Universitat de Barcelona)

Fecha:	2022
Resumen:	To simultaneously promote health, economic, and environmental sustainability, a number of cities worldwide have established bike-sharing systems (BSS) that complement the conventional public transport systems. As the rapid spread of COVID-19 becoming a global pandemic disrupted urban mobility due to government-imposed lockdowns and the heightened fear of infection in crowded spaces, populations were increasingly less likely to use public transportation and instead shifted toward alternative transport systems, including BSS. In this study, we use probabilistic machine learning in a quasi-experimental research design to identify how the relevance of a comprehensive set of factors to predict the use of Bicing (the BSS in Barcelona) may have changed as COVID-19 unfolded. We unpack the key factors in predicting the use of Bicing, uncovering evidence of increasing bike-related built infrastructure (e. g. , tactical urbanism), trip distance, and the income levels of neighborhoods as the most relevant predictors. Moreover, we find that the relevance of the factors in predicting Bicing usage has generally decreased during the global pandemic, suggesting altered societal behavior. Our study enhances the understanding of BSS and societal behavior, which can have important implications for developing resilient programs for cities to adopt sustainable practices through transport policy, infrastructure planning, and urban development.
Ayudas:	Agencia Estatal de Investigación PID2020-115982RB-C21
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Bike-sharing system ; Bicing Barcelona ; COVID-19 ; Probabilistic machine learning ; Quasi-experimental research ; Sustainability ; Tactical urbanism
Publicado en:	Sustainable Cities and Society, Vol. 83 (2022) , p. 103929, ISSN 2210-6715

DOI: 10.1016/j.scs.2022.103929
PMID: 35535208

16 p, 5.8 MB

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