ArticleTransportation research. Part A, Policy and practice2022
Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic.
Article in Transportation research. Part A, Policy and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multi-dimensional impact of COVID-19 on active mobility in urban China: a scoping review of empirical knowledge.Frontiers in public health · 2024Article
- Impacts of the COVID-19 pandemic on the profile and preferences of urban mobility in Brazil: Challenges and opportunities.Travel behaviour & society · 2023Article
- Modeling the COVID-19 Travel Choices in Colombia and India: A Hybrid Multiple Discrete-Continuous Nested Extreme Value Approach.Transportation research record · 2023Article
- Determinants of CSR and green purchase intention: Mediating role of customer green psychology during COVID-19 pandemic.Journal of cleaner production · 2023Article
- Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile.Transportation research. Part A, Policy and practice · 2022Article
- The impact of working from home on modal commuting choice response during COVID-19: Implications for two metropolitan areas in Australia.Transportation research. Part A, Policy and practice · 2022Article
- Impact of COVID-19 on the number of days working from home and commuting travel: A cross-cultural comparison between Australia, South America and South Africa.Journal of transport geography · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e., Bogotá, Buenos Aires, Lima, Quito and Santiago). A decline in public transport patronage could be very bad news for these cities in the long term, particularly if users change to less sustainable modes, such as cars or motorbikes. Notwithstanding, it could be even beneficial if users selected more sustainable modes, such as active transport (e.g., bicycles and walking). To better understand this phenomenon in the short term, we conducted surveys in these five cities looking for the main explanation for changes from public transport to active and private modes in terms of user perceptions, activity patterns and sociodemographic information. To forecast people's mode shifts in each city, we integrated both objective and subjective information collected in this study using a SEM-MIMIC model. We found five latent variables (i.e.,
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Registered trials
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