ArticleTransport policy2022
The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area.
Article in Transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 101 citations in OpenAlex.
- The effect of quarantine policy on pollution emission and the usage of private transportation in urban areas.Scientific reports · 2024Article
- Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia.PloS one · 2024Article
- A narrative case study of an older disabled Muslim woman during the COVID-19 pandemic in the UK.Frontiers in sociology · 2024Article
- Segregation and the pandemic: The dynamics of daytime social diversity during COVID-19 in Greater Stockholm.Applied geography (Sevenoaks, England) · 2023Article
- Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility.Transportation · 2023Article
- The Impact of Urban Rail Transit Epidemic Prevention Measures on Passengers' Safety Perception.International journal of environmental research and public health · 2023Article
- COVID-19 environmental and operational impact for public transport in Kuwait.Environmental science and pollution research international · 2023Article
- Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities.Transportation research interdisciplinary perspectives · 2023Article
- Changing transport planning objectives during the Covid-19 lockdowns: Actions taken and lessons learned for enhancing sustainable urban mobility planning.Cities (London, England) · 2022Article
- Insights into the long-term effects of COVID-19 responses on transportation facilities.Transportation research. Part D, Transport and environment · 2022Article
- Mediation effect of diversity and availability of high transit service on transit oriented development and spread of COVID-19.Environment, development and sustainability · 2022Article
- Detection of SARS-CoV-2 in the Indoor and Outdoor Areas of Urban Public Transport Systems of Three Major Cities of Portugal in 2021.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic strongly affected mobility around the world. Public transport was particularly hindered, since people may perceive it as unsafe and decide to avoid it. Moreover, in Switzerland, several restrictions were applied at the beginning of the first pandemic wave (16/03/2020), to reduce the contagion. This study observes how the pandemic affected travel behaviour of public transport users, focusing on route choice and recurrent trips. We conducted a travel survey based on GPS tracking during the first pandemic wave, following 48 users for more than 4 months. The very same users were also tracked in spring 2019, allowing a precise comparison of travel behaviour before and during the pandemic. We analyse how the pandemic affected users, in terms of travel distance, mode share and location during the day. We specifically focus on recurrent trips, commuting and non-commuting, observing how mode and route changed between the two different periods. Finally, we estimate a route choice model for public transport (Mixed Path Size Logit), based on trips during the two different years, to identify how the route choice criteria changed during the pandemic. The main differences identified in travel behaviour during the pandemic are a different perception of costs of transfers and of travel time in train, and that users no longer have a clear preferred route for a recurrent trip, but often choose different routes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.