ArticleRegional science policy & practice2022
What drives the changes in public transport use in the context of the COVID-19 pandemic? Highlights from Lyon metropolitan area.
Article in Regional science policy & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model.International journal of environmental research and public health · 2023Article
- On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities.Letters in spatial and resource sciences · 2023Article
- What drives the changes in public transport use in the context of the COVID-19 pandemic? Highlights from Lyon metropolitan area.Regional science policy & practice · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article focuses on the decline in the use of public transport in the context of the coronavirus disease 2019 (COVID-19) crisis in the Lyon metropolitan area, France. Using data from a web-based survey, supplemented by traffic counts and a qualitative survey, we explain this decline by the decrease in out-of-home activities such as work and the concomitant increase in teleworking, as well as by modal transfers. We test these explanations by multiple regression models that include socio-demographic, residential, professional and attitudinal variables. We conclude with a discussion on the lasting of these changes and their implications for mobility policy.
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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.