ArticleLetters in spatial and resource sciences2023
On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities.
Article in Letters in spatial and resource sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- A fuzzy logic model for taxi service assessment using passenger survey data from Ukraine and Poland.Scientific reports · 2026Article
- Investigating the potential of aggregated mobility indices for inferring public transport ridership changes.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 has a dramatic impact on the use of public transport (PT). Most European cities report a decline in PT use during 2020 and 2021. Nevertheless, not all cities report similar decline patterns or comparable resilience paths. We investigate the resilience patterns of PT use during 2020 and 2021 in 15 European cities from 11 different countries using clustering and regression analysis of data originating from Google Mobility Reports, the Oxford Policy Stringency Tracker, and COVID-19 reports. Results highlight the variety of resilience patterns of PT use in these 15 cities. These patterns vary in time and space. PT use in some cities recovered faster and more significantly than in others. Findings also suggest that changes in retail and recreational routines had the highest impact on the resilience of PT use in most cities. Changes in workplace routines are also important, but to a lesser degree. The impact of policy stringency on PT use is significant, but less consistent between the 15 cities.
Indexed as
Identifiers
What OpenQuestion holds
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.