ArticleUrban informatics2022
Using unstable data from mobile phone applications to examine recent trajectories of retail centre recovery.
Article in Urban informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed.
- From crisis to new routine: shifts in urban shopping mobility and socioeconomic inequality during and after the COVID-19 shock.Frontiers in big data · 2026Article
- A new commercial boundary dataset for metropolitan areas in the USA and Canada, built from open data.Scientific data · 2024Article
- How has COVID-19 impacted the economic resilience of retail clusters?: Examining the difference between neighborhood-level and district-level retail clusters.Cities (London, England) · 2023Article
- How consumer behaviours changed in response to COVID-19 lockdown stringency measures: A case study of Walmart.Applied geography (Sevenoaks, England) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has changed the ways in which we shop, with significant impacts on retail and consumption spaces. Yet, empirical evidence of these impacts, specifically at the national level, or focusing on latter periods of the pandemic remain notably absent. Using a large spatio-temporal mobility dataset, which exhibits significant temporal instability, we explore the recovery of retail centres from summer 2021 to 2022, considering in particular how these responses are determined by the
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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.