Evidence map›Paper›PMID 35281351›Full record

ArticleEnvironment and planning. B, urban analytics and city science2022

When COVID-19 came to town: Measuring the impact of the coronavirus pandemic on footfall on six high streets in England.

Marcus Enoch, Fredrik Monsuur, Garyfalia Palaiologou, Mohammed A Quddus, Fiona Ellis-Chadwick, Craig Morton, Rod Rayner

Abstract read
In one paragraph

Article in Environment and planning. B, urban analytics and city science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marcus EnochLoughborough University, Loughborough, Leicestershire, UK.ORCID https://orcid.org/0000-0002-9027-5459
Fredrik MonsuurLoughborough University, Loughborough, Leicestershire, UK.
Garyfalia PalaiologouLoughborough University, Loughborough, Leicestershire, UK.
Mohammed A QuddusLoughborough University, Loughborough, Leicestershire, UK.
Fiona Ellis-ChadwickLoughborough University, Loughborough, Leicestershire, UK.
Craig MortonLoughborough University, Loughborough, Leicestershire, UK.
Rod RaynerProximity Futures, Hinckley, Leicestershire, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Town centres in the economically developed world have struggled in recent years to attract sufficient visitors to remain economically sustainable. However, decline has not been uniform, and there is considerable variation in how different town centres have coped with these challenges. The arrival of the coronavirus (COVID-19) pandemic public health emergency in early 2020 has provided an additional reason for people to avoid urban centres for a sustained period. This paper investigates the impact of coronavirus on footfall in six town centres in England that exhibit different characteristics. It presents individual time series intervention model results based on data collected from Wi-fi footfall monitoring equipment and secondary sources over a 2-year period to understand the significance of the pandemic on different types of town centre environment. The data show that footfall levels fell by 57%-75% as a result of the lockdown applied in March 2020 and have subsequently recovered at different rates as the restrictions have been lifted. The results indicate that the smaller centres modelled have tended to be less impacted by the pandemic, with one possible explanation being that they are much less dependent on serving longer-distance commuters and on visitors making much more discretionary trips from further afield. It also suggests that recovery might take longer than previously thought. Overall, this is the first paper to study the interplay between footfall and resilience (as opposed to vitality) within the town centre context and to provide detailed observations on the impact of the first wave of coronavirus on town centres' activity.

Indexed as

coronavirus outbreakCOVID-19 pandemicHigh street vitalityPrais–Winsten AR(1) dynamic time series modeltown centre retail declineWi-fi footfall monitoring sensors

Identifiers

PMID35281351
PMCPMC8899842

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.