Evidence map›Paper›PMID 41924043›Full record

ArticleEnvironment and planning. B, urban analytics and city science2025

A spatial typology of energy (in)efficiency in the private rental sector in England and Wales using Energy Performance Certificates.

Caitlin Robinson, Ed Atkins, Tom Cantellow, Meixu Chen, Lenka Hasova, Alex Singleton

Abstract read
In one paragraph

Article in Environment and planning. B, urban analytics and city science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Caitlin RobinsonSchool of Geographical Sciences, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-7653-359X
Ed AtkinsSchool of Geographical Sciences, University of Bristol, Bristol, United Kingdom.
Tom CantellowSchool of Geographical Sciences, University of Bristol, Bristol, United Kingdom.
Meixu ChenDepartment of Geography and Planning, University of Liverpool, Liverpool, United Kingdom.
Lenka HasovaSchool of Geographical Sciences, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-5888-0838
Alex SingletonDepartment of Geography and Planning, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-2338-2334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Like many countries globally, the private rental sector in England and Wales contains some of the lowest quality and energy inefficient properties, despite being home to some of the most vulnerable households. We present a new data product that classifies small areas based on the energy (in)efficiency characteristics of private rental properties. Newly available Energy Performance Certificate (EPC) data enables us to analyse detailed energy and housing characteristics for 3.9 million private rentals (∼78.8% of total sector), the most comprehensive dataset of its kind, using k-means clustering. Demographic datasets allow us to explore wider socio-spatial inequalities, and uncertainties associated with granular - but at-times incomplete - EPC data. The classification can be used to evidence how inefficiency is spatially concentrated and fragmented, with a diverse range of energy and housing conditions shaping the everyday lives of tenants.

Indexed as

energy efficiencyEnergy Performance Certificateshousing inequalityk-means clusteringprivate renting

Identifiers

PMID41924043
PMCPMC13038156

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.