Evidence map›Paper›PMID 40417067›Full record

ArticleApplied spatial analysis and policy2025

A Study of Changing Automated Teller Machine (ATM) Accessibility and its Implications in England and Wales.

Stephen D Clark, Chris Duley

Abstract read
In one paragraph

Article in Applied spatial analysis and policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

2 authors.

Stephen D ClarkSchool of Geography and Consumer Data Research Centre, University of Leeds, Leeds, LS2 9 JT UK.ORCID 0000-0003-4090-6002
Chris DuleyConsumer Data Research Centre, University of Leeds, Leeds, LS2 9 JT UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ways that people choose to pay for products and services is changing, with many people having a greater desire to pay using electronic means in preference to using cash. However for a significant section of society cash remains an important option, for budgetary, technical and sociological reasons. One of the primary ways to make cash available is through Automated Teller Machines (ATMs) and the United Kingdom's financial industry and the government are keen to maintain a viable network of ATMs. In this study a refinement to the Floating Catchment Area technique, the Modified Huff Variable Three Step Floating Catchment Area (MHV3SFCA), is used to assess the accessibility of ATMs in England and Wales. The MHV3SFCA approach better accounts for competition, and ensures equity through a minimum threshold for access. How this accessibility has changed over time and how the definition of the network has an impact is shown. The results are illustrated with maps that identify potential ATM deserts and a case study of the City of York. Trends are summarised using the typographies of an area classification, a deprivation index and an urban/rural indicator. The results show better accessibility in deprived and urban locations. Over a 3 year time period the accessibility has deteriorated for all locations, however this was least in deprived areas, where accessibility is already good. In locations where there has been an attempt to protect ATMs, the level of accessibility has remained stable.

Indexed as

AccessibilityAutomated Teller Machines (ATMs)DeprivationEngland and Wales

Identifiers

PMID40417067
PMCPMC12095322

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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.