Evidence map›Paper›PMID 41551137›Full record

ArticleCities & health2025

The neighbourhood built environment affects driving behaviours of older adults: a combined geographic information systems and machine learning method.

Rayeheh Hafezifar, Shahab Alizadeh, Anne Dickerson, Brenda Vrkljan, Ganesh M Babulal, Sayeh Bayat

Abstract read
In one paragraph

Article in Cities & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Rayeheh HafezifarDepartment of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.
Shahab AlizadehDepartment of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.
Anne DickersonDepartment of Occupational Therapy, College of Allied Health Sciences, East Carolina University, Greenville, NC, USA.ORCID 0000-0002-3665-0799
Brenda VrkljanSchool Rehabilitation Science, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-9263-9933
Ganesh M BabulalDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-7966-3509
Sayeh BayatDepartment of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.ORCID 0000-0003-2554-2140

Funding

Naturalistic driving as a functional neurobehavioral marker of preclinical and symptomatic Alzheimer diseaseR01AG068183 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2020 to 2024
$6.7M
The Impact of Depression and Preclinical Alzheimer Disease on Driving Among Older AdultsR01AG067428 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2020 to 2024
$4.0M
Aging Research Characterizing Health Exposome via Social drivers (ARCHES)R01AG074302 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2021 to 2025
$3.7M
NIA NIH HHS R01 AG067428NIA NIH HHS R01 AG068183NIA NIH HHS R01 AG074302
6 · The paper itself

Abstract

Driving space is considered as the transaction between built environment features and driving behaviour. Driving keeps people active and engaged, particularly in later life. Using Geospatial Information Systems (GIS) and machine learning, this study examined the driving space of older drivers (aged ≥65;

Indexed as

built environmentGISmachine learningNaturalistic drivingolder adults

Identifiers

PMID41551137
PMCPMC12807542

What OpenQuestion holds

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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.