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Record W4407597426 · doi:10.1093/geront/gnaf067

Safety Using Public Buses in Naturally Occurring Retirement Communities: An Exploratory Study in Two North American Cities

2025· article· en· W4407597426 on OpenAlexafffund
Tracy Chippendale, Ruheena Sangrar, Shlomit Rotenberg, Angela Curl, Natisha Baig, Lisa A. Suzuki

Bibliographic record

VenueThe Gerontologist · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersUniversity of Toronto
KeywordsAging in placeExploratory researchGerontologyThematic analysisRetirement communityPublic transportNonprobability samplingQualitative researchPublic healthAxial codingPsychologySocioeconomicsMedicineEnvironmental healthSociologyGrounded theoryNursingPopulationEngineeringTransport engineeringTheoretical sampling

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Safe community mobility is critical to support aging-in-place. For older adults living in low-and moderate-income urban settings, driving may not be an option due to costs associated with car ownership or a lack of driving history. Some older adults retire from driving due to changes in their health. Public transportation is critical to support community engagement. However, little is known about transportation challenges in naturally occurring retirement communities (NORC). Therefore, the purpose of this ecological theory-informed study was to explore supports and limitations regarding safe public bus use in NORCs. RESEARCH DESIGN AND METHODS: A multiple qualitative case study design was used with purposive sampling of representative cases consisting of 4 bus routes in NORC neighborhoods. Field observations and in-depth semistructured interviews were conducted. Participants were: (a) age 60 and older, (b) English speaking, (c) ride the bus on average 2 or more times per month, (d) ambulatory with or without a walking aid, and (e) residents of 1 of the 4 NORC neighborhoods. A descriptive, thematic approach was used for data coding and analyses, and data were organized according to the framework method. RESULTS: Seventeen NORC residents were interviewed, and 45 hr of field observations were conducted. Results revealed 4 major themes: impact on other people's behavior, obstructed passageways, older riders impact on their own safety, and space and time orientation. Several subthemes were also uncovered. DISCUSSION AND IMPLICATIONS: Results suggest education and policy changes are needed to increase the safety of older adults who use public buses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.208
GPT teacher head0.476
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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