# Exploring mobility patterns and social health of older Canadians living at home to inform decision aids about housing: A mixed-methods study

**Authors:** Diogo Mochcovitch, Allyson Jones, Joshua Goutte, Karine V. Plourde, Roberta de Carvalho Corôa, Marie Elf, Louise Meijering, Jodi Sturge, Pierre Bérubé, Stéphane Roche, Sabrina Guay-Bélanger, France Légaré, Li-Pang Chen, Li-Pang Chen, Li-Pang Chen, Li-Pang Chen, Li-Pang Chen

PMC · DOI: 10.1371/journal.pone.0320876 · 2025-04-17

## TL;DR

This study explores how mobility and social health affect housing decisions for older Canadians, using mixed methods to gather insights.

## Contribution

The study introduces a mixed-methods approach combining GPS tracking, interviews, and spatial analysis to inform housing decision tools for older adults.

## Key findings

- Participants made an average of 10.4 trips per 14 days, primarily for shopping or walking.
- Winter weather was the most common barrier to mobility among participants.
- Social assets like family support and neighborhood familiarity were key to participants' social health.

## Abstract

Many tools support housing decisions for older adults but often overlook mobility patterns and social health. We explored these factors in older Canadians living at home to inform housing decisions.

We conducted a mixed-methods study with 20 older adults (65+) from Quebec and Alberta living independently or in senior residences with outdoor mobility. Data collection included sociodemographic information, GPS tracking, walking interviews, daily journals, and in-depth interviews. Data from interviews, which explored physical and social assets and barriers to social health and mobility, were analyzed using deductive content analysis in NVivo 12. GPS data were subjected to spatial analysis in QGIS (Quantum Geographic Information System) to map activity spaces and mobility patterns by the number and distance of activities, activity types, and modes of transportation. Daily journals were transcribed into an Excel spreadsheet and compared with GPS data. Overall analysis was guided hierarchically by qualitative data, utilizing verbatim narratives and visualization (activity space maps) to illustrate data convergence.

Among 20 participants, 14 completed all activities, including GPS trackers. GPS maps showed participants mostly left home to drive for shopping or walking. Over 14 days, participants made an average of 10.4 (±5.8) trips and traveled 186.9 km (±130.4), averaging 16.8 km (±29.8) per day. Transportation modes included car (n=9), walking (n=5), and bus (n=2). Daily journals revealed that participants typically traveled alone. Interviews identified physical assets as libraries and supermarkets (n=10), while social assets were family support when desired (n=13) neighborhood familiarity (n=14), both contributing to social health. Winter weather was the most cited mobility barrier (n=13).

These findings provide actionable insights to guide the development of user-informed decision support tools tailored to the housing decisions of Canadian older adults.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12005502/full.md

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Source: https://tomesphere.com/paper/PMC12005502