Car Driving and Public Transit Use in Canadian Metropolitan Areas: Focus on Elderly and Role of Health and Social Network Factors
Notice bibliographique
Résumé
Most studies analyzed the impact of decreased mobility on health and social network status, but only a few have provided evidence to understand how these latter factors could affect travel decisions or outcomes. This paper examined the linkage between people’s car driving and public transit use in Canada and their personal, health and social network characteristics, with a focus on the elderly population. The study exploits Statistics Canada’s General Social Survey (GSS-19), a unique survey with a nationally representative sample that contains questions on health, social network and transportation situation. Multilevel binary logistic regression models were estimated for the two travel modes. Results showed that regardless of age, poor health discourages both car driving and public transit use. Physical limitations that constrain mobility were found to decrease the likelihood of using public transit, a finding that was expected. However, a very interesting finding of this study is that even in the presence of physical or mental situations, mobility is still made possible through car driving. Relatedly, the study showed how important license possession and car ownership are to personal mobility and to be less dependent on other modes of transport including public transit. Findings from this study have also underlined that family network could play an important role in influencing both mobility decisions and provision. Car driving was found to be more likely when a person lives alone versus with one or more people in the household, a tendency that is stronger among the elderly than the non-elderly group. However, in the event of voluntary driving cessation, suspension of driving license, or when other means of transport would not be a convenient or feasible option, support from family members or caregivers could be critical given that, and as this study finding showed, elderly people are likely to continue to strive to maintain their driving skills even with a health condition, rather than prepare to stop driving. The size of close family networks did not show a considerable influence, but the quality of these ties (i.e. being close to family) was found relevant in public transit use. Results underlined implications to road safety, the development of alternative transport strategies and strengthening social support to help maintain mobility necessary for health and quality of life in later years.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».