Understanding When Carsharing Displaces Vehicle Ownership
Notice bibliographique
Résumé
In this paper, the authors analyzed the factors and conditions associated with car owners who chose carsharing (CS) over car ownership. The authors used over 3,400 responses to a survey by Metro Vancouver directed at members of three different carsharing services. Our bivariate analysis showed that out of 883 respondents who reduced their vehicle ownership after joining a carsharing service, 70% became zero vehicle households. This suggests that, in these cases, access to CS services fully substituted private vehicles. According to the regression analysis, households who tended to reduce their vehicles after joining CS were 1) single households 2) those owning multiple vehicles prior to joining CS and, 3) those living in rental housing. On the other hand, households who kept their vehicles, even after joining CS, tended to have family members working outside of home. In addition, our logit regression analysis showed that households picking up cars at locations within apartment/townhouse complex, locations close to work/school, and locations close to transit stations were less likely to relinquish personal vehicles. The expansion of CS services in these locations has been a policy target by municipal governments. If the goal of public policy is to reduce private vehicle ownership, the authors might need to explore other strategies. The authors recommend conducting follow-up surveys to capture the effect in longer time frame and in other area, such as outside of urban core. The regression analysis also found that households who reduced vehicle ownership were twice as likely to report environmental awareness as a motivation than other CS households. Considering a strong positive relationship between the intention of cost saving by CS and vehicle ownership reduction (over 3.0 odds ratio), advertising CS as a cost effective and environmental friendly transportation option would be a potent strategy to implement CS as a vehicle ownership reduction measure.
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Prédiction distillée sur la base complète
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».