The Socio-Environmental Impacts of Public Urban Orchards: A Montreal Case-Study
Notice bibliographique
Résumé
The rapidly increasing urbanization of the world creates important environmental and social problems. By bringing the cultivation of food closer to where people live, urban agriculture could contribute to alleviating some of these, especially when involving the participation of the residents. Here the potential socio-environmental impacts of public urban orchards was studied, using as a case-study a public urban orchard planted in 2010 in Sainte-Anne-de-Bellevue on the island of Montreal (Quebec, Canada) by the city administration. The socio-environmental constructs evaluated were: place attachment, social capital, food and food system knowledge, and environmental knowledge. Observations of the users of the site were performed, and semi-directed interviews were conducted with eleven users of the bike path and two members of the city administration who have developed the project. The interviews with the users were analyzed using a mixed inductive and deductive qualitative approach. Evidence of positive impacts was found for place attachment, social capital, and food knowledge, while no evidence of impacts was found for food system and environmental knowledge. Impacts on social capital were seen for most of the social capital components studied, but not for bridging social capital. Impacts on place attachment appeared to take place in large part through an increased appreciation of the city administration, thereby also possibly increasing the trust in the administration (social capital). However, this effect appeared to be dependent on a level of maintenance of and communication about the orchard project perceived as adequate by the residents. Finally, the interviewees manifested a high level of interest in participating in maintenance or harvesting activities around the orchard, mainly for interaction with their community. Based on the results I suggest that implementing participatory activities and providing more information about the orchard, the food system and the environment could increase the impacts on the four constructs studied, and I propose other potential means through which urban agriculture could impact socio-environmental sustainability, namely through improving quality of life and reducing urban sprawl. Though further research is needed to evaluate the extent to which the results are transferable to other contexts, this study should be of interest to city administrations seeking cost efficient means of positively contributing to socio-environmental sustainability and to the individual wellbeing of their residents, as well as to researchers interested in the relationship between urban planning and socio-environmental sustainability.
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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 | 0,000 | 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) | 0,001 | 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 ».