Beyond Bricks and Books: Exploring the Quality of Campus Open Spaces
Notice bibliographique
Résumé
The impact of physical landscapes on people's health is widely acknowledged, yet research on open spaces within institutional campuses is limited. This Master’s report delves into this gap by evaluating four campus open spaces at the University of Toronto – St. George and Queen’s University. The study aims to address the following objectives: 1) Determine policy directions within the campus masterplans and applicable municipal policies with respect to open space, 2) Utilize an evaluation framework to assess the quality of existing open space within the two higher education institutions through post-occupancy evaluation methods, and 3) Provide recommendations to improve and better incorporate open spaces within higher education institutions. Utilizing a mixed-methods, collective case study design, the research utilizes an evaluation framework adapted from Damone (2019) to assess two park sites and two street environments across both universities. At the University of Toronto – St. George, St. George Street as well as Back Campus and Hart House Circle were selected, while at Queen’s University, University Avenue as well as Nixon and Benedickson Fields were selected. Each of the 21 criteria was assessed with a Likert scale and accompanying notes provided by a variety of observers. Results indicate that the park sites generally outscored street environments across most criteria, with the University of Toronto performing better overall than Queen’s University. Notably, Accessibility of Environment and Safety sections receive high scores due to their central campus location and commitment from both institutions to such in their CMPs. Engagement with the Environment and Access to Nature criteria vary, with park sites generally performing better. With the Community Engagement and Amenities sections also demonstrating lower scores for street environments compared to park sites. Both universities were recommended to further collaboration with their respective municipalities and develop urban forest management plans and consolidate land resources as well as establish living labs to catalyze innovative open space development. For Queen's University in particular, it is recommended that along University Avenue, planters and trees be placed adjacent to the edge of the road, acting as both a visual and physical buffer. As well as throughout Nixon and Benedickson fields, a variety of adaptable seating options should be provided to accommodate programmable as well as passive interaction spaces. While at the University of Toronto - St. George it is recommended that along St. George Street, a variety of seating options be provided and that bulletin or notice boards be placed throughout Back Campus Fields along with low impact outdoor fitness equipment. Overall, this study underscores the significance of open spaces in campus design and provides valuable insights into their assessment and improvement. Implementing recommendations derived from this research could enhance campus environments, fostering cultural integration and improving the mental well-being of students, faculty, and staff.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,006 |
| Communication savante | 0,010 | 0,005 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».