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Enregistrement W6959449330 · doi:10.7939/r3-s2px-yt49

The only thing you need to know about winter in Edmonton is that it’s cold: Using lived experience to inform how urban spaces are designed, planned, and governed for winter conditions

2019· dissertation· en· W6959449330 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2019
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueChromium effects and bioremediation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésData collectionFeelingDiversity (politics)Lived experiencePerspective (graphical)Urban planningNeed to knowCoding (social sciences)

Résumé

récupéré en direct d'OpenAlex

This thesis makes a case for a more entangled perspective between humans, things, and weather on urban planning and design and brings increased attention to the everyday importance of urban spaces. This research involved multiple methods, including observation, artifact analysis, go-along interviews, and visioning workshops over the course of two years, with most of the data being collected during the winter season. A nested case study of three research sites within Edmonton focused the data collection and highlighted the similarities or differences between areas with different use schemes, dominant user groups, and ownership models. Fifteen people participated in go-along interviews within and around these research sites and the two visioning workshops focused on both the entire city and these particular urban spaces. The data was analysed alongside the data collection in a series of transcribing the interviews, coding the transcripts, photographs, and sketches and highlighting any dominant themes and then categories. The final analysis phase involved writing and presenting the findings or approach to validate the results and receive feedback on my process. With an interdisciplinary, non-linear research approach, the data analysis became intermingled with the data collection allowing collection processes to adapt and improve as I progressed through the research. Two papers are presented in this thesis and show the diversity of factors influencing people’s feelings of inclusion or exclusion in urban spaces during winter conditions. The first paper highlights the potential for the governance and evolution of city planning specifically targeting cities in cold climates or with winter conditions. The second paper focuses on the specificities of the research sites paying closer attention to features that might contribute to feelings of inclusion and exclusion during the winter months. In the analysis for this paper, I compared the sites to each other and came to conclusions that drew attention to the site-specific changes, in addition to changes at the city-scale that can improve the experience of these smaller spaces The case conclusions are described in more detail in the articles and in the final chapter I suggest overarching conclusions that bring together both articles and the data. In particular, the first conclusion suggests a broader approach to users, uses and seasons contributes to more inclusive spaces, regardless of location or time of the year. How or when people feel included or excluded is hard to predict and manage, particularly in urban spaces, and more than ever during the winter season. In general, inclusion is a fluid concept and all people will experience some degree of exclusion at some point throughout their lives. Secondly, I am suggesting that the winter experience of Edmonton is more complex than just cold weather. Edmonton’s physical form is not designed to enjoy the winter season. And indoor spaces are necessary in any severe weather conditions, either hot or cold, dry or wet, and particularly to accommodate different people and tolerances. However, becoming reliant on indoor spaces impacts people’s interest or ability to experience any less-than-ideal weather condition (Hitchings, 2011). For example, people either never learn about how to dress for the weather, forget how unpredictable weather can be, or assume the conditions are better or worse than the actual conditions. The complexity of feeling included in spaces during the winter weaves between many factors including but not limited to the weather itself, people’s attitudes towards the season, the design of the city, maintenance of spaces, and planning of a city. The last overarching conclusion speaks towards both my human ecology training and more traditionally planning principles. There are many suggestions, recommendation, principles, manuals or guidelines proposed for winter city design and planning for cold climates. And while these lists and recipes can help inspire potential improvements, I am proposing a more flexible, context informed approach, or process, to spatial planning and design. This research supports earlier climate sensitive planning recommendations and provides qualitative evidence in favour of context-based, complete city solutions. This thesis is particularly relevant for people involved in creating spaces or cities, such as planners, politicians, and designers, and for community leaders interested in incorporating unique engagement or public participation methods, or academics interested in interdisciplinary research. With a better understanding of uses and users throughout the year, informed priorities and design decisions can be made to enhance the usability of spaces in winter and the wellbeing of winter city dwellers.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,083
Score d'incertitude au seuil0,735

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,217
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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