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Enregistrement W3122503329 · doi:10.55016/ojs/sppp.v7i1.42465

Alberta Cities at the Crossroads: Urban Development Challenges and Opportunities in Historical and Comparative Perspective

2014· article· en· W3122503329 sur OpenAlexaffabout
Zack Taylor, Marcy Burchfield, Anna Kramer

Notice bibliographique

RevueThe School of Public Policy Publications · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCanadian Identity and History
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésPerspective (graphical)Regional scienceEnvironmental planningGeographyEconomic geographyPolitical scienceComputer scienceArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

Fuelled by the province’s booming energy sector, Alberta’s two largest cities have experienced unprecedented levels of growth. As a result, they face a choice about how to best accommodate their expanding populations — whether to grow out or grow up. For decades, Calgary and Edmonton accommodated almost all growth through the former, suburban expansion. Indeed, the postwar period was marked by a focus on contiguous outward growth to ensure housing affordability and the efficient use of infrastructure, a policy that was widely supported by both the public and the development industry. In Calgary, at least, this has started to change. Beginning in the late 1990s, the city shifted its focus to livability and sustainability, a move that saw policies introduced to promote urban intensification and greater transit use. While this shift has proven popular in many quarters, it also has its fair share of detractors, including many in the development industry. In Edmonton, a city where growth has been relatively slower and authority over urban development dispersed among several local governments, this policy shift has not occurred. Although it is too early to see clear results from this policy shift, a spatial analysis shows that the density of Calgary’s built-up urban area increased in the first decade of the 21st century. Relatively high-density suburban growth led Calgary to consume less land compared with the previous decade (2 ha per 100 new residents in 2001–2011 versus 6.5 ha in 1991–2001). This growth was accompanied by modest intensification in core areas, although the dwelling unit density of the urban area increased by more than the population density (18 per cent versus 14 per cent). Edmonton’s development is roughly similar: denser suburban growth has led to the more efficient consumption of rural land (3 ha per 100 new residents in the 2001–11 period versus 7 ha in 1991–2001). The built-up area has also intensified slightly, especially in areas near transit stations. By way of comparison, Vancouver with its long-standing urban containment policies, including the expansion limits represented by the Agricultural Land Reserve, grew mostly through intensification between 1991 and 2011. In Toronto, the second comparator city examined and one in which local growth management policies have existed since the 1980s, growth is now almost equally divided between intensification and suburban expansion. The analysis suggests that it is difficult to alter a deep-seated policy regime that promotes outward growth. What is more, high levels of intensification may not be enough to offset the effects of a new demographic reality: smaller average household size because of such factors as longer lifespans, delayed family formation, family planning and divorce. So even with a greater number of housing units, the population of the built-up area may still fall. Finally, if the emerging polycentric structures of Calgary and Edmonton are to be successfully supported, major investments in infrastructure are going to be required.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,859
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,002
Communication savante0,0000,000
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 Opus0,153
Tête enseignante GPT0,315
Écart entre enseignants0,163 · 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.

Devis d'étudeSans objet
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

Citations9
Publié2014
Routes d'admission2
Résumé présentoui

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