Understanding the Determinants of X-Minute City Policies and the differences and barriers to achieving X-minute city policies
Notice bibliographique
Résumé
The concept of a x-minute (or 15-minute) city has recently gained prominence globally as an influential urban planning approach, endorsed by policy makers for its potential to enhance economic, environmental, and social outcomes, including quality of life and community cohesion. Despite its popularity, there is a dearth of research into the determinants and comparability of x-minute city policies, leading to a dispersion in thematic and geographic policy direction. To address this gap, this research was done with the aim of addressing two objectives. The first objective of this research was to examine the development of x-minute city policies across the United States, Canada, and Australia. Utilizing scholarly research, news articles, and a sequence of steps, 15 cities with recent x-minute city plans were identified and analyzed. The study found that while cities aim for complete local living through the incorporation of x-minute city concepts, there are variations in the modes of transportation, temporal cut-off values, and targeted destinations. The second objective aims to understand correlations and differences between these policies while understanding the impacts of the city’s structuring elements on the probability of achieving them. Using a wide array of spatial and transportation data for the City of Saskatoon, this research develops five different x-minute city policies based on four different city plans at the parcel level. Additionally, this research explores how physical elements in cities, such as highways, large parks, and rail lines, can impact the realization of x-minute city goals. Overall, the study shows considerable differences between policies in terms of the conclusions they convey. Different policies also led to diverse results regarding their relationship with people's socioeconomic issues. Additionally, the study shows that some physical elements such as highways, large parks, and rail lines have a consistent negative impact on the probability of realizing 15-minute city goals, regardless of the used policy. Other elements had a mixed effect according to the used policy. This research aids transit practitioners and planners in integrating x-minute city concepts by offering insights into policy determinants. It also helps cities in understanding the performance of different 15-minute city policies and the relative challenges in realizing them. With an increased attention to climate change issues, this research helps cities by providing important information that supports the implementation of such a concept, helping them with achieving their broader sustainability and equity goals.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».