Urban Green Quarter - Strategies for assessing green spaces of high-density low-rise residential areas in Ho Chi Minh City, Viet Nam.
Notice bibliographique
Résumé
The Urban Green Quarter is a proposed model for the integration of low-rise high-density housing with green spaces in Ho Chi Minh City – the economic centre of Vietnam. According to statistics from 2019, the population density was around 290 inhabitants per square kilometre, whereas the average population density of the whole world was only 59 people per square kilometre (Nguyen, 2021). As a result, in Viet Nam, there is a constant shortage of housing, especially in Ho Chi Minh City with a metropolitan population of 8,993,082 in 2019 (General Statistics Office, 2020). The city’s population increases by 200,000 to 400,000 annually (Huy Sơn, 2018) and is still growing rapidly. In order to cope with the rising population and prioritise economic development; more tube houses, apartments, and high-rise projects are being developed focusing mainly on creating more affordable dwellings to accommodate as many people as possible and reduce the green spaces. In fact, the urban development in Ho Chi Minh City only provides two square metres of public green space per capita (Ministry of Natural Resources and Environment, 2016), compared to the nine square metre minimum recommended by the World Health Organisation (WHO) (Russo & Cirella, 2018); which adversely affects the residents’ well-being. This is the primary reason this proposal is undertaken, seeking to improve the well-being of the inhabitants by incorporating green spaces into indoor and outdoor designs. Green spaces have a critical impact on the quality of the living environment. However, the rapidly increasing population and urban expansion have resulted in changes to the natural environment, resulting in a noticeable reduction in public and private green spaces in urban settings. Consequently, people’s health and well-being are being put at risk. Numerous studies have demonstrated that people who are able to interact with green spaces in everyday life receive multiple benefits for both physical and mental health (Barton & Rogerson, 2017). Residing in areas with enhanced public and private green spaces helps reduce stress and anxiety and improve spiritual health. Therefore, it is fair to say that existing green spaces in urban planning and dwelling design are considered essential ingredients for the inhabitants’ health and well-being. This research follows a design-led, methodology, and typological research; and takes into consideration the adaptation of traditional Vietnamese tube houses and low-rise apartments in high-density urban development. This study has three objectives. Firstly, it addresses the problems of the current living environment in urban areas, and green spaces in dwelling design. Secondly, it studies the housing typology in Vietnam throughout history. Lastly, it proposes a prototype and design strategies for the urban green quarter, which aims at preserving the majority of existing green spaces and maximising the quantity of green spaces in the design. A guideline and strategy for maximising green spaces while also delivering accommodations for the residents in this green urban design are concluded through an examination of a case study of Phu Nhuan District – a central district of Ho Chi Minh City. The district is chosen because it represents a standard layout of Ho Chi Minh City landscape and is one of the most economic areas in Ho Chi Minh City. The outcome of this research can be used as a reference for designing the proposed Green Urban Quarter; as well as a reminder/emphasis of the significant value of green spaces in urban housing design.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».