Sustainable urbanism: towards a framework for quality and optimal density?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The question of density is closely connected to urbanization and how our cities may evolve in the future. <em>Density</em> and <em>compactness</em> are two closely related but different criteria, both relevant for sustainable urban development and the transformation of cities; however, their relationship is not always well understood. While a high degree of compactness is desirable, too much density can be detrimental to liveability, health and urban well-being. The purpose of this article is to report first on an extreme case of hyper-density: the Kowloon Walled City (demolished in 1993), where 50,000 residents led a grim life in one of the most densely populated precincts in the world with intolerable sanitary conditions. While the Walled City was a truly mixed-use and extremely compact precinct, it was neither a ‘liveable neighbourhood’ nor sustainable. The article then explores some more recent cases of optimized quality density in developments in Singapore, Sydney and Vancouver. This article sets out to answer the question: Since density is key to sustainable urbanism, what are the drivers and different planning approaches in relation to establishing an optimal density? And what is the ideal density model for tomorrow’s sustainable cities? Some of the critical thinking around the high-density cases is replicable and could translate to other cities to inform new approaches to quality density. Medium to high-density living is acceptable to residents as long as these developments also provide at the same time an increase in quality green spaces close by. The article explores which density types could help us to create highly liveable, economically vibrant, mixed-use and resilient neighbourhoods of the future. It concludes that every development requires a careful optimization process adapted to the conditions of each site
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it