Peri-urban residential neighbourhoods at the margins of current trends in urban growth: towards sustainable transition paths?
Bibliographic record
Abstract
In Switzerland as in most european countries, the last decades of urban development have put much pressure on the environment due to uncontrolled urban sprawl.The existing peripheral residential built-up areas mostly composed of single-family houses are responsible for and subjected to many sustainability issues, which are expected to grow in the short/medium term.focusing on urban and architectural design, this on-going research investigates possible paths for the future of peri-urban neighbourhoods of single-family houses by 2050.The paper presents the intermediary results of several test-applications of prospective scenarios developed for two case studies in the urban region of lausanne, Switzerland.first, this article briefly introduces the research framework of the periurban question in Switzerland by highlighting the specificities of the policy and territorial contexts.Second, it describes the design framework, focusing on the elaboration of a typology of peri-urban neighbourhoods of single-family houses used as a preoperational tool to guide the design process.The core of the paper then focuses on the conceptual elaboration of four prospective scenarios foreseeing possible evolutions for peri-urban neighbourhoods of single-family houses.To illustrate this approach, test-applications -in terms of urban and architectural design -are conducted in two existing neighbourhoods.finally, a limited list of indicators on density, land use and environmental impacts helps assessing the performances of each applied prospective scenario.The scenarios seek to be operational and feasible in a way to provide a decision support.The preliminary conclusions of the study highlight several initial conditions to bring peri-urban neighbourhoods on a path towards sustainability transitions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".