Neighbourhood sustainability assessment model for developing countries: A comprehensive approach to urban quality of life
Bibliographic record
Abstract
To this end, sustainability has progressively become a core principle and prerequisite in the urban planning and development.The application of sustainability and/or its principal expression is being threatened by neighbourhoods' inequality such as segregation in land use and varying levels of income in developing countries.From sustainable development perspective and strictly linked to spatial contexts, this reflects inadequate urban planning as these spatial and socio-economic inequalities translate to fragmented spatial systems, unsustainable urban form and low quality of life.The analysis of these variables depicts that between the rich neighbourhoods and poor neighbourhoods very little space is afforded for connectivity and integration, local facilities, environmental quality and spatial components which are themselves pillars of sustainable urban form and desired quality of life are not preferentially factored into poor neighbourhoods.Thus, bringing multiple and multifaceted adverse impacts on poor people such as living in the unsafe and unhealthy areas.In essence, locally provided community facilities, infrastructure and services are mechanisms of spatial transformation and integration thus promote social and economic development.When drawing up social services to act as the basis from which sustainability in urban areas could be determined -central contention is that urban sustainability cannot be achieved without adequate social facilities that are differentiated by neighbourhoods varying development densities, community size, mobility levels and socio-economic variations.As a result, this research paper evaluates the sustainability level of low-income neighbourhood living spaces which urban system requires in order to achieve urban sustainability.Evaluating neighbourhood sustainability requires a modelling and integrated approach that bring forward all aspects of urban development and quality of life.The Successful Neighbourhood Model (SNM) developed as the comprehensive sustainability assessment tool for low income neighbourhoods in pursuit of neighbourhood sustainability in South Africa is used.The application of SNM procedure embrace metric benchmarking methodology and this quantitative nature of sustainability assessment is employed to conclude and recommend timely integration of new urban sustainability issues in the planning policies, strategies and instruments.SNM has demonstrated that it is possible to identify barriers that hinder poor neigbourhoods to be sustainable and presents possibilities of aiding urban policy decisions regarding sustainability.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".