Urban Form and Sustainable Development: The Case of Urmia City
Bibliographic record
Abstract
The importance of urban form on sustainable development has been recognized in recent years. Since the late 20th century, a number of countries have adopted urban form policies in environmental planning. Urban form directly affects habitat, ecosystems, endangered species, and water quality through consumption, fragmentation, and or replacement of the natural cover with an impervious surface. The current research aims at identifying the urban model of Urmia City so to achieve a sustainable form. This study is applied and utilizes both descriptive and analytical methods. To measure the model of urban growth, Holdern, Shannon’s entropy, Moran and Geary’s coefficients were employed. The findings indicate that the model of urban growth is sprawl and this may leads to ecological, social and economical and urban form that is unsustainable. Regarding the consequences of sprawl growth and the movement toward achieving a sustainable development and sustainable urban form, it appears that the decentralized centralization method (changing one central city into multicentre one based on centralization and multiplication of activities in sub centers) with the emphasis on principles and strategies of urban smart growth is the best model for achieving sustainable form in the future.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".