Effect of Physical Changes on the Spatial Structure of Historical Area, the Historical District of Urmia City as a Case Study
Bibliographic record
Abstract
Recently, urbanism interventions have caused major changes in the spatial and physical structure of Iran cities. These interventions have changed primary spatial organization pattern and the city′s main structure. In the process of this physical development in many historical cities, it has not been enough attention to the structure and historic core shape of the city and subsequently, problems such as the inability to adapt to the new physical changes, the lack of appropriate linkage with the available network structure and its diminution in the minds of people, have aggravated the historical cores. Recognition of the main cities structure and skeleton based on analysis of all components of cities is difficult and impossible. Space organization theory (space syntax) is one of the methods that has responded to the needs of cities’ spatial analysis.This research, with the aim of investigating the impact of urban development plans on the spatial structure of the historical boundaries of Urmia investigating and analyzing the city structure in four important periods (2016-1996-1974-1930), using space organization method. Results of this study, demonstrated that was decreased functionality and coherence of the historical area and its relation to the totality of city structure affected by physical changes over time. And the inner structure of this area could not be linked to the city's overall structure. Also, a large part of the identity and physical values of texture are demolished by discontinuity of the main elements of the area. The functional importance of historical orders has been weakened and this means that rapid physical changes, had negative effects on the spatial structure of historical area.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".