Enhancing Urban Sustainability by Integrating MCDM and Model of GIS Spatial Analysis in Al-Nasiriyah Heritage Center Development
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
Various countries of the world endeavor to achieve a new paradigm of sustainability by preserving their heritage and history and avoid the risk of old process preservation.Therefore, this article adopts several concepts for investigating heritage areas and then builds a model based on spatial analysis using GIS.So, the main problem this article addresses is that planning does not rely on appropriate mechanisms for preserving the heritage area of Al-Nasiriyah in Dhi-Qar Governorate, Iraq, which has resulted in erosion and destruction of that area.Consequently, the article aims to determine the optimal process for the rehabilitation to the heritage city center, using spatial analysis mechanisms and to achieve urban sustainability.To do this, the article first discusses various countries' experiences in the field of heritage conservation to understand successful principles for implementing the new sustainable paradigm.Subsequently, the Analytical Hierarchy Process (AHP) is used to calibrate and assign weights to the analysis mechanism.This process is based on the most prominent elements that depend on land uses and necessary services in the spatial analysis.After analyzing eight indicators, a consistency ratio of 0.47 was obtained, which is the acceptable excitation range in AHP standards.Finally, the study built a model in GIS to determine the most suitable area for the development of any city with the same condition.Therefore, the spatial analysis and model process identified Zones 2 and 3 as the most suitable for development, with Zone 4 being the optimal choice according to the MCDM analysis to be selected as the first area for development.Thus, this can limit the process of erosion of the urban heritage fabric due to the encroachment of commercial use and the rise in the value of achieving cultural sustainability.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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