Rethinking Vertical Cities: The Influence of Public Perception on Design, Form, and Socio-Cultural Integration
Bibliographic record
Abstract
This study examines the multiple determinants of public satisfaction with high-rise urban forms in Muscat, Oman, in the context of rapid urbanization and the need to protect and conserve culture. Based on a conceptual framework that included six latent variables—Cultural Harmony, Economic Benefit, Environmental Experience, Social Perception, Urban Connectivity, and Visual Appeal—data collected from city residents were analyzed using the quantitative technique of Partial Least Squares Structural Equation Modeling (PLS-SEM). The model results showed that all relationships were supported, with Urban Connectivity, Cultural Harmony, and Visual Appeal having the strongest effects on satisfaction. These findings indicate that public satisfaction with high-rise developments is influenced by the perceived integration of infrastructure, harmony with local architectural traditions, and coherently attractive views. Environmental Experience, Social Perception, and Economic Benefit had smaller, though still significant, effects, confirming the multidimensional nature of urban appraisal. This study therefore calls for a development approach that balances technical, environmental, cultural and tourism-oriented objectives. As such, this work contributes to the existing literature on urban and societal studies by examining a multifaceted model of urban satisfaction and providing beneficial recommendations to enhance the continuing debate on sustainable and contextual urbanism in the Gulf states.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".