The Promise of the Aerotropolis Model in the United Arab Emirates: The Role of Spatial Proximity and Global Connectivity
Bibliographic record
Abstract
This article investigates whether the region surrounding Dubai International Airport in the United Arab Emirates (UAE) replicates the theoretical postulations of the aerotropolis model developed by Kasarda. Kasarda has argued achieving an effective aerotropolis requires situating companies close to the airport based on their frequency of use in order to lower transactional costs. Based on self-administered questionnaires distributed to 306 cargo-related businesses, a Spearman rank correlation coefficient of 0.56 (p = 0.000) suggests a positive and moderate association between a firm's travel time to Dubai airport and the frequency of its use of airport facilities. About 76 % of businesses surveyed were located within <30 minutes’ drive of Dubai Airport and reported shipping either daily or weekly through the airport. Such clusters of airport-oriented activities around the airport provide further insight into the detailed spatial organization of the aerotropolis urban form. Findings suggest that two differ...
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".