How does land use policy modify urban growth? A case study of the Italo-Slovenian border
Bibliographic record
Abstract
This study examines the impact of land use policy variations on urban growth in a transborder region. A primary analysis is conducted using multitemporal maps and satellite imagery for the adjacent cities of Gorizia, Italy, and Nova Gorica, Slovenia, twin towns historically trapped on a political border, a line that has changed in its degree of separation from extreme during the Cold War to minimal today. The SLEUTH land use change model is calibrated and used for forecasting land use change from 2005 to 2040. The model is run under three different scenarios, once for the whole area and twice independently for the two sides of the border, allowing a comparison of the resulting differences. The validation of the results shows that both the cities are growing independently and that territorial cohesion has no impact on change in land use pattern of the region. To plan for a sustainable future, it is invaluable to be able to successfully demonstrate policy impacts via computer modeling, simulation, and visualization and to use the forecasts within decision and planning support systems.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".