Rapid Urbanization-Its Impact on Sustainable Development: A Case Study of Udon Thani, Thailand
Bibliographic record
Abstract
This article focused on the pattern of land-use change based on urbanization and the impacts of land-use change on the local community in Udon Thani. Udon Thani was selected as a case study in this article because the rapid growth rate of the city was higher than that of other cities in decades. The study was conducted by satellite images analysis in order to compare the Udon Thani municipality and the suburban areas from 1989-2014. Group discussion was used with representatives from local communities, government sectors, and private sectors. Results revealed that the urbanization process has been settled based on both push and pull factors. Push factors consisted of the expectation of rural people in employment and income. Pull factors consisted of the expansion of the industrial sector, particularly in service and retail sectors, which affected the land-use change in the Central Business District (CBD) and surrounding communities. In addition, impacts of land-use changes on the community were found from several perspectives, including the economic, social, and environmental perspectives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 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".