Exploring the Evolution and Trends in the Peri-Urban Planning: A Bibliometric Overview
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
Peri-urban regions have evolved from a conceptual place and process to a heterogeneous location competing for spatial equity.Despite numerous studies on peri-urban planning, the non-judicious planning process and the lack of evidence-based decision-making remain pertinent issues in peri-urban areas.Although research on peri-urban planning is increasing, establishing standardized frameworks and facilitating cross-regional comparisons still require a widely adopted and unambiguous approach.Furthermore, there is a lack of understanding of how peri-urban areas function and the intrinsic variability within this vast domain.The paper seeks to comprehend the evolution of peri-urban areas and to suggest critical areas for sustainable peri-urban planning by employing science mapping tools to assess 622 articles from the Web of Science, which were selected from a total of 1,102 articles.According to the findings, peri-urban planning extends beyond the fundamentals of planning and now encompasses a wide range of subjects.Sustainable development concepts such as peri-urban landscapes, ecosystem services, and green infrastructure have evolved to address the complexity of urban-peri-urban networks.Using VOSviewer and SciMAT to assess article data provides significant insights into the evolution of peri-urban planning.The findings underscore the importance of evidence-based decision-making in peri-urban planning.The unclear spatial representation of sustainable development principles stresses the need for periurban planning strategies that are broadly embraced and clear.Moreover, the underrepresentation of topics such as gentrification, neoliberalism, and institutional structures indicates a knowledge gap in fully comprehending the processes and implications of peri-urban planning.
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.
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 | 0.009 | 0.007 |
| 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