Theoretical studies and design models of High Line parks: a systematic review
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
High Line parks are an innovative landscape model that combines the adaptive reuse of abandoned infrastructure with ecological and environmental enhancement. This study explores the origins and development of High Line parks, focusing on the three phases of the High Line Park in New York, which has influenced similar projects worldwide. The research examines the defining characteristics of High Line parks and uses bibliometric analysis to identify trends in their development, including key themes, research subjects, and hotspots. It highlights the interdisciplinary contributions from landscape planning, design, management, and economics, emphasizing their role in shaping the High Line model. Additionally, the study proposes a framework for classifying design models based on the retention of original infrastructure, identifying four distinct design approaches. These findings offer valuable insights into the transformative potential of High Line parks for urban spaces. Future research should focus on three key directions: examining the role of community participation in mitigating green gentrification; modeling visitor perception and behavior using multimodal data; and assessing thermal comfort and health risks under compound environmental stressors, to support the inclusive and adaptive development of High Line parks in diverse urban contexts.
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 | 0.000 | 0.000 |
| 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