POSSIBILITY OF INDUSTRIAL AREAS REVITALIZATION IN THE EXAMPLE OF ZAMKOVA STREET IN LVIV, UKRAINE
Bibliographic record
Abstract
Globally, cities have two options for growth: extensive and intensive. The former involves expanding the city's area to accommodate increased development or population. However, this option has significant drawbacks, including longer travel times within the city, loss of arable or recreational land around the city, and the need to construct new infrastructure. As a result, many cities opt for the intensive approach, which maximizes land use efficiency. The topic of revitalization has been under investigation since the mid-20th century, but it is relatively new for Ukraine. As a result, there is a lack of scientific articles that thoroughly explore the subject from all angles. From Ukrainian authors, I want to highlight Hnatiuk L., Melnyk M., Sych O., Levchenko O., Birkentale V. The aim of this article is to examine the global practices of breathing new life into industrial areas. Additionally, it will delve into the history and present state of an industrial area located on Zamkova Street in Lviv. The article seeks to identify the development prospects of the region and provide recommendations and principles for the revitalization of Zamkova Street. We have discovered a few examples of international projects that showcase the importance of experience: KingKros in London, UK, HafenCity in Hamburg, Germany, and Two Kings in Toronto, Canada. As part of our research, we have identified some challenges facing the industrial area on Zamkova Street. Based on our analysis of these challenges and similar projects, we have created a list of principles for revitalization. These include mixed-use buildings, height restrictions, infrastructure development, the idea of a "five-minute city" or "city of short distances," a broad range of housing prices, ample public spaces, new points of attraction, job opportunities close to homes, architecture competitions, preservation of historical buildings, emphasis on pedestrian safety, and the concept of a "sponge city." The issue of industrial areas in Ukrainian cities is complex, but not unique. Many cities have gone through this developmental phase. Fortunately, our cities have an opportunity to draw from successful revitalization experiences. By tailoring these practices to fit each unique situation, we can transform our communities for the better.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".