Exploring the Quality of Public Space and Life in Streets of Urban Village: Evidence from the Case of Shenzhen Baishizhou
Bibliographic record
Abstract
The rapid economic development in China has resulted in the huge migration of people into city and the continuous expansion of urban areas, in which a new kind of urban landscape, named urban village has formed. Due to the high density of buildings and the status of disordered land utilization in urban village, many special and typical street and lane spaces are formed, which are usually neglected or simply managed. However, the crowds of people need a proper public space and public life for adjustment of all kinds of social and mental problems aroused from long-term staying in a narrow indoor and outdoor space in urban village. This research uses counting method, observations, interviews and space syntax to investigate the status quo of public space and public life in streets of Baishizhou Urban Village. Results show that the space accessibility of street is weak and the space comprehensive quality is low. The majority of public activities are necessary activities. People tend to expect different types of activities and functional facilities, as well as a confortable, safe and green environment. We suggest establishing a slow traffic; providing rest and landscape facilities; enhancing safety, and increasing the use of boundary space, which can solve most of the problems considering economic and practical aspects. The approach to investigate the public space and life in this study can be applied to other urban villages, and even different types of public space. The results and improvement suggestions are suitable for other research for the quality of public space and life in streets of urban village.
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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 | 0.010 | 0.003 |
| 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 | 0.001 |
| 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".