Surveillance Study on Traffic Convenience of Public Traffic in Housing Complex
Bibliographic record
Abstract
People have selected their transportation matched with the transportation condition in the region in daily life. And the demand for traffic varies with the city size of Japan, thetis, the scale of a metropolitan area, a sphere of the regional central city, a local metropolitan area, and the city. It is roughly divided into an automobile traffic and public traffic. In addition, the central area of Hiroshima City located in the sphere of the regional central city has a geographical feature that is surrounded by hills, and consists of the delta, and the proportion of a smooth part is small. Therefore, a lot of slope residential quarters where hills were cut open exist in the suburb. However, it is clear in the public transportation facility in an inside advanced by aging and the present slope residential quarter that local populace’s traffic circumstance will become inconvenient in the future. In this research, the convenience of public traffic in a slope housing complex is investigated from two about a public, traffic side and the user side. The target region has about 11000 people and a very large-scale slope residential quarter, where we made the questionnaire survey concerning traffic for the hill housing complex Misuzugaoka. Misuzugaoka understands the traffic realities of the resident of the hill housing complex, and consideration concerning resident’s traffic is understood by this questionnaire survey. The purpose of our research is to show what the residents at Misuzugaoka showed do for the present traffic of the hill housing complex and what traffic showed be appropriate for the region, based on the questionnaire survey. Moreover, the present public transportation facility easy for senior citizen to use. Then, Misuzugaoka objectively shows whether the service level of the public transportation facility in the hill housing complex is appropriate according “Arc View GIS”.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".