The Impact of Urban Rail Transit on Surrounding Residential Prices--Line 1 of Chengdu Metro as an Example
Bibliographic record
Abstract
This article aims to build a hedonic price model of the research region by making a summary of relevant research in this field, and taking the running Line 1 of Chengdu Metro as an example. To be specific, the research discusses the influence of Line 1 of Chengdu Metro on surrounding residential prices taking samples of the estates within 2 km of Line 1 within a spatiotemporal perspective. The results shows that: after the operation of Line 1 (from July in 2010 to June in 2011), the growth rate of the residential prices has been increased by 5.89%, 9.44%, 12.45% and 11.03% from 1st ring to the third ring respectively, reaching at an average rising rate of 9.51%. Besides, the residential prices far away from the downtown area were more likely to be found ahead than those around the city center and represented a far more sensitivity to the metro operation. By quantitative calculating, it finds that: regions that are closer to subway stations per meter from 1st ring to the third, the residential prices increased 0.91 Yuan/m2, 1.16 Yuan/m2 and 1.21 Yuan/m2, respectively. At the same time, Line 1 of Chengdu Metro has been increased a total number of 7.814 billion Yuan up to now of surrounding residential value.
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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 | 0.004 | 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 | 0.001 | 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".