Analysis of travel patterns between road and transit‐oriented development areas
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
Abstract The objectives of this study are to analyze the travel patterns based on social changes between 1996 and 2002, and then to identify main implications in transport policies in the Seoul Metropolitan Area (SMA). In SMA, there are many changes during 6 years. For example, SMA has changed the paradigm of transportation policy from car‐oriented policy to public‐oriented policy. So, this study examines the general travel pattern changes in the SMA and compares the travel patterns of regions invested in road construction (road‐invested areas) with those of regions invested in transit (transit‐invested areas). Study results show that while road investment had little effect on reducing congestion, the number of cars decreased in transit‐invested areas due to the modal shift to transit modes. This study suggests that transit‐oriented policies should be utilized as a solution to overcome severe traffic congestion. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.000 | 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