Impact of Intercity Trucking on Urban Environment - Greater Toronto and Hamilton Area Case Study
Bibliographic record
Abstract
Trucking is the dominant mode for transportation of goods in Ontario. More than 200,000 trucks travel on Ontario highways every day and carry about $3 billion worth of goods. As many as 40,000 trucks travel every day at the busiest point on Highway 401 in Toronto. The Ontario Ministry of Transportation (MTO) has invested in comprehensive freight data collection efforts to improve our understanding of freight demand and road performance in order to make informed investment decisions. Recently completed 2006 Commercial Vehicle Survey (CVS) program and the ongoing GPS probe road performance data collection efforts are the two main two main data collection initiatives undertaken by the province. This paper investigates geographical and temporal distribution of long distance trucking, which primarily constitutes of medium and large trucks, in the Greater Toronto and Hamilton Area(GTHA). Truck Trip data from the 2006 CVS/NRS, along with the road performance data derived from GPS polling are used in this paper to evaluate potential conflicts between truck and commuter movements. The characteristics and distribution of intercity trucks that enter the GTHA boundaries are examined to understand the location of truck nodes, their proximity to residential areas, truck movement patterns, and temporal distribution patterns.
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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 | 0.000 | 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 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".