Establishment-Based Survey of Urban Commercial Vehicle Movements in Alberta, Canada
Bibliographic record
Abstract
This paper describes a project to develop a more complete understanding of the nature of urban commercial vehicle movements in the Calgary and Edmonton regions, the two principal urban regions in the province of Alberta, Canada, each with a population near 1 million. It covers the design and implementation of the survey and an overview of the results. Slightly more than 3,000 business establishments in the Calgary region and 4,300 business establishments in the Edmonton region were interviewed concerning the commercial movements that they generated on an assigned survey day. The surveys were performed in fall 2000 in the Calgary region and in fall 2001 through spring 2002 in the Edmonton region. The survey was done to obtain indications of the full range of commodities being transported, including goods and services, together with descriptions of the associated person and vehicle movements arising with this transportation activity. The establishment-based process used was analogous to the household-based approach used in personal travel surveys. Results show that in the two regions commercial vehicle movements are an important component of all vehicle movements on a typical weekday—representing about 12% of vehicle distance traveled. There are more movements for services than there are for goods and more by light commercial vehicles (passenger cars, vans, and pickup trucks) than by heavier vehicles. About 30% of all commercial stops in a typical weekday are for service deliveries, compared with about 25% of stops for transportation and handling services.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".