Appraisal of Transport Policy and Strategic Plans in Canadian Urban Areas: A Survey of Planners and Policy-Makers in Government Agencies across Canada
Bibliographic record
Abstract
This paper describes how, with the growing complexity of travel demand patterns as well as residential and firm location processes in Canadian urban areas, the need for integrated urban models is increasingly recognized to support transport policy appraisals. Note however, that the use of these models by planning organizations bears many challenges, notably related to the overwhelming amount of output and the complexities associated with processing and interpreting this information. This paper builds on earlier efforts aimed at proposing a framework for policy appraisal in the Greater Toronto Area (GTA) that involves a set of sustainable transport indicators derived from the results of integrated urban models thus assisting decision-making on sustainable transport plans. In an attempt to render the framework more “policy-sensitive”, a survey was initiated with planners and policy-makers both in the GTA and other Canadian cities. The survey aims at collecting information with respect to the current policy evaluation process of transport plans and its associated pitfalls as well as the desired state of policy appraisal and the need for more formal evaluation tools. Participants’ reactions towards the adoption of sustainable transport indicators in policy assessment are also solicited.
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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 | 0.014 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".