Neighbourhood Greenways: Invisible Infrastructure for Walking and Cycling
Bibliographic record
Abstract
Some of the best walking and cycling routes in the world have few conventional pedestrian and cycle facilities. Neighbourhood greenways (aka "bicycle boulevards") are a form of street treatment where simple measures such as lower speeds, traffic restraints, wayfinding and crossing treatments are used to create an environment that is friendly for walking and cycling. They are particularly useful for connecting people to community facilities such as schools, parks, shops and other key destinations in a neighbourhood and beyond. Neighbourhood greenways are a popular tool in North America (e.g. Portland and Vancouver) but have yet to catch on here in New Zealand, despite many similarities in street environment. \n \nThis paper outlines what kind of features typically make up neighbourhood greenways and how they combine to make walk/cycle-friendly streetscapes. Examples from North America will be shown, as well as a case study for how similar treatments could be applied in rebuilt Christchurch. Funding and implementation considerations for New Zealand will also be discussed.
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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 | 0.001 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".