Evaluating Pedestrian Connectivity for Suburban Sustainability
Bibliographic record
Abstract
A crucial ingredient for achieving urban sustainability is reducing society's dependence on the automobile. Residents of suburban developments are often dependent on their cars for trips to destinations within the neighborhood because of circuitous street layouts, lack of sidewalks, and long travel distances. The term “pedestrian connectivity” is introduced as a measure of both the directness of route and the route distance for the pedestrian for each home-destination trip. The developed methodology for retrofitting pedestrian enhancements to an existing suburban neighborhood is coded as an ArcView GIS extension. Improvements include the addition of sidewalks and access pathways to isolated cul-de-sacs to make for shorter and more direct routes. Reduced energy consumption, and therefore greater sustainability, may be achieved by having suburban neighborhoods retrofitted in such a way as to allow people to walk for some of their needs and to be well connected to a regional transit system. Modeled results from a neighborhood in Hamilton, Ont., Canada, show how the retrofitted improvements could lead to measurably improved conditions for pedestrians.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".