Evaluating Pedestrian Connectivity for Suburban Sustainability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it