Pedestrian-Friendly Environments and Active Travel for Residents of Multifamily Housing
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
This article examines the relationship of the built environment to physical activity in suburban multifamily housing developments in a medium-sized city, testing Alfonzo’s (2005) model of decisions regarding active travel. All complexes were within one-quarter mile of a shopping area with a major grocery store, but varied in pedestrian friendliness. Survey data were gathered on travel behavior to the stores, sociodemographic characteristics, preferences for an “active” environment, and perceptions of the extent to which their environment promoted activity. Multilevel analyses showed that residents in more pedestrian-friendly areas had significantly more active travel and less driving travel, indicating a substitution, rather than a supplementation, effect. Results remained when preferences for an “active” environment were controlled and, in most cases, when perceptions of the environment were controlled. It is suggested that Alfonzo’s model of decisions regarding walking behavior be amended to include direct influences of urban form on travel behavior.
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 | 0.000 | 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 | 0.000 | 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