Design of built environments to accommodate mobility scooter users: part I
Bibliographic record
Abstract
PURPOSE: To determine the minimum dimensions needed to allow five models of powered mobility scooters to manoeuvre within five commonly encountered indoor spatial configurations. METHOD: We measured manoeuvrability of five scooters judged by their manufacturers to have a good combination of indoor mobility and outdoor performance (including in rural environments). We determined the minimum space needed to manoeuvre the scooters through the following five spatial configurations: turning 180° in a corridor, performing U-turns around 50 mm (2″) and 1200 mm (4') obstacles, turning 90° from a doorway and approaching a counter or work surface from the side. Free-standing styrofoam walls were used to define each configuration. An expert driver repeatedly manoeuvred the scooters through each configuration while we incrementally decreased the dimension of interest until it was no longer possible to complete the manoeuvre. Each scooter's turning diameter was also measured and compared to the manufacturer's specification. RESULTS: Minimum space requirements for each scooter for five spatial configurations are given and compared to existing standards. CONCLUSIONS: None of the scooters tested were capable of completing all manoeuvres within the space allowed by existing standards. These findings will contribute to recommendations for new standards for built environments that can accommodate scooter users.
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".