Revealed Choice of a New Generation: Travel Behavior of Older Drivers in Rural New Brunswick, Canada
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
The effects of aging, in concert with high automobile dependence due to limited alternatives, means rural older people are particularly vulnerable to losing automobile-related mobility with age. The development of successful alternatives requires replicating the conditions that make car use attractive which begins with enhancing the understanding of how current rural older drivers use their cars. Detailed travel information from Global Positioning System (GPS)-based travel diaries, supported by participant stated responses can lead to a better understanding of these conditions at a level not typically explored for this group. This paper profiles the travel behaviour of a convenience sample of 60 drivers (average age 69.6 years) in rural New Brunswick, Canada collected through GPS-based travel diaries and participant-supplied contextual information. Participants completed an average of 4.29 driving trips per day and 1.06 passenger trips per day in their own vehicles, while travelling in 81% of all eligible survey days. The proportion of passenger trips taken in one’s own vehicle increased with age for men and decreased for women, and was equivalent for men and women aged 75 years and older. “Higher Order/Serving Others” and “Life Maintenance” trip purposes comprised 55% and 45% of all trips, respectively. Participants completed 67% of “shopping” trips and 72% of “medical” trips in urban areas with 76% of “social” trips in rural areas. Rural participants were able to meet many of their life maintenance and higher order needs in rural areas, suggesting that transportation access to urban areas cannot be the sole impetus of transportation policy for non-drivers.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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