To bike or not to bike: Exploring cycling for commuting and non-commuting in Bangladesh
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
In recent years, Bangladesh has started moving its transportation vision towards achieving sustainability goals such as increasing bicycle infrastructure, sidewalks, reducing air pollution, etc. To contribute to the ongoing discussion, we explored factors that influence the use of bicycles for different trip purposes in Rajshahi, a medium-sized city in Bangladesh. A face-to-face household survey was conducted to collect individuals’ socio-demographic characteristics, their travel patterns for different trip purposes, and perceptions of the built environment. We developed four Integrated Choice and Latent Variable (ICLV) models to understand the influence of latent perceptions on bicycling for commuting and non-commuting (i.e., grocery shopping, going for tea, and recreational) trips. The analysis indicates that women are more likely to choose a bike for commuting trips but are less likely to use bikes for recreational trips. The results also show that the choice of commuting by bicycle is positively associated with commuting distance and negatively associated with residential land use. Walkability perception has a significant positive association with the choice of bikes for commuting and non-commuting trips. Road safety perception for active travel is positively associated with bike choice for recreational trips, and crime perception of the neighborhood is negatively associated with bike choice for grocery trips. The results from this study will be helpful for policymakers to understand and improve the built environment to attract individuals towards bike use.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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