Redesigning streets for micromobility: improving mobility and access to transportation for less able users
Bibliographic record
Abstract
Transit oriented development and transit social equity have been emerging topics among solving urban mobility challenges. Of particular interest are first-last mile trips, which refers to the movement of people and goods from its transportation hub to its final destination. Micromobility has been found to be key in solving the first-last mile problem. Currently, little research has been completed on micromobility, and no design guidelines exist to guide planners, urban designers, and decision-makers on how to plan for the upcoming mode of transport. This study aspires to provide preliminary street design guidelines for micromobility integrated into existing urban streets. To model new micromobility street design guidelines, streets are redesigned in Toronto and Hong Kong, demonstrating how streets will function in two very different municipal contexts. It is strongly recommended for future streets fitted with micromobility, to design for universal use to address the rapidly ageing and diverse urban populations. Key Words: Urban Design, Streets, Micromobility, Transit Oriented Development, Active Ageing
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".