Equitable transportation and resilience hubs: Analysis of underserved population needs, usage, and travel behaviour
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
• We assessed resilience hub usage and mode by underserved groups from survey data. • Underserved individuals would be likely to use a resilience hub during emergencies. • Statistical differences between underserved and non-underserved groups varied. • Certain intersecting groups exhibited unique and significant hub usage patterns. • Varied mode choice to/from hubs indicates more multi-modal design and planning. Extreme weather events and other hazardous events often require a range of strategies to safely shelter people, distribute resources, and facilitate recovery efforts. This is particularly important for underserved populations who usually lack reliable access to shelters, transportation, and social networks. To begin addressing these problems and increase community capacity, resilience hubs – physical locations that support residents in emergencies and everyday conditions – have emerged as a possible equitable strategy. Despite potential benefits for underserved populations, research and practice have yet to consider how different demographic groups will use or travel to/from these hubs. To address these gaps, we conducted an empirical study using survey data from 950 respondents in the Edmonton Metropolitan Region in Alberta, Canada. Of these respondents, we focused on several underserved groups. Simple descriptive statistics and statistical tests were used to understand the groups’ needs and observe similarities and divergences between groups. We also calculated spatial statistics to identify how mode choices varied with people’s preferred resilience hub locations. We found a high willingness of groups to use resilience hubs, especially in emergency conditions. However, differences between groups and with non-underserved groups were relatively moderate and varied. Respondents prioritized a range of basic services along with transportation-related elements, including accessibility for individuals with disabilities, transit connections, parking, and walkability. Moreover, our mode choice analysis highlighted the necessity of incorporating multimodal transportation options to resilience hubs. We offer several policy recommendations that inform the equitable development of resilience hubs, including the importance of local placement and needs-based services.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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