Exploratory Analysis of Mobility of Care in Montreal, Canada
Bibliographic record
Abstract
“Mobility of care” refers to the daily travel required to complete care labor such as travel to the grocery store, or to escort children. Though past research has examined the distribution of individual types of household-serving travel, little research to date, especially in the North American context, has examined mobility of care which combines all travel required to fulfill a household’s care needs. This paper presents the results of an exploratory analysis of mobility of care drawing on the 2018 Montreal Origin–Destination Survey. Specifically, this paper explores who completes this type of travel and how this mobility is completed. Findings indicate that mobility of care comprises 28% of adults’ daily mobility. Further, women are found to complete more of this type of travel than men, especially women from lower-income households. The presence of children in the household further widens this gendered gap, though the number of children present does not alter this trend greatly. Mobility of care trips are shorter on average than other types of travel and are frequently completed as part of a trip-chain. Further, car use and walking are more frequently used for mobility of care than other types of travel, while the opposite is true for public transport and cycling. The use of public transport for mobility of care trips is greater amongst women than men, especially those living in lower-income households. Taken together, results highlight the importance for practitioners to explicitly address mobility of care in transport planning, and particularly in public transport planning.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".