The origin-destination matrix as an indicator of intrahousehold travel allocation
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
Subareas throughout a city may be viewed as both daytime destinations for some persons as well as residence (or nighttime) locations for some households. Associated with the average household in each subarea is the distribution of its members by their daytime destinations. Travel allocation of individuals by their principal subarea of daytime destination can be thus constructed for the average household in each subarea throughout a city. Intrahousehold allocation of daytime destinations can thus be represented in a convenient tabular form, the household composition matrix. Further interpretation shows the household composition matrix to be a special case of an origin-destination (O-D) matrix representing commuter volumes between subareas of nighttime and daytime location. Formal features of the household composition matrix, furthermore, render it equivalent to the Leontief input-output matrix. The relationship between intrahousehold travel allocation and household composition, as an O-D matrix, emerges to be of particular importance within the context of Leontief's input-output concept. Application to the Seoul Metropolitan Area indicates a discernable pattern in intrahousehold travel allocation when ordering of the household composition matrix is based on ratios between daytime and nighttime populations across the city's subareas.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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