The Influence of Education Level on Urban Travel Decision-making
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
Personal choices can be changed by educating citizens. Education and learning are decisive factors in shaping the society and its spatial forms, where higher education level is an important proxy to assess the awareness level of people about current issues, such as sustainable transportation. Linking education and travel behaviour can inspire future urban policies to provide modal shift towards sustainable modes. The paper aimed to evaluate the influence of education level on mode choices for 45 cities from 29 countries. In general, education level was controlled by population density and GDP per capita, which are the parameters significantly influencing travel behavior. The main result has demonstrated that an increase in the higher education level is connected with dropping the modal share of driving in cities more than any change in other studied factors, while an increase in population density reduces driving more than an increase in GDP per capita. The results have been assessed and it was showed that higher education level considerably affects travel mode choice in cities. Thus, educating citizens is an important path to reduce car dependency.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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