Sustainable urban mobility plan at La Manga Del Mar Menor (Spain)
Bibliographic record
Abstract
La Manga del Mar Menor is a spit between the Mediterranean Sea and the Minor Sea. The dimensions of this sandbar are about 20 km length and about 100 m of average wide, with only one access at South by landside. Due to its natural attractive, beaches, weather, gastronomy and diversity of leisure options, La Manga is the main seaside tourist town in the Region of Murcia (Spain). It is an attractive area, mainly in July and August, when traffic problems increase significantly. Note that, because of its dimensions there is only one access route and one exit route. This physical limitation makes congestion worse because there is not enough space to alternative routes. Moreover, all external effects related to traffic, such as noise and pollution, also increase. These effects damage the initial quality of life of this area and cast serious doubts on his sustainability.\nA Sustainable Urban Mobility Plan (SUMP) has been developed at La Manga in order to encourage sustainable mobility through a rational use of the private car and to ensure and make easier the intermodality among public transport, bicycles and pedestrian areas. Two packages of measures have been developed. Specifically, infrastructural measures focus on improving sustainable mobility. For example, a dissuasive car park near to intermodal area to connect all transport mode easily, measures to improve fluidity of local buses or safe cycle-lines. All these measures are evaluated economically. The other package of measures is focused on economic measures, such as intermodal transport card or environmental taxes. These measures are described qualitatively.\nCurrently, the local government is studying all proposals in order to agree on clear responsibilities and, allocate budgets to put them into practice, to transform La Manga in a place with quality of life throughout years.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".