Bibliographic record
Abstract
Transportation is a major contributor to greenhouse gas emissions. Any long-term plan to reduce, and eventually eliminate, fossil fuel use needs to include a transitioning of transportation energy to low-carbon sustainable sources. This book outlines the current transportation energy requirements and the primary sources of this energy. A detailed analysis of technologies appropriate for road transportation is included, and the application of sustainable technologies to rail, maritime and air transportation is discussed. Finally, a summary of the challenges involved in implementing sustainable transportation technologies and a quantitative analysis of how renewable energy production relates to the development of sustainable transportation are presented. The book is an invaluable reference for undergraduate and postgraduate science and engineering students with an interest in energy, transportation or environmental issues. Part of IOP Series in Renewable and Sustainable Power. Key features • Reviews the energy technologies that may be appropriate for future transportation needs. • Considers resource and environmental reasons for changing our approach to energy, as well as possible future energy sources and future energy needs. • Describes the scientific basis and application of all major technologies for road, rail, maritime and air transportation. • Provides a detailed quantitative analysis of the way in which future transportation energy can be integrated into global sustainable energy production. • Summarises the challenges involved in implementing sustainable transportation technologies.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.074 | 0.066 |
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".