Systemic Seismic Vulnerability of Transportation Networks and Emergency Facilities
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
In the aftermath of an earthquake, structural damage and debris represent major obstructions to the mobility of evacuees and first responders and to normal economic activities. Few studies have integrated the performance of urban road networks with obstructions from structural damage and its impact on systemic vulnerability toward evacuation and emergency response operations. In this study, procedures to evaluate some of the impacts of debris have been proposed. A probabilistic model is developed and validated to estimate roadside debris generated during an earthquake and to evaluate the impact on systemic vulnerability. LaSalle, a borough of Montreal city, is taken as a case study. Systemic vulnerability of transportation networks and emergency facilities depends on the level of traffic in the road network, roadway capacity, proximity, robustness and redundancy of the emergency facilities, and the vulnerability of the built environment. The results from this analysis can be used to identify critical components and prioritize retrofits to the road network and the localization of emergency facilities and to prepare alternate emergency response plans.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it