Simulating Campus Evacuation: Case of York University
Bibliographic record
Abstract
University campuses possess a unique dynamic different than any businesses or grade schools and require a unique perspective when it comes to emergency evacuations. While Universities in North America came across all types of hazards (natural, conflict, and technology) requiring a campus evacuations, the ever-present of these incidences cause one to wonder whether the created plan would ensure sufficient time for the campus community to safely evacuate. As a case study, the York University's Keele campus was selected for its unique surrounding environment (MacMillan Yard, railways lines, fuel storage depot, and Black Creek) and AnyLogic as the program of choice for the agent-based simulation. The model reproduced the number of students (agents) registered during the winter semester of 2014. The weekly cycle runs continuously until informed of an evacuation. The agents then proceeded through four evacuation stages. Overall, the model assisted in visualizing the spatial distribution of agents, understanding peaks in agent populations, the total population in buildings and on campus, and the buildings utilized.
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 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 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".