Opportunity in Transit: Bus Stop Crowding and Crime
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
Fifty years after the introduction of the Crime as Opportunity theory, this paper applies its core insights to a micro-temporal empirical setting to examine how short-lived fluctuations in urban mobility shape street crime. While transit nodes are recognized as crime generators, previous research has remained largely descriptive and constrained by coarse temporal resolutions that overlook short-term opportunity fluctuations. We address this gap by assessing whether brief periods of crowding at bus stops causally increase police reports of non-violent property street crimes-offenses highly dependent on opportunity structures. Leveraging high-resolution spatial data from Montevideo, Uruguay, we implement an imputation difference-indifferences estimator to isolate intra-day variation in passenger flows and test opportunity theory at a micro-temporal scale. Our findings reveal offense-specific selectivity: short-term crowding peaks significantly elevate theft risk, whereas no significant effects are detected for robberies. These results indicate that non-violent property crimes are more sensitive to the presence of opportunity, showing that routine and transient mobility fluctuations exert immediate effects on street crime by reshaping the distribution of opportunities in urban environments.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| 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