Impacts of long-term transit system disruptions and transitional periods on travelers: a systematic review
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
Governments around the world are heavily investing in building new transit infrastructures and expanding existing ones. The construction of these projects does not happen overnight and can lead to extended long-term disruptions in the transit network, which can have undesirable impacts. Research regarding such disruptive periods, or transitional periods, seems to be thematically and geographically dispersed in the literature. Similarly, a consolidated understanding of the impacts of long-term transit service disruptions due to other causes, such as labor strikes and transit system failures, on travelers’ behavior seems missing from the literature. Using a systematic review method, this study aims at providing a comprehensive review of the academic literature that focused on analyzing the impacts of the aforementioned issues on transit users’ travel behavior and perceptions, while understanding the mitigation strategies applied to address these effects. Given the wide array of disruption types, durations, spatial coverage, and the modes affected, the review indicates a dearth of knowledge regarding their impacts along with a very limited understanding of the relative benefits of mitigation strategies. The most common impacts are mode changes. Some evidence, which is rather limited, shows that transit users did return to their previous travel behavior after the end of long-term service disruptions. The study offers a better understanding of the relative impacts of transit systems’ long-term disruptions and transitional periods, while highlighting important gaps in the current literature.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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