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- W4380488466 abstract "During the COVID-19 pandemic, orders such as a declaration of emergencies and shelter-in-place caused people to shift their travel behaviors to stay at home. It is unclear whether governmental orders, COVID-19 cases themselves, or a combination of both were the direct drivers causing the change to daily transit ridership. Using a popular Austin, TX, route to demonstrate the methodology, we developed three causal analysis models using the daily cumulative number of COVID-19 executive orders enacted by three levels of government as the mediation variables and COVID-19 cases to determine causality. The decrease in public transit ridership along Route 7 is partially mediated by orders from the city-level and federal-level orders, whereas orders by the state level fully explain the decrease in transit ridership, meaning, the increase in COVID-19 orders by the state governor seemed to directly decrease transit ridership. This case study shows the importance of state-level policy changes on public transit." @default.
- W4380488466 created "2023-06-14" @default.
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- W4380488466 date "2023-06-13" @default.
- W4380488466 modified "2023-09-28" @default.
- W4380488466 title "Causal Analysis of COVID-19 Government Interventions in Reducing Transit Ridership" @default.
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- W4380488466 doi "https://doi.org/10.1061/9780784484883.049" @default.
- W4380488466 hasPublicationYear "2023" @default.
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