A comparison of time series methods for post-COVID transit ridership forecasting
Transit agencies conduct system-level ridership forecasting for planning, budgeting, and other administrative purposes. However, the COVID-19 pandemic introduced substantial changes in transit ridership levels and seasonal patterns, which has impacted the performance of ridership forecasting. Althou...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
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| Series: | Journal of Public Transportation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1077291X24000171 |
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