Prediction of "L" Train’s Daily Ridership in Downtown Chicago During the COVID-19 Pandemic
In this study, we utilized a random forest model to predict the "L" train’s daily ridership in the Chicago downtown area during the pandemic based on environmental, transportation, and COVID-19-related factors. The results indicated that the model accurately predicts ridership one month in...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2021-12-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.30181 |
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