Research Article
A Hierarchical Passenger Mobility Prediction Model Applicable to Large Crowding Events
Table 2
List of prediction features for TMF.
| | Category | Feature | Explanation | Estimate |
| | A | Monday | If the day is a Monday | 0.013 | | Tuesday | If the day is a Tuesday | 0.013 | | Wednesday | If the day is a Wednesday | 0.012 | | Thursday | If the day is a Thursday | 0.012 | | Friday | If the day is a Friday | 0.012 | | Saturday | If the day is a Saturday | −0.021 | | Sunday | If the day is a Sunday | −0.046 | | Holiday | If the day is a holiday | 0 | | Previous day | If the passenger had a trip in the previous day | 0.007 | | B | Travel frequency | Number of days with trips in the past 20 days | −0.002 | | Nontravel days | Number of consecutive days without trips prior to the day | 0.001 | | C | Number of potential trips | Number of observed trips minuses average number of trips in a day | 0.060 |
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