Research Article
Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
Table 2
Conversion value of independent variables.
| Independent variables | Category | Conversion value |
| Gender (x1) | Male | 1 | Female | 2 |
| Age (x2) | <10 | 1 | 10–19 | 2 | 20–29 | 3 | 30–39 | 4 | 40–49 | 5 | 50–59 | 6 | ≥60 | 7 |
| Occupation (x3) | Have a regular occupation | 1 | No fixed occupation | 2 |
| Income level (x4) | <10 thousand yuan | 1 | 10 thousand yuan—20 thousand yuan | 2 | 20 thousand yuan—50 thousand yuan | 3 | >50 thousand yuan | 4 |
| Family car ownership (x5) | Yes | 1 | No | 2 |
| Frequency of trips to Yangzhou (x6) | First time | 1 | Second time | 2 | > Second time | 3 |
| Purpose of travel (x7) | Leisure travel | 1 | Nonleisure travel | 2 |
| Tour schedule (x8) | One day | 1 | Multidays | 2 |
| Self-driving tour or group tour (x9) | Self-driving | 1 | Group tour | 2 |
| Composition of people traveling together (x10) | Have elderly or children | 1 | No elderly or children | 2 |
| The number of attractions planned to visit (x11) | ≤3 | 1 | >3 | 2 |
| Real-time information acquisition (x12) | Yes | 1 | No | 2 |
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