Research Article
Time-Domain Characteristics of Residential Parking and SEM-BL Integration Model of Parking Method Choice Behaviour
Table 6
Parking turnover rate in residential area.
| Sequence number | Residential district name | Type | Working day | Holiday |
| 1 | Longhu Nanyuan | High-level | 0.98 | 1.02 | 2 | Luneng star city | High-level | 0.96 | 0.99 | 3 | Ao Yuan district | Mid-level | 1.06 | 1.12 | 4 | Lishui Jing Yuan | Mid-level | 1.04 | 1.08 | 5 | Moonlit river in spring | Mid-level | 1.02 | 1.07 | 6 | Jin Sheng building | Apartment | 3.21 | 3.89 | 7 | Good world department | Apartment | 2.56 | 2.93 | 8 | Sweet central department | Apartment | 2.31 | 2.84 |
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