Table 10.
Simulation result.
| Release Type | Internal Demand | Lambda External Demand | Number of Reservations Accepted | Acceptance Ratio | Revenue (in NT$) * |
|---|---|---|---|---|---|
| Dynamic: based on forecasting result | Artificial data | High | 1786 | 100% | 339,990 |
| Dynamic: based on forecasting result | Artificial data | Low | 1125 | 100% | 219,510 |
| Dynamic: based on forecasting result | Real data | High | 1758 | 98% | 334,410 |
| Fix: 20 spaces released | Real data | High | 786 | 44% | 138,990 |
| Fix: 50 spaces released | Real data | High | 1367 | 77% | 250,080 |
| Fix: 100 spaces released | Real data | High | 1650 | 92% | 310,410 |
| Dynamic: based on forecasting result | Real data | Low | 1125 | 100% | 219,510 |
| Fix: 20 spaces released | Real data | Low | 645 | 57% | 116,520 |
| Fix: 50 spaces released | Real data | Low | 1036 | 92% | 200,250 |
| Fix: 100 spaces released | Real data | Low | 1125 | 100% | 219,510 |
*: With assumed parking rate NT$30/h. Revenue = Total hour of rented × parking rate/hour.