Research Article
Understanding City-Wide Ride-Sourcing Travel Flow: A Geographically Weighted Regression Approach
Table 1
Statistics of variables in TAZs.
| Variables | Std. | Min | Mean | Max | Number of observations |
| Residential area (m2) | 1,496,802.67 | 0 | 685,900 | 6,439,900 | 70 | Beauty | 82.38 | 0 | 87.04 | 390 | 70 | Restaurant | 295.95 | 5 | 341.53 | 1,601 | 70 | Education | 22.46 | 0 | 22.89 | 99 | 70 | Enterprise | 637.43 | 65 | 769.69 | 2,938 | 70 | Medicine | 73.39 | 0 | 69.39 | 463 | 70 | Hotel | 70.35 | 1 | 59.80 | 394 | 70 | House | 1,079.30 | 13 | 1,216.43 | 6,069 | 70 | Entertainment | 989.75 | 33 | 961.39 | 5,780 | 70 | Tourist spots | 118.46 | 1 | 49.56 | 897 | 70 | Shopping | 704.54 | 5 | 681.47 | 4,068 | 70 | Bus | 29.42 | 6 | 60.39 | 144 | 70 | Subway | 1.59 | 0 | 1.09 | 6 | 70 | Flow (daily) | 7,937.51 | 0 | 24.32 | 71722 | 4,900 |
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Std.: standard deviation. |