From: Estimating local commuting patterns from geolocated Twitter data
Commuting type | CPC score | Difference from baseline |
---|---|---|
All (baseline) | 0.825 (0.815-0.835) | |
Gender | ||
Male only | 0.784 (0.773-0.795) | −0.041∗ |
Female only | 0.843 (0.835-0.852) | 0.018 |
Age | ||
16-24 | 0.823 (0.813-0.832) | −0.002 |
25-34 | 0.760 (0.748-0.771) | −0.065∗ |
35-49 | 0.816 (0.806-0.827) | −0.009 |
50-64 | 0.827 (0.817-0.836) | 0.002 |
65-74 | 0.791 (0.781-0.801) | −0.034∗ |
75+ | 0.770 (0.758-0.782) | −0.055∗ |
Social Class | ||
AB | 0.719 (0.707-0.730) | −0.106∗ |
C1 | 0.804 (0.794-0.813) | −0.021∗ |
C2 | 0.814 (0.804-0.824) | −0.011 |
DE | 0.795 (0.785-0.804) | −0.030∗ |