Table 4 Predicting the urban facility accessibility of out-of-sample neighborhoods.
From: Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities
Category | Input | NY | LA | Chi | Dal | Hou | DC |
|---|---|---|---|---|---|---|---|
Art & Recreation | mobility statistics | 14.13% | 3.04% | 9.72% | 8.17% | − 2.50% | 12.74% |
LINE embedding | 19.58% | 4.44% | 15.70% | 8.40% | 1.63% | 20.00% | |
node2vec embedding | 22.56% | 4.72% | 26.36% | 7.68% | 2.10% | 18.84% | |
CRANE embedding | 37.18% | 3.65% | 33.66% | 8.56% | 2.43% | 20.27% | |
Sports | mobility statistics | 5.79% | 0.57% | 6.89% | 5.16% | 5.94% | 3.35% |
LINE embedding | 4.97% | 1.01% | 7.61% | 6.66% | 7.92% | 4.56% | |
node2vec embedding | 4.71% | 0.88% | 7.12% | 6.71% | 8.17% | 4.16% | |
CRANE embedding | 5.98% | 1.06% | 7.94% | 7.29% | 8.36% | 5.03% | |
Education | mobility statistics | 17.90% | 7.79% | 24.23% | 8.58% | 4.85% | 10.54% |
LINE embedding | 20.72% | 10.66% | 30.16% | 9.20% | 10.26% | 7.79% | |
node2vec embedding | 23.49% | 11.01% | 28.15% | 12.28% | 11.25% | 13.29% | |
CRANE embedding | 35.39% | 11.95% | 31.54% | 14.99% | 10.16% | 14.27% | |
Health | mobility statistics | 95.45% | 277.39% | 18.15% | 27.07% | 25.51% | 39.90% |
LINE embedding | 78.44% | 292.94% | 21.61% | 15.83% | 34.46% | 33.15% | |
node2vec embedding | 100.61% | 266.29% | 19.39% | 22.07% | 36.78% | 33.70% | |
CRANE embedding | 105.14% | 276.85% | 22.36% | 33.84% | 44.34% | 32.09% |
