From: Weak signals in the mobility landscape: car sharing in ten European cities
City | Cluster Type | Count | Exp. (rand) | Test Stat. | p-value |
---|---|---|---|---|---|
Amsterdam | day | 753 | 726.56 | 2.22 | 1.33e − 02 |
night | 132 | 53.13 | 12.40 | 1.25e − 35 | |
Berlin | neutral | 1623 | 1571.39 | 2.44 | 7.42e − 03 |
night | 501 | 295.93 | 14.81 | 6.38e − 50 | |
day | 254 | 65.88 | 25.53 | 4.31e − 144 | |
Florence | day | 400 | 403.76 | −0.33 | \( 6.29\mbox{e}{-}01^{(\dagger )}\) |
night | 109 | 86.40 | 2.95 | 1.60e − 03 | |
Copenhagen | day | 385 | 385.50 | −0.05 | \( 5.22\mbox{e}{-}01^{(\dagger )}\) |
night | 86 | 59.11 | 4.37 | 6.18e − 06 | |
Milan | neutral | 837 | 793.31 | 2.82 | 2.40e − 03 |
night | 349 | 174.15 | 16.54 | 9.25e − 62 | |
day | 89 | 10.18 | 26.01 | 1.92e − 149 | |
Munich | neutral | 613 | 588.51 | 1.64 | \( 5.10\mbox{e}{-}02^{(\dagger )}\) |
night | 221 | 98.37 | 14.37 | 3.95e − 47 | |
day | 82 | 26.10 | 11.79 | 2.13e − 32 | |
Rome | neutral | 623 | 609.62 | 0.90 | \( 1.84\mbox{e}{-}01^{(\dagger )}\) |
night | 163 | 88.58 | 9.24 | 1.26e − 20 | |
day | 265 | 75.74 | 25.09 | 3.35e − 139 | |
Stockholm | neutral | 192 | 198.33 | −0.69 | \( 7.56\mbox{e}{-}01^{(\dagger )}\) |
night | 66 | 50.95 | 2.53 | 5.72e − 03 | |
day | 22 | 9.13 | 4.60 | 2.10e − 06 | |
Turin | neutral | 422 | 408.32 | 1.26 | \( 1.04\mbox{e}{-}01^{(\dagger )}\) |
night | 152 | 100.44 | 6.61 | 1.96e − 11 | |
day | 41 | 4.01 | 19.43 | 2.20e − 84 | |
Vienna | night | 372 | 231.90 | 11.83 | 1.29e − 32 |
neutral | 657 | 599.45 | 3.75 | 8.80e − 05 | |
day | 85 | 18.59 | 16.45 | 3.90e − 61 |