Research Article

Modeling Spatial Riding Characteristics of Bike-Sharing Users Using Hotspot Areas-Based Association Rule Mining

Table 7

The statistics of rules from Model 1.

Demand scenariosThe most significant rulesThe most essential POI (frequency is in parentheses)

R1--
R2I2, J3 - > R2 (1.0014%, 50%)I2 (1), J3 (1)
R3J3 - > R3 (3.301%, 46.354%); A3 - > R3 (2.918%, 48.163%)A3 (3), B1 (1), C3 (1), E4 (3), F2 (1), G3 (2), H3 (1), I4 (1), J3 (4), K3 (1), L3 (1), M3 (2)
B1, K3 - > R3 (2.213%, 44.307%); A3, J3- > R3 (2.089%, 51.524%)
E4, L3 - > R3 (1.001%, 49.390%); E4, H3- > R3 (1.001%, 49.390%)
C3, M3- > R3 (1.00%, 40.5%); A3, G3, J3- > R3 (1.013%, 55.405%)
E4, I4- > R3 (1.026%, 76.147%); A3, G3, J3 - > R3 (1.014%, 55.405%)
R4G2- > R4 (8.023%, 43.324%); A2 - > R4 (7.158%, 42.387%)A2 (3), B1 (1), D2 (4), F2 (1), G2 (5), H2 (2)
D2, G2- > R4 (7.108%, 45.169%); A2, D2 - > R4 (6.342%, 43.771%)
B1, G2- > R4 (6.293%, 42.488%); K2- > R4 (6.268%, 41.728%)
A2, G2- > R4 (6.243%, 47.732%); D2, H2- > R4 (6.1565%, 41.3965%)
D2, F2- > R4 (6.144%, 40.605%) G2, H2 - > R4 (6.144%, 45.764%)
R5B1- > R5 (77.661%, 82.680%) G1- > R5 (73.9028%, 96.3261%)A1 (2), B1 (5), G1 (3), H1 (2), K1 (3)
B1, G1- > R5 (73.198%, 96.433%); H1 - > R5 (73.186%, 96.057%)
K1- > R5 (73.1611%, 96.8893%); A1 - > R5 (72.704%, 97.046%)
B1, H1- > R5 (72.667%, 96.124%); B1, K1- > R5 (72.555%, 96.928%)
A1, B1- > R5 (72.222%, 97.075%); G1, K1- > R5 (71.913%, 97.274%)