Machine Learning Approach to Quantity Management for Long-Term Sustainable Development of Dockless Public Bike: Case of Shenzhen in China

Table 2

The description of four clusters.

Cluster	A	B	C	D
Description	High inefficient	Normal inefficient	High efficient	Normal efficient
z_	1.03	−0.73	−0.52	−0.55
z_	−0.39	−0.59	2.35	0.75
Abn_DAY	416	185	213	209
cv	0.12	0.09	0.55	0.30
Abn_DAY cv	51	17	117	63
Total available bike number	78588	31574	9986	17705
Cluster number	189	171	47	85