Understanding the Operational Efficiency of Bicycle-Sharing Based on the Influencing Factor Analyses: A Case Study in Nanjing, China

Table 5

Correlation analysis between the capacity utilization rate and factors.

Correlative factor	Average temperature	The number of rental stations	Population density
Pearson correlation coefficient	0.555	0.787	0.514
value (two-sided test)	0.001	0.000	0.004

Note.^∗∗indicates a correlation at the significance level of 0.01.