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

Table 8

Parameters and coefficients’ estimated values in inflow model.

Parameter	Estimated value	Parameter	Estimated value	Parameter	Estimated value
	83.3969		-6.9867		0.0000
	−2.7587		4.9349		−7.1934
	2.2415		−9.2338		6.9266
	19.2002		7.1613		7.7667
	−5.8607		6.2249		−11.6402
	7.0240		7.4451		−8.1153
	−5.3885		−3.2830		12.2151
	6.3915		−3.9637		7.7834
	8.9447		−3.3035		6.9951
	3.6900		6.6822		−9.3924
	−2.0702		13.0168		9.0235
	−3.7502		−23.3411		3.6491
	13.6733		−5.1993		−8.0170
	6.4144		10.5969		−11.4879
	149.9000		5.8249		45.6391
	−13.2663		−7.9995		−7.6196
	−3.3590		2.3723		3.9504
	2.8811		−6.6928		−3.8184
	−9.4576		5.3987		8.0614
	4.1217		4.1922		−5.3234
	0.0000		3.2082		−7.6699
	−3.2024		4.9134		−5.8581
	−33.6326		−8.4073		−10.0074
	13.1721		15.8291		−8.4513
	7.2430		−7.5476		27.2642
	21.4611		0.2386		13.8721
	−4.1276		−4.1264		−6.2522
	37.6117		8.5244		2.7554
	−3.5742		5.4584		8.4834
	−11.5428		−5.0782		−9.8788
	−46.8318		−3.0379		35.5544
	0.9829		−10.1715		9.7980
	9.3570		8.9434		−1.2067
	7.7032		−3.0838		−6.3799
	−3.2671		−3.3837		4.3948
	−5.1777		2.1052		7.2570
	−8.6607		−3.8903		−1.8437
	7.8410		−9.8123		1.2370
	−8.3185		18.4531		−14.0662
	3.8894		−11.1164		9.0092
	−3.2873		5.0392		−6.2830