Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students

Table 2

Results for negative binomial regression models and fractional response model.

	Negative binomial regression model							Fractional response model
	Adults		The elderly		Students			The elderly			Students
	Coef.	p-value	Coef.	p-value	Coef.		p-value	Coef.	p-value	AEEs	Coef.	p-value	AEEs
Station characteristics
Bus stops	0.030	<0.001			0.026	<0.001		−0.034	<0.001	−0.56%	0.007	0.047	0.04%
Road intersections	0.064	<0.001	−0.055	<0.001				−0.082	<0.001	−1.34%
Main urban area	1.240	<0.001	0.671	<0.001	0.474	<0.001		−0.259	<0.001	−4.23%	−0.350	<0.001	−2.19%
Entrances/exits	0.129	<0.001	0.033	0.004	0.090	<0.001		−0.093	<0.001	−1.51%
City facilities
Schools	0.080	<0.001	0.123	<0.001	0.142	<0.001		0.057	<0.001	0.94%	0.049	<0.001	0.31%
Hospitals	0.157	<0.001	0.267	<0.001	0.313	<0.001		0.064	0.014	1.05%
Supermarkets	0.136	<0.001	0.146	<0.001	0.121	<0.001		0.028	<0.001	0.46%	−0.021	0.035	−0.13%
Squares and parks	0.083	<0.001	0.087	<0.001	0.066	<0.001		0.019	0.009	0.32%
Scenic spots	−0.228	<0.001	0.077	0.009				0.335	<0.001	5.47%	−0.072	0.038	−0.45%
Constant	2.444		2.221		0.813				−0.548			−2.541
AIC	100195.10		74839.33		56993.95				9311.06			4545.48
BIC	100273.50		74917.73		57072.34				9382.33			4616.75

AEEs refer to the average elasticity effects.