Analyzing Household Vehicle Ownership in the Japanese Local City: Case Study in Toyota City

Table 5

Estimation result of the proposed model (N = 14,855).

Explanatory variable	Posterior mean	Posterior standard deviation	95% BCI
Number of light motor vehicles (0, 1, or ≥ 2) [threshold values: −0.431 and 0.431]: ordered probit model
Age 60 (dummy)	−0.085	0.015	(−0.11, −0.06)
Female (dummy)	0.109	0.017	(0.08, 0.14)
Member 25	0.111	0.009	(0.09, 0.13)
Workers	0.052	0.013	(0.03, 0.08)
Log (population density)	−0.061	0.005	(−0.07, −0.05)
Density of railway stations	−0.039	0.024	(−0.09, 0.01)
Annual income (10 million JPY)	−0.026	0.021	(−0.07, 0.02)
Constant	−0.517	0.044	(−0.60, −0.43)
Number of ordinary motor vehicles (0, 1, or ≥ 2) [threshold values: −0.431 and 0.431]: ordered probit model
Age 60 (dummy)	−0.242	0.013	(−0.27, −0.22)
Female (dummy)	−0.060	0.015	(−0.09, −0.03)
Member 25	0.089	0.009	(0.07, 0.11)
Workers	0.189	0.012	(0.17, 0.21)
Log (population density)	0.006	0.005	(0.00, 0.02)
Density of railway stations	−0.016	0.020	(−0.06, 0.02)
Annual income (10 million JPY)	0.060	0.019	(0.02, 0.10)
Constant	−0.327	0.040	(−0.41, −0.25)
Number of small trucks (0, 1, or ≥ 2) [threshold values: −0.431 and 0.431]: ordered probit model
Age 60 (dummy)	0.251	0.023	(0.21, 0.30)
Female (dummy)	−0.040	0.027	(−0.09, 0.01)
Member 25	−0.026	0.014	(−0.05, 0.00)
Workers	0.137	0.019	(0.10, 0.18)
Farmer (dummy)	0.610	0.039	(0.53, 0.69)
Log (population density)	−0.119	0.007	(−0.13, −0.11)
Annual income (10 million JPY)	0.035	0.027	(−.02, 0.09)
Constant	−0.817	0.055	(−0.92, −0.71)

Contents in bold and italic indicate that variables are significant with a 95% Bayesian credible interval.