Mixed Multinomial Probit Model Accommodating Flexible Covariance Structure and Random Taste Variation: An Application to Commute Mode Choice Behavior

Table 4

Sample characteristics (N = 1743).

Categorical variables	Categories		Percentage (%)
Gender	Male		45.439
	Female		54.561
Age	Younger than 20 years		2.811
	21–30 years		34.079
	31–40 years		46.242
	41–50 years		13.827
	Above 50 years		3.041
Marital status	Married		72.060
	Unmarried		27.940
Driving license	Own		75.961
	Does not own		24.039
Residential type	Family		87.722
	Dormitory		11.819
	Other		0.459
Education attainment	Less than high school		1.549
	High school		6.311
	Bachelor’s degree		78.543
	Graduate degree		13.597
Personal monthly income (RMB yuan)	Less than 2k		2.754
	2k–4.5k		8.319
	4.5k–6k		14.974
	6k–8k		17.843
	8k–10k		20.023
	10k–15k		20.367
	15k–20k		7.975
	20k–30k		5.221
	Greater than 30 k		2.524
Private vehicles	Car		62.192
	Electric bicycle		29.260
	Bicycle		30.293
	Motorcycle		2.008
Continuous variables		Mean	S.D.
Personal income^(1) (10k RMB Yuan/month)		1.018	0.638
Population density (thousand people per square kilometer)	Origin TAZ	2.538	2.178
	Destination TAZ	1.252	1.855
Employment density (thousand people per square kilometer)	Origin TAZ	1.794	1.994
	Destination TAZ	2.367	2.704

(1) The continuous variable “Personal Income” was generated from the categorical variable “Personal Monthly Income.” The exchange rate of RMB Yuan to the US dollar is approximately 6.9 : 1.