How Do Sociodemographics and Activity Participations Affect Activity-Travel? Comparative Study between Women and Men

Table 4

Binary logistic regressions for number of subsistence, maintenance, and leisure trip chains.

	Number of subsistence trip chain				Number of maintenance trip chain				Number of leisure trip chain
	Female		Male		Female		Male		Female		Male
		Wald		Wald		Wald		Wald		Wald		Wald
Job-none	−3.584	263.391	−2.720	123.034	—	—	—	—	—	—	—	—
Age	57.583		46.300		12.72		7.750		8.106		21.219
Under 30	2.884	25.320	1.540	6.975	−1.035	7.232	−0.631	2.166	−1.346	6.662	−1.750	4.888
30–50	1.528	46.832	1.801	44.193	−0.168	0.622	−0.590	7.266	−0.633	6.998	−1.439	19.245
Driving license-Has not held	—	—	—	—	—	—	—	—	1.279	6.549	—	—
Educational level	50.883		19.916		9.819		—		5.318		6.772
Low	−2.842	37.221	−1.565	19.762	0.854	9.322	—	—	−1.304	3.965	−0.825	5.046
Middle	−1.771	14.253	−1.285	13.401	0.530	3.957	—	—	−0.347	0.520	−0.825	5.256
Bicycles and electric bicycles-none	—	—	−0.658	5.332	—	—	−0.303	4.433	—	—	—	—
Cars-none	0.729	4.371	—	—	—	—	0.309	4.572	—	—	—	—
Annual family income	—		8.842		—		—		—		—
Under 20,000¥	—	—	−0.978	8.767	—	—	—	—	—	—	—	—
20,000-50,000¥	—	—	−0.575	3.536	—	—	—	—	—	—	—	—
Children under school age-none	—	—	—	—	−0.368	6.993	—	—	1.246	7.593	—	—
Duration of subsistence activities	—	—	—	—	−0.295	137.471	−0.254	89.400	−0.144	8.799	−0.392	6.023
Duration of maintenance activities	−1.256	95.551	−1.340	138.619	2.346	211.291	2.361	208.790	—	—	—	—
Duration of leisure activities	−0.847	32.149	−1.015	70.220	—	—	—	—	5.924	240.154	5.380	227.134
Constant	4.232	56.310	5.012	126.814	−0.495	4.119	−0.432	5.284	−4.346	20.770	−1.784	25.264
Nagelkerke	0.831		0.789		0.797		0.682		0.818		0.807

The omitted parameter is set to zero because it is treated as reference category.