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

Table 5

Logistic regressions for number of subsistence, maintenance, and leisure activities (binary).

	Number of subsistence activities				Number of maintenance activities				Number of leisure activities
	Female		Male		Female		Male		Female		Male
	Estimate	Wald	Estimate	Wald	Estimate	Wald	Estimate	Wald		Wald		Wald
Job-none	−1.516	85.099	−1.595	99.451	1.564	91.747	1.690	113.168	—	—	—	—
Age-under 30	1.014	19.620	0.176	1.756	−1.080	22.257	0.160	1.599	−2.629	7.078	−2.290	6.046
Age-30 to 50	1.109	40.594	0.432	10.804	−1.168	45.580	−0.459	12.374	−0.997	6.638	−1.741	23.493
Educational level-low	−0.624	15.226	−0.552	14.885	0.607	14.490	0.549	14.916	−0.997	4.043	−1.237	9.333
Educational level-middle	−0.208	4.114	−0.339	7.765	0.192	2.802	0.370	9.376	−0.227	1.240	−0.877	51.186
Bicycles and electric bicycles-none	—	—	−0.351	5.608	—	—	−0.351	5.715	—	—	—	—
Annual family income-under 20,000¥	—	—	−0.397	6.693	—	—	−0.365	6.977	—	—	—	—
Annual family income-20,000-50,000¥	—	—	−0.084	1.508	—	—	−0.170	4.363	—	—	—	—
Children under school age-none	—	—	—	—	−0.161	5.672	—	—	2.736	5.215	—	—
Duration of subsistence activities	0.219	107.581	0.067	12.858	−0.231	122.596	−0.102	32.542	−0.209	5.826	−0.117	8.657
Duration of maintenance activities	−0.391	34.092	−0.658	98.864	0.364	31.269	0.586	87.155	—	—	—	—
Duration of leisure activities	−0.353	12.070	−0.479	37.950	—	—	—	—	7.979	40.745	6.791	176.224
Evaluation of the model
Valid cases	1810		1845		1810		1845		1810		1846
Nagelkerke square	0.681		0.574		0.638		0.656		0.911		0.844

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