Analysis of vehicle ownership evolution in montreal, canada using pseudo panel analysis

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TABLE 3: Elasticity Effects

Variables		0 Car	1 Car	2 Cars	≥ 2 Cars
Household Demographics
	No of Males	-6.284	-2.748	5.432	13.626
	Presence of Children
	less than 4 years	0.000	0.000	6.342	-29.751
	5-9 years	-12.075	-5.565	10.698	26.949
	10-14 years	-23.793	-2.881	19.542	3.815
	No of Middle Aged Adults	-2.049	-0.862	1.772	4.205
	Full-time Working Adults	-15.363	-7.280	19.759	6.841
	Part-time Working Adults	-8.957	-4.012	7.733	20.133
	No of Retirees	-12.414	3.677	2.908	-0.024
	No of Students	11.240	4.176	-9.616	-19.671
	No of License Holders	-75.827	-17.821	29.700	225.357
	Presence of Immobile Persons	9.678	3.812	-8.333	-18.203
Transit Accessibility Measures
	No of Bus Stops	0.597	0.245	-0.516	-1.184
	Length of Bus Lines (km)	0.572	0.131	-0.430	-0.712
	Length of Metro Lines (km)	0.990	-0.237	-0.283	-0.155
Land Use Measures
	Income
	Low Income (Less than 40K)	9.268	3.961	-8.398	-17.636
	High Income (Above 80K)	-9.766	-4.425	8.534	21.814
	Commercial	0.540	0.025	-0.317	-0.401
	Government and Institutional	0.868	0.025	-0.488	-0.634
	Open Area	-0.291	-0.397	0.393	1.850
	Park and Recreational	0.000	0.293	-0.280	-0.733
	Resource and Industrial	0.622	0.074	-0.400	-0.609
	Household Density	2.857	-0.166	-1.340	-1.602
	Boroughs
	Ville-Marie	12.460	4.576	-38.731	110.248
	Cote-des-Neiges	15.124	5.495	-12.961	-25.495
	Plateau-Mont-Royal * Year 2003	0.000	0.000	20.604	-96.653
	Plateau-Mont-Royal * Year 2008	25.780	8.313	-53.759	112.443

1 To conserve on space, the methodology employed for elasticity computation is not presented here (see Eluru and Bhat, 2007).

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