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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