The demand for urban transport: An application of discrete choice model for Cadiz



Chart 2. Esteem of demand of transport in Cadiz. Dependet variable: Probabolity to
travel in private transport.

Variable

Coefficient

Statistic t

Probability

C

2,3933

2,078

0,0376

Difference in time

-0,0687

-3,588

0,0003

Difference in price

-0,0260

-3,036

0,0024

Head of family

0,4807

1,938

0,0525

Sex

0,4664

1,856

0,0634

Profession 1

-0,3406

-1,080

0,2799

Profession 2

-0,1968

-0,855

0,3922

Age >35 years

0,2868

1,464

0,1431

N

262

LR Statistic

58,4806

Log (L)

-146,3331

Probab. (LR Stat.)

0,0000

Rest. Log (L)

-175,5734

MacFadden R-Squa.

0,1665

Source: Own Elaboration.

Chart 3. Esteem of demand of transport in Cadiz. Dependent variable: Probability to
travel in private transport.

Variable

Coefficient

Statistic t

Probability

C

4,0619

2,642

0,0082

Difference in time

-0,0939

-3,362

0,0008

Difference in price

-0,0299

-2,689

0,0072

Head of family

0,3505

1,125

0,2605

Sex

0,1978

0,555

0,5782

Profession 1

-0,2808

-0,584

0,5591

Profession 2

-0,6477

-1,736

0,0826

Age >35 years

0,0115

0,045

0,9634

N

192

LR Statistic

31,30829

Log (L)

-77,00075

Probab. (LR Stat.)

0,0000

Rest. Log (L)

-92,65489

MacFadden R-Squa.

0,1689

Source:Own Elaboration.



More intriguing information

1. Mergers under endogenous minimum quality standard: a note
2. The name is absent
3. The name is absent
4. Towards a framework for critical citizenship education
5. Concerns for Equity and the Optimal Co-Payments for Publicly Provided Health Care
6. Innovation Trajectories in Honduras’ Coffee Value Chain. Public and Private Influence on the Use of New Knowledge and Technology among Coffee Growers
7. FDI Implications of Recent European Court of Justice Decision on Corporation Tax Matters
8. Protocol for Past BP: a randomised controlled trial of different blood pressure targets for people with a history of stroke of transient ischaemic attack (TIA) in primary care
9. The name is absent
10. Gender and aquaculture: sharing the benefits equitably