Road pricing and (re)location decisions households



4.2.2 Searching for another job

The same kind of ordered probit analysis has been conducted for the probability of searching
another job due to road pricing. In this case respondents that indicated to have a moderately
high, high or extremely high possibility of changing job within 2 years (for whatever reason)
were removed from the dataset. The results of the analysis are presented in table 7.

Table 7: results analysis of probability of searching a job closer to home due to a km charge

Coefficient T-value P-value

Constant


0.5710     1.798     0.0722

Personal, work and trip related characteristics

dummy living alone (yes=1)

-0.5968

-1.832

0.0670

dummy living in a region with congestion problems (yes=1)

-0.2771

3.943

0.0001

dummy commute trip length single trip (≥25 km =1)

0.4069

3.175

0.0015

dummy working partner

0.5612

3.943

0.0001

dummy size municipality (≥50.000 inhab.=1)

-0.3182

-2.703

0.0069

dummy travel cost compensation employer (completely compens.=1)

-0.3356

-2.447

0.0144

dummy working hours/week (≥35 hours/week=1)

0.2608

1.868

0.0617

dummy heavy car (yes=1)

-0.7086

-3.779

0.0002

dummy car medium weight (yes=1)

-0.3220

-2.033

0.0421

dummy gasoline car (yes=1)

-0.4425

-3.035

0.0024

dummy number of cars in household (≥2 cars=1)

-0.4378

-3.619

0.0003

Perceptions and behavioural changes

dummy house satisfaction (satisfied=1)

-0.3663

-2.094

0.0363

dummy acceptability of rp measues (quite to high prob=1)

-0.3444

-2.257

0.0240

dummy prob. moving house due to rp measure (quite to high prob=1)

0.7677

2.698

0.0070

μι
μ.∙

1.010

1.637

Log likelihood (constants)
Log likelihood (convergence)

-484.0

-431.9

104.2


x2

Various significant explanatory factors in table 6 can also be found in table 7: living alone,
living in a bigger city, getting a travel cost compensation, working 35 hours or more per
week, driving a car on gasoline. The sign of the coefficients in this case is in line with table 6.
A difference between table 6 and 7 is the sign for the car with a medium weight. Another
significant characteristic in table 7 is commuting distance; respondents with a higher distance
show a higher probability of changing job location. This can be explained by the higher toll
costs commuters have to pay when having a higher commute distance.

Looking at perceptions, we find a negative relation between house satisfaction and the
relocation probability. This means that respondents having a higher house satisfaction seem to
have a lower probability of searching for another job. Furthermore, as could be expected a

14



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