Road pricing and (re)location decisions households



4.2 Explanatory characteristics for relocation choice

4.2.1 Residential relocation

Table 6 gives the results of an ordered probit analysis aimed at getting insight into
explanatory variables for the probability of moving to a residential location closer to work due
to the introduction of a kilometre charge. For the analyses the relocation probabilities
observed for the first three pricing measures (see table 1) were combined. Explanatory
variables for the cordon charge are not presented in this paper (i.e. measures 4 and 5).
Furthermore, to be able to study the explanatory characteristics of changing locations
specifically initiated by a road pricing measure, respondents that indicated to have a
moderately high, high or extremely high possibility of changing their residential location
within 2 years (for whatever reason) were removed from the dataset. In total a range of about
30 variables were tested on significance. The variables consisted of various socio-economic
characteristics (e.g. income, household size, age, education level) and furthermore of other
household related and various trip and price measure related characteristics. Finally also
attitudes and perception characteristics were tested. Only variables significant with a
reliability of at least 90 percent are presented in the table.

Table 6: results analysis of probability of moving house closer to work (ordered probit) due to a km charge

Coefficient

T-value

P-value

Constant

0.0114

0.056

0.9555

Personal, work and trip related characteristics

dummy yearly gross household income high (>68000 euro =1)

0.4052

2.799

0.0051

dummy living alone (yes=1)

-0.2472

-1.794

0.0728

dummy owned house (yes=1)

-0.4060

-3.343

0.0008

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

-0.2582

-2.379

0.0173

dummy size municipality (50.000 inhab.=1)

-0.2440

-2.352

0.0187

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

-0.4784

-3.748

0.0002

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

0.4537

3.479

0.0005

dummy car medium weight (yes=1)

0.2610

2.540

0.0111

dummy gasoline car (yes=1)

-0.3491

-2.875

0.0040

Perceptions and behavioural changes

dummy perception of being better of due to measure (better of =1)

-0.4859

-2.454

0.0141

dummy adjusting short term trip behaviour due to rp measure (yes=1)

0.2914

2.178

0.0294

dummy prob. changing job due to rp measure (quite to high prob=1)

0.3384

2.283

0.0224

И1

1.173

Ц2

1.769

Log likelihood (constants)

Log likelihood (convergence)

X2

-540.6

-488.5

104.2

12



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