somewhat higher housing costs and accept longer travel times in order to avoid (high) travel
costs. Furthermore, location related factors such the type of location and the number of
bedrooms seem to be important factors in a residential location choice too.
The dislike for travel costs seems to be even higher for respondents having a higher travel
time in reality. This finding on itself is somewhat in line with the observed result of
respondents with longer commute distances having a higher relocation probability under
influence of a kilometre charge. However, this comparison between datasets currently cannot
be made in a good way. To make the comparison, it is important to study the influence of the
differences in sample construction (i.e. dataset for relocation probability and the stated choice
experiment for location preferences) on the outcomes into more detail. Finally, respondents
with a higher household income were found to be less cost sensitive and therefore may be less
willing to move due to a road pricing measure. This result was not confirmed by results from
the relocation probability study.
Acknowledgements
This study forms a part of a PhD-research, in which the spatial effects of road pricing policies
are studied. Next to improvements in accessibility measures, the research will focus on
changes in destination and location choices of households and firms under road pricing
conditions. This PhD-research is a part of a project called a Multi-Disciplinary study of
Pricing policies In Transport (MD-PIT). In this project (next to the geographical perspective)
road-pricing effects are studied from an economic, traffic engineering and psychological
perspective. The MD-PIT project is funded by Connekt/NWO. We thank the reviewer for
helpful comments on the first version of this paper.
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