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|dc.description.abstract||An important key to reducing the environmental impact of
motor vehicles is to identify those in-services vehicles
which are likely to excessively contribute to air pollution.
Such an assessment is dependent on quantifying vehicle
scrappage which, in turn, relies upon the provision of
temporally consistent motor vehicle registration data.
There exist a number of issues that adversely impact on the
temporal accuracy of motor vehicle registration data. This
paper identifies these issues and proposes a cost effective
correction framework for motor vehicle registration time
series data. An application to Australian data demonstrated
the efficacy of the framework, identifying the need to
introduce an additional vehicle category into the data,
adjusting annual vehicle counts and removing the
erroneous incidence of the number of vehicles of a
particular vintage increasing substantially beyond two
years after the year of manufacture.||en_AU|
|dc.subject||Motor vehicle registration data; scrappage rates; vehicle sales||en_AU|
|dc.subject.other||POST DG EXPORT SUBMISSION||en_AU|
|dc.title||A correction framework for improving the robustness of motor vehicle registration data||en_AU|
|Appears in Collections:||ITLS Working Papers 2011|
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