Mental Health Ireland Annual Conference - North Dublin Befriending Service
2011 ISI Conference DUBLIN udm_road_accidents
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Transcript of 2011 ISI Conference DUBLIN udm_road_accidents
Road Accidents: a new statistical production process
Statistics Austria’s deployment of self service
reports
Road Accident Statistics in Austria
Since 1961, police are
documenting each accident on
public roads using paper forms.
Statistical process uses OCR and
expends significant efforts to
increase the quality of the
statistics
Increase road safety in
Austria, trough identification of
dangerous sections and cause
analysis.
Page 2
As of Jan 2012, data describing
the details of accidents will be
collected electronically by the
police authorities.
Pre-validated data is transmitted
daily to Statistics Austria using
web – services
Monthly updates are published
traditionally using reports as well
as using SuperWEB, to allow
controlled, self service access to
defined users.
Super
STAR
STELLENT
/ UDM
DB2
SuperSTAR in the production process of Statistics Austria
DB2
MoI
Page 4
Characteristics of the new production process
Additional attributes and new values sets:
• details regarding the drivers license,
• vehicle types, description of the location ...
Increased coverage of the statistics
• Resume collection of accident data without casualties
Automated production process:
• daily deliveries from the Ministry of Interior
• Micro data analysis with SuperSTAR
Provide sample reports in SuperWEB to
• enhance the accessibility of the statistics
• allow controlled access to confidential data
Page 5
Road accidents reported by year and region
Page 6
Reduction in the number of casualties by state
Page 7
Accidents under the influence of alcohol by weekday
Page 8
Benefits of the new statistical production process
lower cost of production (data capture)
enhanced quality of the collected statistics through validity checks close to the source and seamless production process
significant reduction of efforts to produce ad hoc analysesand reports, which are more numerous in road statistics than elsewhere
partial shift of analyses workload from the NSO's statisticians to the ultimate users of the data
better prevention of road accidents through the collection of additional factors