Presentation Transcript
Slide1: Work Package 1
CARE Accident Data George Yannis and Petros Evgenikos
National Technical University of Athens
Prague, May 11th 2006 Project co-financed by the European Commission, Directorate-General Transport & Energy
Road accident data – The questions: Road accident data – The questions Do we have the data we need?
Do we need the data we have?
Slide3: Road Accident Data Usefulness and availability of Data
Slide4: CARE Database Community database on Accidents on the Roads in Europe All accidents & casualties recorded in EU-14 since 1991, in disaggregate form.
(≈ 11m road accidents, ≈ 14,5m road accident injuries,
≈ 410k road accident fatalities).
Objectives
Provide a powerful tool which would make it possible to:
i) Identify and quantify road safety problems in Europe
ii) Evaluate the efficiency of road safety measures
iii) Determine the relevance of Community actions
iv) Facilitate the exchange of experience in this field
Slide6: WP1 - CARE Accident Data General Objective
Enhancement and Exploitation
of CARE accident data
Making CARE system a reference point
for road safety analysis in Europe
Duration
48 months
Road accident data – The questions: Road accident data – The questions Do we have the data we need?
Do we need the data we have? WP1 Objectives and Structure
Slide8: Partnership • National Technical University of Athens (NTUA) – EL
• Transport Research Laboratory (TRL) – UK
• Centre d’ Etudes Technique de l’ Equipement du Sud-Ouest (CETE) - FR
• Kuratorium für Schutz und Sicherheit (KuSS) – AT
• Institute for Road Safety Research (SWOV) – NL
• Road Directorate - Ministry of Transport (DRD) – DK
• Közlekedéstudományi Intézet Rt (KTI) - HU
• Centrum dopravního výzkumu (CDV) – CZ
• Institut Belge pour la Sécurité Routière (IBSR) – BE
• Agència de Salut Publica (ASPB) – ES
• Vehicle Safety Research Centre (VSRC) - UK
Slide9: Task 1.1 Compatibility improvement of data from new Member States
Objectives
• Extension of the CARE system by incorporating national
level road accident data from the10 new EU Member
States (plus Switzerland, Norway)
• Development of appropriate transformation rules based
on CAREPLUS methodology
• Establishment of a broad and compatible road accident
database
Slide10: Methodology Establishment of the list of
national accident data in the CARE system Collection of national definitions
of accident data Establishment of the tabulated (grid) list of
accident data definition elements Elaboration of the transformation rules Update of the list of common accident variables and values Update of the Glossary with
accident data definitions
Slide11: CARE Database -List of variables
Slide12: The Estonian example Transformation of Estonian accident data
- Transformation rules drawn up jointly with the
Estonian experts.
- Collection of accident variables and values definitions according to the templates proposed.
- Final document and transformed data files sent to the European Commission.
Slide13: The Estonian example
Slide14: Estonian transformation rules
Slide15: Task 1.4 Improvement of Accident Data Compatibility in Europe
Objective
• Establishment of a common road accident data
collection system.
• Enhancement and further exploitation of the CARE system.
• Harmonisation of road accident data at EU level.
Slide16: Necessity for Compatible Statistics Example of CARE data availability
Variable: Alcohol level
Slide17: Methodology
Collection of national data collection forms, methodologies and data definitions
Definition of necessary data for accident analysis
Establishment of a basic common accident data collection set and methodology
Update of the Glossary with
accident data definitions
Slide18: Accident Data Availability (1) Data included in the National Road Accident Databases Road accident database and collection form first introduction (year)
Slide19: Accident Data Availability (2) Definitions of seriously and slightly injured persons
Slide20: Accident Data Availability (3)
Slide21: User Requirements (1) Number of road accident data stakeholders
per road accident variable and country
* Total number of national road accident data users Scale of significance: H = high importance L = low importance - Not used
Slide22: User Requirements (2) Scale of significance: H = high importance L = low importance - Not used
Most important road accident data stakeholders
according to the extent and frequency of use of road accident variables
Slide23: Next Steps • Analysis of a specific group of variables included in the
national collection forms by each partner, according to the
following distribution:
• Development of the common framework for road accident data collection.
• Examination of the proposed framework by the Member States, joint discussion under the coordination of the European Commission and finalisation of the proposal.
Slide24: Task 1.5 Estimation of the Real Number of Road Accident Casualties Objective
• Identification of the underreporting level for each
casualty severity (killed, seriously injured, slightly
injured) with a uniform methodology.
• Identification of the number of casualties according to a
new common measurement unit: "hospitalised person".
Slide25: Methodology
Slide26: Literature Review • Descriptions of experience on the underreporting issue
in the eight countries through technical literature
review:
a) Linking accident and medical databases
b) ‘Capture-recapture’ techniques.
• Execution of studies in eight EU countries (CZ, EL, ES, FR, HU, NL, AT, UK) to apply common methodology to
accident data from police and hospitals. Distribution of non-fatal casualties according to the road trauma registry and police files in the Rhône county, 1997–2001
Slide27: Identification of underreporting level Developed methodology to identify the underreporting level:
A representative sample of hospitals that receive
accident victims will be selected
↓
Medical data regarding road accidents
will be collected for a certain period of time
↓
The medical data collected will enter the project database
↓
The medical data will be cross-checked regularly
with the police accident records
↓
Definition of underreporting level
Slide28: Critical issues • Approvals from medical authorities. Number of hospitals
and length of data collection period upon funding available.
• Regular visits to hospitals. Sifting records to identify people injured in road accidents. Examine variation according to type of accident.
• Identification based on: casualty’s age, gender, travel mode
and accident circumstances (time, location). Allowance
for minor errors in the recording of personal details (i.e. small
discrepancies in age).
• Cross-checking according to “catchment” area of each hospital.
• Admission of the casualty to the hospital, length of treatment
in medical data and AIS1 score for each body region.
1Abbreviated Injury Scale, ranging from 1 for minor injuries to 6 for injuries that are currently untreatable
Slide29: Matrices
Development of appropriate matrices
The first 3-dimensional matrix incorporates the length of stay information:
The second 3-dimensional matrix incorporates MAIS (the maximum of the AIS scores per body region):
Slide30: Next steps • Execution of the national studies on underreporting in
eight countries.
• Analysis of data to develop underreporting coefficients relating to alternative bases: hospitalised casualties (or perhaps with a minimum length of stay) and MAIS.
• Investigation of strengths and weakness of alternative approaches.
• Elaboration of a common definition to be used when estimating the actual number of accidents and casualties: "hospitalised person".
• Adoption and finalisation of the common methodology/coefficients/common definition for future use.
Slide31: Task 1.2 Links With In-depth, Exposure, SPI and Other Data Files
Objective
• Amalgamation of the CARE accident data with other data (i.e. exposure) in road accident analysis.
• Establishment of reliable and comparable accident
indicators (i.e. fatalities per million veh-kms).
• Better description of the road accident phenomenon.
Slide32: Methodology
Definition of necessary accident indicators
Transformation of
accident data
Update of the Glossary with
accident data definitions
Slide33: Risk/Exposure Data Road safety performance in EU Member States: Car occupant fatality rate per billion vehicle-kilometers in 2002 (Source: ETSC 2006)
Slide34: Road Safety Performance Indicators • Complementary to existing road
accident data to measure changes in
the operational conditions of traffic
system.
• Better understanding of road
accidents and underlying processes.
• Enable policy interventions
monitoring and facilitate decision
making.
Slide35: Task 1.3 Development of Statistical Reports and Analysis Notes Objective
• Production of a comprehensive set of end products with compatible statistics.
• Enhancement and further exploitation of the CARE system.
Slide36: Methodology
Slide37: Databases Evaluation Evaluation of several existing databases:
(FARS, CARE, UN/ECE, WHO,
EUROSTAT, IRTAD, ECMT).
Slide38: Annual Statistical Report 2005
- Basic characteristics of road
accidents in the 14 member
states of the European Union
(except Germany) for the period
1994-2003.
- Selection of basic characteristics
of fatal road accidents in the EU
member.
- 55 Tables and 20 figures with the
most interesting combination of
road accident data
DOWNLOAD IT NOW
http://www.europa.eu.int/comm/transport/care/studies
Slide39: Basic Fact Sheets - Motorways DOWNLOAD IT NOW
http://www.europa.eu.int/comm/transport/
care/studies
Slide40: Basic Fact Sheets 2005
Slide41: Basic Fact Sheets Car occupants Motorcycle and mopeds Motorways
Slide42: Basic Fact Sheets Elderly
Pedestrians Children Young people
aged (16-24)
Slide43: Next Steps • New version of an Annual Statistical Report and eight Basic Fact Sheets (8) will be prepared by 2007.
• Preparation of a CARE user handbook "Guide of CARE analysis".
• Preparation of a set of Aggregate Data Files.
• Outputs will progressively be enhanced by other SafetyNet results. Data for all 25 countries will be included, as soon as the related work is completed.
• All these documents are available at the website of the European Road Safety Observatory (www.erso.eu).
Slide44: WP 1 Care Accident Data