Crash Data

Question 1

What is road crash data?

Answer 1

Data collected about crashes in road traffic, typically organized in a database

Question 2

Give examples of source of information for Road Crash Data.

Answer 2

Source of information for Road Crash Data

• Police report
• Insurance claim
• On-scene investigation
• EDR
• Interview, questionnaire

Question 3

Level of details for Crash Data?

Answer 3

Level of detail

• Macroscopic data
• Intermediate level data
• Microscopic data

Question 4

Explain Sampling area for Road Crash Data.

Answer 4

Sampling area

• Multi-national
• National
• Local

Question 5

How many died in road fatalities in 2010?

Answer 5

World Health Organization (WHO): worldwide road accident statistics in Global status report on road safety 2013 . Total annual number of road fatalities (2010): 1.24 million

Question 6

Common uses of road crash data?

Answer 6

Question 7

Explain the role of field data.

Answer 7

Question 8

What are Issues with crash data?

Answer 8

Issues with crash data

• Access to databases is typically limited
• Underreporting can bias results; examples:
  
  • Single bicycle accidents are often not reported to the police;
  • Reported and actual (estimated) number of accidents can differ substantially, see Table A2 in WHO, 2013
• Different coding protocols can make data in different databases incomparable (e.g. definition of accident type!) • Important to understand data sources! (example: next slide)

Question 9

Explain difficulties with source of road crash data when examining trends.

Answer 9

Question 10

Describe levels of Road Crash Data.

Answer 10

Question 11

Explain Macroscopic level

Answer 11

Question 12

Give examples of sources for Macroscopic level data.

Answer 12

Macroscopic level – examples

• STRADA Police (SWE)
• CARE/CADaS (EU)
• NASS-GES (US)

Question 13

Give example of Intermediate level road crash data.

Answer 13

Question 14

Example of sources for intermediate level data.

Answer 14

Intermediate level – example

• STRADA Hospital (SWE)
• Insurance databases

Question 15

Explan Microscopic level data.

Answer 15

Question 16

Microscopic level – examples

Answer 16

Microscopic level – examples

• Specific (Data collected with a specific aim)
  
  • Crashworthiness: NASS-CDS (US), CCIS (UK), PENDANT (EU)
  • Accident Causation: FICA (SWE), SafetyNet (EU), OTS (UK)
  • Injury Causation: CIREN (US)
• Holistic (Aiming at capturing all relevant crash information)
• INTACT (SWE)
• GIDAS (GER)
• NASS-CDS - National Automotive Sampling System – Crashworthiness Data System
• PENDANT: Pan-European Co-ordinated Accident and Injury Database
• CIREN: Crash Injury Research and Engineering Network
• FICA: Factors Influencing the Causation of Accidents and incidents
• OTS: On-The-Spot accident research
• CCIS: Co-operative Crash Injury Study
• INTACT: Investigation Network and Traffic Accidents Collection Techniques
• GIDAS: German In-Depth Accident Study

Question 17

Comparison between levels of data collection in the crash phase - Driver

Answer 17

Question 18

Comparison between levels of data collection in the crash phase vehicle

Answer 18

Question 19

Comparison between levels of data collection in the crash phase - Environment

Answer 19