31.01.2015 Views

Glossary of Data Variables for Fatal and accident causation ... - ERSO

Glossary of Data Variables for Fatal and accident causation ... - ERSO

Glossary of Data Variables for Fatal and accident causation ... - ERSO

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Manual For SafetyNet <strong>accident</strong> <strong>causation</strong> system (SNACS)<br />

contacted each other<br />

hit each other<br />

bumped each other<br />

smashed each other<br />

(31 mph ~ 50 km/h)<br />

(34 mph ~ 55 km/h)<br />

(38 mph ~ 61 km/h)<br />

(41 mph ~ 66 km/h)<br />

One week later they came back <strong>and</strong> got the question ”was there any broken<br />

glass” (There was no broken glass). 32% <strong>of</strong> the “smashed” respondents said<br />

yes, while only 14% <strong>of</strong> the “hit” respondents answered yes.<br />

Another example that relates even closer to our work is in L<strong>of</strong>tus from 1975,<br />

where a number <strong>of</strong> persons were asked to watch a car crash on video, <strong>and</strong> then<br />

had to answer one <strong>of</strong> the two questions:<br />

• ”How fast was the white car going when it passed the barn on the<br />

country road”<br />

• ”How fast was the white car going on the country road”<br />

The fact is that there was no barn in the video. One week later, the persons<br />

were called back to the testing facility <strong>and</strong> were asked if there was a barn in the<br />

movie. 17% <strong>of</strong> the respondents to the first question said yes, compared to only<br />

3 % <strong>for</strong> the second question.<br />

We can carry this example into <strong>accident</strong> investigation. If we have been told by<br />

one party that there was a pedestrian close to the <strong>accident</strong> scene, we may ask<br />

a driver questions such as “How fast were you going when you passed the<br />

pedestrian”. If later in<strong>for</strong>mation then reveals that there was no pedestrian, we<br />

may still have planted the memory <strong>of</strong> a pedestrian in the mind <strong>of</strong> the driver,<br />

which may cause him/her to adjust the <strong>accident</strong> narrative to account <strong>for</strong> the<br />

pedestrian.<br />

Now, these examples are provided here not to scare investigators <strong>of</strong>f from<br />

interviewing or to create mistrust in interviewing as a source <strong>for</strong> in<strong>for</strong>mation.<br />

Interviews, on the contrary, are usually by far the most important source <strong>for</strong><br />

in<strong>for</strong>mation about why the <strong>accident</strong> occurred. In previous investigations made<br />

by Chalmers Accident Investigation Team, drivers have generally been very<br />

honest <strong>and</strong> <strong>for</strong>thcoming when interviewed about the <strong>accident</strong>, especially once<br />

they are made aware that the interview is <strong>for</strong> safety research, <strong>and</strong> that they will<br />

remain anonymous in all <strong>accident</strong> descriptions. However, it pays <strong>of</strong>f to be aware<br />

<strong>of</strong> what people can be expected to reliably describe, as well as the possible<br />

traps that we may create <strong>for</strong> ourselves in the interview process.<br />

Page 122 <strong>of</strong> 215

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!