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SUMO - Eltis

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2<br />

EXAMPLE<br />

40<br />

sumo – Appendix<br />

INCREASED USE OF SEAT BELTS BY EMPLOYEES<br />

AT A HAULAGE FIRM<br />

This subsidiary project is a step towards achieving the road safety goals set by a company in its long-term<br />

efforts to quality-assure business transports.<br />

Service: Courses and greater control through monitoring seat belt<br />

usage.<br />

Target group<br />

As work to improve road safety is part of quality assurance efforts, there are two different target<br />

groups for attempts to increase seat belt use:<br />

• management<br />

• drivers<br />

Management has already understood the importance of greater seat belt use and has also formulated<br />

a target to increase seat belt use as part of its work to quality assure transports. The most important<br />

target group for this subsidiary project is therefore the drivers.<br />

Target<br />

Examples of targets for a seat belt project could be:<br />

LEVEL TARGETS<br />

C<br />

H<br />

Use of the<br />

service<br />

Permanent<br />

individual<br />

behaviour<br />

External factors<br />

External factors that influence seat belt use include legislation and fines if seat belts are not used, as<br />

well as the type of transports: long stretches on country roads or short stretches with regular stops for<br />

loading and unloading in urban centres. In a comparison of pre and post data these factors must be<br />

known to obtain fair results.<br />

Person-related factors<br />

Option offered: Using a seat belt.<br />

At least 90 per cent of employed drivers have participated in a course in<br />

which the use of seat belts was a theme.<br />

Seat belt use is to increase from 65 per cent in 2004 to 75 per cent in<br />

2005, in terms of the percentage of drivers that say they always use a<br />

seat belt when driving lorries.<br />

Person-related factors are gender, age etc. If the age composition has changed between pre and post<br />

after measurements then this can influence results. In a comparison of pre and post data these<br />

factors must be known to obtain fair results.

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