SUMO - Eltis
SUMO - Eltis
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.