Augmented motorization for road safety

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Augmented motorization added new dangers to road users, mainly susceptible road workers.

Governments consequently need to guarantee that road groundwork, among other actions, takes interpretation of all road users and all forms of transportation and escalations their safety. Some advancement is being made in road safety management. The quantity of states that have a lead agency has enlarged from 74%, expected in the Global Status Report on Road Safety 2009, to 84% in the existing survey. In 88% of nations, the prevailing lead interventions have synchronizing occupations while in 69% of countries they have roles related to regulation, monitoring and estimation there was also improvement in the quantity of countries with a countrywide strategy for road safety, which augmented from 75% to 95% among pamphlets of the two reports.

 

There is a need to set realistic long-term targets within strategies for both fatal and non-fatal injuries based on national road traffic crash data in order to identify areas for performance improvement and potential gains. Although 56% of countries have measurable targets for fatal road traffic injuries, only 33% of countries have measurable targets for non-fatal road traffic injuries. The majority of national strategies for road safety have targets for major risk factors except targets for increasing the use of child restraints, which exist in only 33% of strategies. Setting targets enables the assessment of performance related to enhancing road safety and thereby improving it. They are also one way to assert political will to improve road safety in a structured and sustainable fashion. However these targets need to be realistic, time-bound, measurable and achievable within the existing context. Once targets are developed within the strategies, baseline data on risk factors are needed to achieve the set targets. Some countries do have defined targets.

In their strategies but they have not conducted the observational studies needed to measure the risk factors. For example, 78% of national strategies have targets for seat-belt use, yet only

50% have data on seat-belt usage rates.

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