Skip to main content

Road safety experts agree data collection and analysis recommendations

On 13 and 14 November 2013, international road safety experts from more than forty countries met at the joint International Road Traffic Safety Data and Analysis Group (IRTAD)/Ibero-American Road Safety Observatory (OISEVI) Conference in Buenos Aires to discuss issues related to the collection and analysis of road safety data as a critical tool to design effective road safety policies. The critical importance of better data to improve road safety has led members to issue the Buenos Aires Declaration on B
January 14, 2014 Read time: 2 mins
On 13 and 14 November 2013, international road safety experts from more than forty countries met at the joint International Road Traffic Safety Data and Analysis Group (IRTAD)/Ibero-American Road Safety Observatory (OISEVI) Conference in Buenos Aires to discuss issues related to the collection and analysis of road safety data as a critical tool to design effective road safety policies.

The critical importance of better data to improve road safety has led members to issue the Buenos Aires Declaration on Better Safety Data for Better Road Safety Outcomes.

The Declaration recommends twelve measures for improving the collection and analysis of road safety data as a critical tool to design effective road safety policies. Among these are: the requirement for a minimum set of data for analysing road safety, which includes not only safety data but also contextual data; safety data should be aggregated at national level using a lead national agency; and the need to understand the relationship between road safety performance and economic development.

The recommendations are a result of the ongoing road safety work of the 998 International Transport Forum’s IRTAD and the OIESEV, a co-operative body of Latin American countries for the reduction of road accidents by improvements in safety data. Better data is fundamental to achieving the objectives of the UN Decade of Action on Road Safety; a halving the expected level of road deaths by 2020.

For more information on companies in this article

Related Content

  • Huawei addresses congested, separated rail networks with cloud solution
    December 20, 2024
    A shift to a cloud-based operating regime solves the problems of trying to make cluttered, geographically-discrete terrestrial systems work together
  • London’s strategy to tackle air quality problems
    October 21, 2014
    Colin Sowman talks to Matthew Pencharz, the man charged with charting London’s path between catering for traveller needs, conserving ancient buildings and conforming to modern air quality standards.
  • Promoting cycling is the solution to congestion and pollution
    August 20, 2015
    Cycling offers health, air quality and road space/parking benefits, promoting governments and the EU to look at tax and technology initiatives. David Crawford reports. One way to improve urban air quality is to make green alternatives to car use financially attractive. Incentivising employees to switch their travel-to-work mode to using their own bikes could increase cycling’s modal share of commuting travel by 50%, a recent French research project suggests. The country’s government already subsidises pu
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a