3 research outputs found

    Identification of road user related risk factors, deliverable 4.1 of the H2020 project SafetyCube.

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    Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the first deliverable (4.1) of work package 4 which is dedicated to identifying and assessing human related risk factors and corresponding countermeasures as well as their effect on road safety. The focus of deliverable 4.1 is on identification and assessment of risk factors and describes the corresponding operational procedure and corresponding outcomes. The following steps have been carried out: Identification of human related risk factors – creation of a taxonomy Consultation of relevant stakeholders and policy papers for identification of topic with high priority (‘hot topics’) Systematic literature search and selection of relevant studies on identified risk factors •Coding of studies •Analysis of risk factors on basis of coded studies •Synopses of risk factors, including accident scenarios The core output of this task are synopses of risk factors which will be available through the DSS. Within the synopses, each risk factor was analysed systematically on basis of scientific studies and is further assigned to one of four levels of risk (marked with a colour code). Essential information of the more than 180 included studies were coded and will also be available in the database of the DSS. Furthermore, the synopses contain theoretical background on the risk factor and are prepared in different sections with different levels of detail for an academic as well as a non-academic audience. These sections are readable independently. It is important to note that the relationship between road safety and road user related risk factors is a difficult task. For some risk factors the available studies focused more on conditions of the behaviour (in which situations the behaviour is shown or which groups are more likely to show this behaviour) rather than the risk factor itself. Therefore, it cannot be concluded that those risk factors that have not often been studied or have to rely more indirect and arguably weaker methodologies, e.g. self-reports , do not increase the chance of a crash occurring. The following analysed risk factors were assessed as ‘risky’, ‘probably risky’ or ‘unclear’. No risk factors were identified as ‘probably not risky’. Risky Probably risky Unclear • Influenced driving – alcohol • Influenced Driving – drugs (legal & illegal) • Speeding and inappropriate speed • Traffic rule violations – red light running • Distraction – cell phone use (hand held) • Distraction – cell phone use (hands free) • Distraction – cell phone use (texting) • Fatigue – sleep disorders – sleep apnea • Risk taking – overtaking • Risk taking – close following behaviour • Insufficient knowledge and skills • Functional impairment – cognitive impairment • Functional impairment – vision loss • Diseases and disorders – diabetes • Personal factors – sensation seeking • Personal factors – ADHD • Emotions – anger, aggression • Fatigue – Not enough sleep/driving while tired • Distraction – conversation with passengers • Distraction – outside of vehicle • Distraction – cognitive overload and inattention • Functional impairment – hearing loss (few studies) • Observation errors (few studies) • Distraction – music – entertainment systems (many studies, mixed results) • Distraction – operating devices (many studies, mixed results) The next step in SafetyCube’s WP4 is to identify and assess the effectiveness of measures and to establish a link to the identified risk factors. The work of this first task indicates a set of risk factors that should be centre of attention when identifying corresponding road safety measures (category ‘risky’)

    Identification and safety effects of road user related measures. Deliverable 4.2 of the H2020 project SafetyCube

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    Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the second deliverable (4.2) of work package 4, which is dedicated to identifying and assessing road safety measures related to road users in terms of their effectiveness. The focus of deliverable 4.2 is on the identification and assessment of countermeasures and describes the corresponding operational procedure and outcomes. Measures which intend to increase road safety of all kind of road user groups have been considered [...continues]

    Assessment of the action plan and of regional instruments [SaferAfrica D3.1]

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    Executive Summary According to the Global Status Report on Road Safety 2015 of WHO (WHO, 2015),“road traffic injuries claim more than 1.2 million lives each year and have a huge impact on health and development”.Using WHO classification of regions, there has been a further deterioration in road fatality rates in the WHO Africa region from 24.1 fatalities per 100,000 populations in 2010 to 26.6 fatalities per 100,000 in 2013. Over the same period, there was a further improvement in road fatality rates in the WHO Europe region. Road trauma in Africa is expected to get worse, with fatalities per capita projected to double over the period 2015‐2030 (Small and Runji, 2014). SaferAfrica project aims at establishing a Dialogue Platform between Africa and Europe focused on road safety and traffic management issues. It will represent a high‐level body with the main objective of providing recommendations to update the African Road Safety Action Plan and the African Road Safety Charter, as well as fostering the adoption of specific initiatives, properly funded. The main objective of work package 3 is to assess the implementation of the Action Plan 2011–2020 (AU‐UNECA, 2010). This assessment has been supported by SWOT and PESTEL analysis completed at different geo‐political scales (continental, regional economic communities/corridors and country). The second main objective is to define some initiatives for different topics designed to foster the implementation of the Action Plan. The initiatives will be based on the outputs of WP3, WP4, WP5 and WP6 and will address technical, administrative and economic concerns. The aim is to prepare turnkey project for the Dialogue Platform Management Board. The objective of Task 3.1 on which is based this deliverable is the Assessment of the implementation of the Action Plan and of regional instruments. The analysis has been realized at different spatial levels, country, corridor and continental levels. For the continental levelthe choice is made to focus the analysis on the recommendations issued from the mid‐term review of the African Road Safety Action Plan (ARSAP) (AU‐UNECA, 2015a, 2015b) and on SWOT and PESTEL approaches by pillar of the Action Plan. For the country level, 5 countries are chosen for a detailed evaluation: Burkina Faso, Cameroon, Kenya, South Africa and Tunisia. For these countries the analysis is based on results of the country on each of the five pillars and on results and knowledge of partners in charge of these countries, for example through Capacity Reviews realized in WP5. Regional analyses are made on Corridor Abidjan‐Lagos, involving 5 countries: Ivory Coast, Ghana, Togo, Benin and Nigeria. Data has been collected through questionnaires distributed by WP4 and international databases (mainly WHO data). A specific process of data validation has been proposed and realized by partners in order to reinforce quality of the information and of the analysis. Based on those data and methodological choices, results allow us to highlight recommendations that were proposed by mid‐term review of the ARSAP and which are still reliable and new recommendations which seem important in order to improve Road Safety in Africa. These recommendations will be discussed through the dialog platform
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