Data Collection & Statistics

Data Collection & Statistics

Deliverable 2 Data collection & Statistics Please refer to this report as follows: Delhaye, A., Marot, L. (2015), Data Collection & Statistics, Deliverable 2 of the EC/MOVE/C4 project RIDERSCAN. GRANT AGREEMENT NUMBER MOVE/C4/SUB/2010-125/SI2.603201/RIDERSCAN Project Coordinator: Aline Delhaye, Federation of European Motorcyclists’ Associations (FEMA), Rue des champs, n°62, 1040, Etterbeek (Brussels), Belgium Project Start date: 01/11/2011 Duration 42 months Organisation name of lead contractor for this deliverable: Federation of European Motorcyclists’ Associations (FEMA), Belgium Report Author(s): Aline Delhaye, Federation of European Motorcyclists’ Associations (FEMA), Belgium Laura Marot, Federation of European Motorcyclists’ Associations (FEMA), Belgium Report Reviewer: George Yannis, National Technical University of Athens (NTUA), Greece Due date of deliverable: 30/04/2015 Submission date: 30/04/2015 Project co-funded by the European Commission Dissemination Level: public Deliverable 2 - Data Collection & Statistics 1 Deliverable Overview Table of contents Deliverable Overview ........................................................................................................... 2 Glossary ................................................................................................................................. 4 Executive Summary ............................................................................................................. 6 1. Introduction ................................................................................................................ 10 2. Project activities and work overview ........................................................................ 12 2.1. EU Research main conclusions .......................................................................... 12 2.2. RIDERSCAN pan-European surveys ................................................................. 30 2.3. Summary of accessible data on motorcycling and motorcycle accidents in the EU ....................................................................................................................... 49 2.4. Data harmonisation needs ................................................................................... 57 Overview of variables collected per country in public statistics on motorcycles ................................................................................................ 60 2.5. Data collection priorities ..................................................................................... 63 Stakeholders Safety Priorities – Data Collection and Statistics ................ 63 The Motorcycling Community ................................................................. 63 Member States .......................................................................................... 65 2.6. Other stakeholders’ feedback ............................................................................. 65 Stakeholders workshops’ comments ......................................................... 65 Pan-EU stakeholders feedback .................................................................. 67 2.7. Data collection key challenges ............................................................................ 69 3. Deliverable conclusions .............................................................................................. 70 List of Figures Figure 1 Rate of PTWs per 1000 inhabitants, 2009 (Source CARE Database/EC) ________________________________ 12 Figure 2 Motorcyclist Profiles (SARTRE4) ______________________________________________________________ 16 Figure 3 Percentage of mopeds and motorcycles in PTW fatalities, 2010 (DACOTA) _____________________________ 17 Figure 4 Percentage of motorcycle and moped rider fatalities by age group, 2010 (DACOTA) ______________________ 18 Figure 5 Motorcycle and moped fatalities per million inhabitants by age group - EU-24, 2010 (DACOTA) ____________ 19 Figure 6 – Percentage of PTW rider fatalities by area type, 2010 (DACOTA) ___________________________________ 20 Figure 7 Injury accident involvement by country for motorcycle type (in % of accident involved motorcyclists) (SARTRE4) 21 Figure 8 Fatalities by junction type and mode of transport - EU-24, 2010 (DACOTA) _____________________________ 21 Figure 9 Moped fatalities by month - top 5 countries and other EU-24, 2010 (DACOTA) __________________________ 22 Figure 10 Motorcycle fatalities by month - Top 5 countries and other EU-24, 2010 (DACOTA) _____________________ 22 Figure 11 Ten most frequent links between causes - PTW riders (DACOTA) ____________________________________ 23 Figure 12 Motorcycle accidents by injury severity and injury causation (Source: Honda, 2006) _____________________ 25 Figure 13 Most frequent Accident Scenarios - In-depth accident analysis comparison _____________________________ 27 Figure 14 Summary of CARE Data Analysis - PTWs (VRUITS) ______________________________________________ 27 Figure 15 Figure 15 ISO 13232 Crash Test scenarios (PISA) ________________________________________________ 28 Figure 16 Interrelationship between motorcycle accidents, causes, and preventive measures (Huang and Preston, 2004) (SIM) ___________________________________________________________________________________________ 29 Figure 17 Number of powered two-wheelers owned by the respondent (EU dataset) ______________________________ 31 Figure 18 Engine size breakdown of PTWs owned in Europe (Merged answers) (EU dataset) _______________________ 32 Figure 19 Breakdown by engine size for PTWs in the Czech Republic (Merged answers) __________________________ 33 Deliverable 2 - Data Collection & Statistics 2 Figure 20 Breakdown by engine size for PTWs in Belgium (Merged answers) ___________________________________ 33 Figure 21 Repartition of vehicle type in Europe (Merged answers) (EU dataset) _________________________________ 33 Figure 22 Breakdown by vehicle type in Greece (Merged answers) (Greece) ____________________________________ 34 Figure 23 Top 5 brands owned in Europe (Merged answers) (EU dataset) ______________________________________ 35 Figure 24 Most used means of transport (EU dataset) ______________________________________________________ 35 Figure 25 Car and PTW usage per country (answer per country) _____________________________________________ 36 Figure 26 Approximate annual mileage by car (EU dataset) _________________________________________________ 37 Figure 27 Percentage of respondents driving more than 10,000 km per year (answer per countries) __________________ 37 Figure 28 Approximate annual mileage on a motorcycle (EU dataset) _________________________________________ 38 Figure 29 PTW usage (EU dataset) ____________________________________________________________________ 39 Figure 30 Evaluation of PTW usage for leisure/hobby/sport (short rides) per country >< for going to work/school/university (commuting) per country ____________________________________________________________________________ 39 Figure 31 Frequency of PTW use (EU dataset) ___________________________________________________________ 40 Figure 32 Riding habits and group riding (EU dataset) ____________________________________________________ 40 Figure 33 Riding and weather conditions (EU dataset) _____________________________________________________ 41 Figure 34 Have you been involved in an accident in any form during the last twelve months? (Merged answers) (EU dataset) ________________________________________________________________________________________________ 41 Figure 35 Have you been involved in an accident in any form during the last twelve months? (Merged answers) (Answer per country) _________________________________________________________________________________________ 42 Figure 36 Have you been involved in an accident in any form during the last twelve months? (Area of Europe) _________ 42 Figure 37 Number of accidents during the last twelve months (EU dataset) _____________________________________ 43 Figure 38 Accident type (merged answers) (EU dataset) ____________________________________________________ 43 Figure 39 Guilty part (merged answers) (EU dataset) ______________________________________________________ 44 Figure 40 Consequences of the accidents (merged answers) (EU dataset) ______________________________________ 44 Figure 41 Party responsible for the accident per country (answer per countries) _________________________________ 45 Figure 42 Have you experienced a near collision (that did not result in an accident) in the last 12 months, due to another driver's error? (EU dataset) __________________________________________________________________________ 45 Figure 43 What was the (most frequent) causation factor(s) of your near-miss accident(s)? (Merged answers) (EU dataset). ________________________________________________________________________________________________ 46 Figure 44 Rate of infrastructure problems in causing near-miss accidents (answer per country) _____________________ 46 Figure 45 Most often used means of transport vs PTW usage (European dataset) – data add up to 100% for the most often used means of transport _____________________________________________________________________________ 48 Figure 46 PTW usage by country (European dataset) – data add up to 100% for each country ______________________ 49 Figure 47 PTW circulating park (Source: ACEM) _________________________________________________________ 50 Figure 48 PTW Fatality rates (CARE, 10.10.2014) ________________________________________________________

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