Traffic Safety Basic Facts 2012 Seasonality

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Transcription:

Seasonality Although the annual number of people who died in road traffic accidents in Europe has fallen over many years, the distribution of the annual number by month has scarcely changed. This Basic Fact Sheet examines the extent to which the number of people killed in road accidents varies by month across the EU. Most other Basic Fact Sheets focus on particular groups of accidents or casualties; this one examines general patterns in the CARE data so its approach is slightly different. Most analyses are of grouped data from 2006-10, to minimise the effects of chance. First, however, Figure 1 shows that the distribution of fatalities by month has varied very little over the period covered by the CARE data, with the fewest fatalities in February and the most in July. The only clear change, in fact, has been for the peak in July to become slightly more pronounced. To achieve consistency between the four periods, the analysis has been restricted to those countries with data for each year between 1991 and 2010 1, as defined in Table 1 (the 15 states that were members of the EU in 1995 without Germany). Note that if there were no seasonality then 8.3% of fatalities would occur each month, as shown by the line, so there were relatively few fatalities per month from January to April and relatively many from June to October. Figure 1 : The proportion of fatalities in the EU-14 by month, 1991-2010 1991-1995 1996-2000 2001-2005 2006-2010 2009 data for NI, NL and SE are used as proxies for the 2010 data The remaining analyses are of grouped data from 2006-10. 1 2009 data for NI, NL and SE are used as proxies for the 2010 data Directorate-General for Mobility & Transport 1 / 12

Table 1 : Average number of fatalities per year, 2006-10 2 EU-14 EU-24=EU14+ Belgium BE 974 Czech Republic CZ 4.463 Denmark DK 335 Germany DE 1.013 Ireland IE 287 Estonia EE 146 Greece EL 1.507 Latvia LV 323 Spain ES 3.244 Hungary HU 1.019 France FR 4.374 Malta MT 12 Italy IT 4.770 Poland PL 4.949 Luxembourg LU 41 Romania RO 2.724 Netherlands NL 681 Slovenia SI 216 Austria AT 657 Slovakia SK 527 Portugal PT 921 Finland FI 322 Sweden SE 406 United Kingdom UK 2.661 2009 data for EE, NI, NL and SE are used as proxies for the 2010 data In order to see whether seasonality varies by country, Figure 2 compares the distribution for the EU-24 in 2006-2010 with the distributions for the five member states with the greatest fatality totals in this five year period. There are clear differences, with the distribution for France being very similar to the EU-24 distribution, whereas the July peak in Italy is especially pronounced. The overall proportion of EU fatalities in each of the five member states is also shown in the legend; together they accounted for more than half of fatalities in these five years. Figure 2: The proportion of fatalities by month in the EU-24 and 5 Member States, 2006-2010 The distribution of fatalities by month varies considerably from country to country. EU-24 PL 12. IT 11. DE 10. FR 10. ES 7.9% 2009 data for EE, NI, NL and SE are used as proxies for the 2010 data Directorate-General for Mobility & Transport 2 / 12

A simple index of seasonality for each country is obtained by dividing the standard deviation of the twelve monthly fatality averages by their mean. Map 1 presents the national indices for each country. It shows that seasonality is below average in several Western European countries, and above average in several Central European countries. Map 1: The seasonality index, 2006-2010 The distribution of fatalities by month tends to vary most in Central Europe and least in Western Europe. The seasonality of fatality distributions is likely to be the result of many factors. The principal factor is probably the changing pattern of travel during the year with, for example, many more trips being made for leisure and recreation during the summer than the winter. Accident risk also varies seasonally with changing weather conditions and hours of daylight. The relative harshness of winters in Northern and Central Europe is likely to contribute to the greater seasonality shown in Map 1 for several of these countries. Directorate-General for Mobility & Transport 3 / 12

Weather and hours of daylight Variations through the year in weather and the hours of daylight are likely to contribute to the seasonality that has been seen, and these also vary across Europe. In the EU-19 2 states over the whole year, 6 of fatalities occurred in daylight (includes twilight), but the percentage was below 4 between November and January. The great majority (8) occurred in dry conditions, and this was still at 73% in December. Figure 3 : Monthly proportion of fatalities by light and weather condition, EU-19 2, 2006-2010 The proportion of fatalities occurring in daylight varies seasonally, which probably affects the seasonality of the fatality distribution. 10 8 6 dark 4 light 2 10 9 8 other 7 snow fog or mist 6 rain dry 5 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE The geographic variation of the proportion of fatalities occurring in daylight is examined in Figure 4, choosing countries from across Europe and combining the three Scandinavian countries (DK, FI, SE). The variation is greatest in the three Scandinavian countries and least in Greece, but differences cannot be explained simply by day length. This is depends on latitude but, for example, there are fewer fatalities in daylight in the UK than in the Scandinavian countries during the winter despite the UK s greater day length in winter that results from its more southerly location. Figure 4 : Monthly proportion of fatalities in daylight, by country, 2006-2010 10 8 6 4 EU-19 DK+FI+SE 2 ES FR EL UK 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE 2 EU-24 except CZ, DE, IT, SI and MT which are excluded because lighting is unknown for many fatalities. Directorate-General for Mobility & Transport 4 / 12

More detailed analysis of geographic variation in the CARE data requires a different form of presentation. This is illustrated in the case of weather condition by Figure 5, which compares the distributions in Spain and the three Scandinavian countries. Spain is selected to represent the South of Europe, the Scandinavian countries to represent the North (a different selection might yield results that differed slightly in detail).the proportion of fatalities in dry conditions is only slightly greater in Spain (85% compared with 83%), but the proportion in snow is predictably much lower. Figure 5 : Monthly proportion of fatalities by weather and country, 2006-2010 10 ES 10 DK+FI+SE The distribution of weather conditions at the time of fatal accidents varies considerably between countries. 8 6 other 4 snow fog or mist 2 rain dry 8 6 other 4 snow fog or mist 2 rain dry 2009 data are used as proxies for the 2010 data for SE Mode of Transport An important way of grouping casualties is by their mode of transport. Figure 6 shows that the seasonality for several groups differs clearly from the overall pattern. Relatively many motorcyclists are killed in the summer, and relatively few in the winter, while deviations from the overall pattern are similar but less for moped riders and pedal cyclists. These variations are probably the result of the preference by riders of two-wheeled vehicles to travel when the weather is better. The reason for the increase in pedestrian fatalities from 6,1% of the annual total in June to 12, in December is probably more complex. In Figure 6, the group others consists mainly of occupants of goods vehicles, buses and coaches. Directorate-General for Mobility & Transport 5 / 12

Figure 6 : Monthly proportion of fatalities by mode of transport, EU-24 3, 2006-2010 1 Motorcycling is the mode of transport with the most seasonal fatality distribution. Car and taxi occupants 49% Motorcyclists 1 Pedestrians 2 Pedal cyclists 7% Moped riders Others 7% 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE The geographic range of the seasonality of fatalities by mode of transport is illustrated in Figure 7, which compares the distributions in Spain and the three Scandinavian countries. The Spanish fatality proportions show limited variation by month, except for the minor mode of pedal cycling. By contrast, the Scandinavian proportions vary considerably by month, especially for pedestrians and motorcyclists. Figure 7 : Monthly proportion of fatalities by mode of transport and country, 2006-2010 The seasonal variation of motorcycling fatalities is more pronounced in Scandinavia than in Spain. 2 1 ES Car and taxi occupants 49% Motorcyclists 1 Pedestrians 2 Pedal cyclists 7% Moped riders Others 7% 2 1 DK+FI+SE Car and taxi occupants 5 Motorcyclists 9% Pedestrians 1 Pedal cyclists 9% Moped riders 5% Others 7% 2009 data are used as proxies for the 2010 data for SE Type of Road Figure 8 compares seasonality on the three types of road that can be distinguished in the CARE data: motorways, rural roads (excluding rural motorways) and urban roads (excluding urban motorways). There are minor differences; seasonality is less on urban roads than on rural roads and motorways. 3 The 24 countries listed in Table 1 Directorate-General for Mobility & Transport 6 / 12

Figure 8 : Monthly proportion of fatalities by type of road, EU-24 2, 2006-2010 There is less seasonal variation on urban roads than on rural roads and motorways. Motorway Rural roads 5 Urban roads 3 roads 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE Time of Day and Day of Week Figure 9 compares the fatality proportions in four periods of the day. For example, the Figure shows the proportions of the fatalities that occurred between 10pm and 4am over the five years that occurred in January, February etc. Seasonality is greatest in this period, and least for the 4am-10am period. There is a clear peak in July for the 10pm- 4am period, while there is a steady increase from February to December for the 4pm-10pm period. Figure 9 : Monthly proportion of fatalities by time of day, EU-23 4 2006-2010 Seasonal variation is greatest for fatalities occurring in the 10pm-4am period and least for the 4am-10am period. 10pm-4am 1 4am-10am 2 10am-4pm 2 4pm-10pm 35% 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE 4 The 24 states listed in Table 1, but DE excluded as hour of day is not reported in the CARE data. Directorate-General for Mobility & Transport 7 / 12

The geographic range of the seasonality of fatalities by time of day is illustrated in Figure 10, which compares the distributions in Spain and the three Scandinavian countries. The Spanish fatality proportions show limited variation by month about the overall trend. The Scandinavian proportions vary considerably by month, however, especially in the late evening (10pm-4am). Figure 10 : Monthly proportion of fatalities by time of day and country, 2006-2010 1 ES 1 DK+FI+SE 1 1 10pm-4am 1 4am-10am 2 10am-4pm 2 4pm-10pm 33% 10pm-4am 1 4am-10am 19% 10am-4pm 33% 4pm-10pm 3 2009 data are used as proxies for the 2010 data for SE Date of query: : September 2012 Seasonality on each day of the week is similar to overall seasonality. The main difference concerns Sunday: there are relatively many fatalities on Sundays between March and August, and relatively few between November and January. Figure 11 : Monthly proportion of fatalities by day of week, EU-24 2, 2006-2010 The seasonal variation of fatalities is greater on Sundays than on other days of the week. Monday-Thursday Saturday Friday Sunday Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE Directorate-General for Mobility & Transport 8 / 12

Age and Gender Figure 12 compares seasonality of female and male fatalities by age range. Both male and female fatalities have their minimum values in February; male fatalities peak in July whilst female fatalities peak in July and December. There are also clear differences by age range. There is a pronounced peak for 0-17 year old fatalities in July and August, whereas the number of 65+ year old fatalities rises fairly steadily from February to December, especially for women. Figure 12 : Monthly proportion of fatalities by age and sex, EU-24 2, 2006-2010 The seasonal variation of fatalities depends upon gender as well as age. 1 Females 0-17 18-24 25-49 50-64 65+ ages 1 Males 0-17 18-24 25-49 50-64 65+ ages 2009 data are used as proxies for the 2010 data for EE, NL, NI and SE Figure 13 illustrates the range of patterns of seasonality by age around Europe (male and female fatalities combined). There are limited variations about the overall distribution in the UK, but clear differences in Italy and Romania. There are relatively few fatalities aged 65+ during spring and summer in each of the four countries, and a peak in the autumn/winter. Directorate-General for Mobility & Transport 9 / 12

Figure 13: Monthly proportion of fatalities by age in selected countries, 2006-2010 15% UK 15% IT 9% 9% The seasonal variation of fatalities by age and gender differs widely across Europe. 0-17 18-24 3% 25-49 50-64 65+ ages 0-17 18-24 3% 25-49 50-64 65+ ages 15% RO 15% DE 9% 9% 0-17 18-24 3% 25-49 50-64 65+ ages 0-17 18-24 3% 25-49 50-64 65+ ages NI data for 2009 are used to estimate UK for data 2010 The clear differences in the seasonal variation of fatalities by age and gender seen in Figure 13 are likely to be influenced by the different travel patterns of the national populations. Directorate-General for Mobility & Transport 10 / 12

Disclaimer The information in this document is provided as it is and no guarantee or warranty is given that the information is fit for any particular purpose. Therefore, the reader uses the information at their own risk and liability. For more information Further statistical information about fatalities is available from the CARE database at the Directorate General for Mobility and Transport of the European Commission, 28 Rue de Mot, B -1040 Brussels. Traffic Safety Basic Fact Sheets available from the European Commission concern: Main Figures Children (Aged <15) Youngsters (Aged 15-17) Young People (Aged 18-24) The Elderly (Aged >64) Pedestrians Cyclists Motorcycles and Mopeds Car occupants Heavy Goods Vehicles and Buses Motorways Junctions Urban areas Roads outside urban areas Seasonality Single vehicle accidents Gender Accident Causation Directorate-General for Mobility & Transport 11 / 12

Country abbreviations used and definition of EU-level EU - 14 EU-24= EU-14 + BE Belgium CZ Czech Republic DK Denmark DE Germany IE Ireland EE Estonia EL Greece HU Hungary ES Spain MT Malta FR France LV Latvia IT Italy PL Poland LU Luxembourg RO Romania NL Netherlands SI Slovenia AT Austria SK Slovakia PT Portugal FI Finland SE Sweden UK United Kingdom Detailed data on traffic accidents are published annually by the European Commission in the Annual Statistical Report. This includes a glossary of definitions on all variables used. More information on the DaCoTA Project, co-financed by the European Commission, Directorate-General for Mobility and Transport is available at the DaCoTA website: http://www.dacotaproject.eu/index.html. Please refer to this report as follows: Broughton, J., et al. (2012) Basic Fact Sheet "Seasonality", Deliverable D3.9 of the EC FP7 project DaCoTA. Authors Jeremy Broughton George Yannis, Petros Evgenikos, Panagiotis Papantoniou Nimmi Candappa, Michiel Christoph, Kirsten van Duijvenvoorde, Martijn Vis Jean-François Pace, María Teresa Tormo, Jaime Sanmartín Mouloud Haddak, Léa Pascal, Marie Lefèvre, Emmanuelle Amoros Pete Thomas, Alan Kirk, Laurie Brown Christian Brandstatter TRL, UK NTUA, Greece SWOV, The Netherlands INTRAS-UVEG, Spain IFSTTAR, France Loughborough University, UK KfV, Austria Directorate-General for Mobility & Transport 12 / 12