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Introduction Accidents between motorcycles: analysis Traffic accidents of cases that occurred in the state of Brazil, Motorcycle Paran between 2010 July and 2011 June Type of accident Motorcycle x Motorcycle Andrey Rogrio

  1. Introduction Accidents between motorcycles: analysis � Traffic accidents of cases that occurred in the state of � Brazil, Motorcycle Paraná between 2010 July and 2011 June � Type of accident � Motorcycle x Motorcycle Andrey Rogério Campos Golias Rosângela Caetano Objective Methodology � Traffic Accidents ocurred in State of Paraná � 2010 july – 2011 june � Fire Department Website: SIATE: Integrated Service of trauma care � To draw an epidemiological � Paraná : 10 million and a half inhab and 5,47% of Brazil population study of accidents between motorcycles in the state of Paraná, period 2010 july to 2011 june Methodology All State Table 1. TA and victims according to the type of accident � Two Analysis: Accidents Victims Type of accident Nº % Nº % Motorcycle x motorcycle accidents 1.900 3,3 2.998 4,4 � All 399 cities 54,2% Others motorcycle accidents 28.868 50,9 32.238 47,8 � Only 10 most populous cities Aciddents with others types of vehicle 25.961 45,8 32.258 47,8 Total 56.729 100,0 67.494 100,0 � Motorcycle x Motorcycle: 3,3% of TA and 6,2% of Motorcycle accidents � Victims Moto x Moto Others Moto Others TA accidents 1,58 1,12 1,24

  2. Table 2. TA according to the type of accident and weekday Table 2. TA according to the type of accident and period of day Total Moto-moto Other Motorcyc Others vehicles Total Moto-moto Other Motorcyc Others vehicles Weekday Period of Day Nº % Nº % Nº % Nº % Nº % Nº % Nº % Nº % Sunday 8.069 14,2 232 12,2 3.704 12,8 4.133 15,9 Morning 13.045 23,0 417 21,9 7.090 24,6 5.538 21,3 Monday 7.348 13,0 255 13,4 3.801 13,2 3.292 12,7 Afternoon 19.830 35,0 674 35,5 10.290 35,6 8.866 34,2 Tuesday 7.237 12,8 245 12,9 3.833 13,3 3.159 12,2 Night 19.265 34,0 700 36,8 9.589 33,2 8.976 34,6 Wednesday 7.601 13,4 254 13,4 4.046 14,0 3.301 12,7 Dawn 4.589 8,1 109 5,7 1.899 6,6 2.581 9,9 Thrusday 7.904 13,9 269 14,2 4.169 14,4 3.466 13,4 Total 56.729 100,0 1.900 100,0 28.868 100,0 25.961 100,0 Friday 8.769 15,5 304 16,0 4.545 15,7 3.920 15,1 Saturday 9.801 17,3 341 17,9 4.770 16,5 4.690 18,1 � Use in work activities and displacements, especcially at the end of Total 56.729 100,0 1.900 100,0 28.868 100,0 25.961 100,0 work and entering school (at night) � Fatigue and increase the number of vehicles � Risk behaviors: Alcohol use, exceed speed limits, driving on coasting, � Alcohol use participation in cracks, prohibited overtaking, advances signal � Which points to a fiscalization strategy that is not compatible with business hours Table 3 . Victims of TA according to the type of accident and severity of victims lesions Table 3 . Victims of TA according to the type of accident, gender and age Total Moto-moto Other Motorc Others vehicles Gender Nº % Nº % Nº % Nº % Total Moto-moto Other Motorc Others vehicles Severity Male 47.716 70,7 2.263 75,5 24.322 75,4 21.131 65,5 Nº % Nº % Nº % Nº % Female 19.778 29,3 735 24,5 7.916 24,6 11.127 34,5 Unharmed 3.253 4,8 129 4,3 963 3,0 2.161 6,7 Total 67.494 100,0 2.998 100,0 32.238 100,0 32.258 100,0 63,3% Age Code 1 33.672 49,9 1.768 59,0 17.132 53,1 14.772 45,8 0 a 9 2.418 3,6 30 1,0 293 0,9 2.095 6,5 Code 2 26.297 39,0 957 31,9 12.578 39,0 12.762 39,6 10 a 19 11.208 16,6 455 15,2 5.220 16,2 5.533 17,2 Code 3 3.179 4,7 125 4,2 1.322 4,1 1.732 5,4 20 a 29 24.114 35,7 1.398 46,6 14.733 45,7 7.983 24,7 30 a 39 12.846 19,0 590 19,7 6.568 20,4 5.688 17,6 Code 4 1.093 1,6 19 0,6 243 0,8 831 2,6 40 a 49 8.609 12,8 365 12,2 3.549 11,0 4.695 14,6 Total 67.494 100,0 2.998 100,0 32.238 100,0 32.258 100,0 50a59 4.592 6,8 110 3,7 1.331 4,1 3.151 9,8 60 a 69 2.247 3,3 39 1,3 403 1,3 1.805 5,6 � Moto x Moto: Higher frequence of minor injuries (63,3%) and ≥ 70anos 1.460 2,2 11 0,4 141 0,4 1.308 4,1 Total 67.494 100,0 2.998 100,0 32.238 100,0 32.258 100,0 lower of death � Men: Feel more competent and tend to perceive less risk, tend to be more � Which can be explained by: Size of vehicle agressive, make riskier maneuvers vs Women: More prudent, less speed � Expect higher mortality and more severe injuries in victims in � Young: inexperience, lack of skill and ability, difficulty in perceiving danger and accidents with heavy vehicles solve problems � Burden Table 4. TA, ten most populous Paraná ´ s cities 10 most populous cities • 40,7% Paraná ´ s population % Nº moto x Nº others Nº accidents Motorcycle • 48,9% of the fleet of State vehicles MotoXmoto City Nª total TA moto motorcycle others type Motorization accid / total • 57,6% of TA accidents accidents vehicle Rate 2010* accidents • 87,8% Accidents between Motorcycles Curitiba 10.767 174 5.283 6.265 1,5 7,49 Londrina 5.182 406 3.572 2.262 6,5 12,33 Maringá 4.986 450 3.267 2.399 7,4 14,92 Table 4. Population, vehicle and motorcycle fleet, motorization rate Ponta Grossa 2.079 64 1.073 1.334 2,6 7,00 Cascavel 3.084 256 2.036 1.725 6,4 11,59 Population Motorcycle Motorcycle Vehicle fleet Motorization São J Pinhais 1.374 27 715 904 1,6 7,55 City 2010 fleet Motorization Dez 2010 Rate 2010 Foz Iguaçú 2.722 191 1.761 1.284 5,9 9,07 (Hab.) Dez 2010 Rate 2010 Colombo 1.080 26 529 603 2,2 7,59 Curitiba 1.746.896 1.197.974 130.946 68,58 7,49 Guarapuava 747 29 472 711 2,7 6,36 Londrina 506.645 284.867 62.473 56,23 12,33 Paranaguá 686 46 354 369 6,0 9,37 Maringá 357.117 237.656 53.291 66,55 14,92 Subtotal 32.707 1.669 19.062 17.856 5,1 9,06 Ponta Grossa 311.697 140.331 21.818 45,02 7,00 Total PR 56.729 1.900 28.868 25.961 3,3 9,88 Cascavel 286.172 157.748 33.182 55,12 11,59 * nº Motorcycles/100inhab São J Pinhais 263.488 129.319 19.908 49,08 7,55 Frequency Moto x Moto Accidents: Foz Iguaçú 256.081 118.804 23.229 46,39 9,07 Colombo 213.027 84.166 16.178 39,51 7,59 Not related to city population, n. of vehicles, motorization rate Guarapuava 167.463 69.239 10.660 41,35 6,36 Paranaguá 140.450 44.545 13.168 31,72 9,37 Subtotal 4.249.036 2.464.649 384.853 58,00 9,06 Related to number of motorcycles (motorcycle motorization rate) Total PR 10.439.601 5.041.846 1.031.607 48,29 9,88 * nº Motorcycles/100inhab

  3. Conclusions � Analysis restricted to a year → not capture trends or temporal � Accidents between motorcycles: understudied variations � Are influenced by variables common to all types of motorcycle � Study used a single database that has a restricted variables scope accidents: gender, age, number of motorcycles and day of week � Severity of injuries evaluated by paramedic professionals, although � Were different: period of day, injury severity and ratio between trained victims per accident � Mortality may be underestimated � Motorcycle motorization rate was revealed as a factor that � Are not estimated deaths after hospital admissions influenced accident rates Thank you www.professorandreyfisio.blogspot.com.br andreyfisio@gmail.com

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