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The link between casualties and demographic data - and the importance of vehicle design Iain Reeve Assistant Director (Economy, Transport and Planning) Surrey County Council Louise Lloyd Chartered Statistician, TRL
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3 Iain Reeve Assistant Director Economy, Transport & Planning
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4 Ten a day, five a month. 1994199519961997199819992000200120022003 GB3,65 0 3,62 1 3,5983,5993,4213,4233,4093,4503,4313,508 Surrey687368765773 536663 20042005200620072008200920102011 GB3,2213,2013,1722,9462,5382,2221,8501,901 Surrey72645260 45413228
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5 2012, so far.... JanFebMarAprilMayJunJulyAugSepOctNovDec Fatalities113000116*0 Cumulative1255556713 All Surrey roads (provisional) The 6 fatalities in October included 3 in one incident – a coach crash on the A3 near the Hindhead Tunnel
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For those who prefer pictures 6 Note: The 2012 Surrey figure is a pro-rata of 10 months provisional data
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Insert the title of your presentation here Presented by Name Here Job Title - Date A reduction in fatal casualties Who, why and what does this mean? Louise Lloyd
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Page 8 Agenda Who: Which road user groups? Why: Vehicle safety influences Why: Temporal and economic influences What does this mean? 1 2 3 4 5 Introduction
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Aim Page 9 Investigate the causes of the major reduction in the number of road accident fatalities in 2007-10
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Aim Page 10 Investigate the causes of the major reduction in the number of road accident fatalities in 2007-10
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Hypotheses Page 11 Changes in: Financial stability Vehicle safety Weather Traffic
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Page 12 Agenda Who: Which road user groups? Why: Vehicle safety influences Why: Temporal and economic influences What does this mean? 1 2 3 4 5 Introduction
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Page 13 Casualty trends by road user type Killed casualty trend by casualty class
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Fatal casualties by age group Page 14
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Young driver licence holders Page 15
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Page 16 Agenda Who: Which road user groups? Why: Vehicle safety influences Why: Temporal and economic influences What does this mean? 1 2 3 4 5 Introduction
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Page 17 Exposure data by car class Traffic (billion kilometres) by vehicle type
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Fatality rate by car type Page 18
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Car registration year Page 19 Year of accident 0-2 years 3-5 years 6-10 years 11-15 years 16+ years 20009% 11%13% 20106%7%8% 10% Proportion of vehicle occupant fatalities for all fatally and seriously injured occupants
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Car registration year Page 20 Year of accident 0-2 years 3-5 years 6-10 years 11-15 years 16+ years 20009% 11%13% 20106%7%8% 10% Proportion of vehicle occupant fatalities for all fatally and seriously injured occupants
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Car registration year Page 21 Year of accident 0-2 years 3-5 years 6-10 years 11-15 years 16+ years 20009% 11%13% 20106%7%8% 10% Proportion of vehicle occupant fatalities for all fatally and seriously injured occupants
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Page 22 Exposure data by car age Traffic (billion kilometres) by age of car
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Page 23 Car secondary safety – drivers
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Page 24 Car secondary safety – drivers
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2000-2001 registered cars Page 25 Fatalities
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2000-2001 registered cars Page 26 Fatalities Seriously injured
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Page 27 Car secondary safety – pedestrian protection
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Page 28 Car secondary safety – pedestrian protection
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Page 29 Agenda Who: Which road user groups? Why: Vehicle safety influences Why: Temporal and economic influences What does this mean? 1 2 3 4 5 Introduction
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Quarterly fatality numbers Page 30
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Quarterly fatality numbers Page 31
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Minimum quarterly temperature Page 32
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Minimum quarterly temperature Page 33
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Page 34 Agenda Who: Which road user groups? Why: Vehicle safety influences Why: Temporal and economic influences What does this mean? 1 2 3 4 5 Introduction
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Conclusions Page 35 Financial stability Vehicle safety Weather Traffic
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Conclusions Page 36 Traffic General reduction in traffic Reduction in young male drivers Drink driving accidents reduced Small reduction in speeding
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Conclusions Page 37 Financial stability Traffic General reduction in traffic Reduction in young male drivers Drink driving accidents reduced Small reduction in speeding
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Conclusions Page 38 Vehicle safety No change to trend in improvements due to secondary safety
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Conclusions Page 39 Weather Progressively colder winters
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What does this mean in Surrey? Page 40
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41 This is important Road safety figures are always subject to some variances, but...... these results seem to be too extreme to be a random spike. We should not claim that we were responsible for all of this improvement. It seems to be a mixture of causalities – weather, recession, driver behaviour, vehicles More research is needed We need a dialogue on how to capture some or all of this improvement We need to inform drivers and vulnerable road users Suggests that we can reduce road deaths still further... if only we understand what is happening. Conclusions
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Page 42 Louise Lloyd Senior Statistician 01344 770145 lklloyd@trl.co.uk
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