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Outline   Overview     What works?    Workshop   Presentation   Conclusions




                             Motorcyclists

                             Paul Hewson
                     paul.hewson@plymouth.ac.uk



                            10th January 2012
Outline          Overview   What works?   Workshop   Presentation   Conclusions




          Overview


          What works?


          Workshop


          Presentation


          Conclusions
Outline          Overview      What works?   Workshop    Presentation   Conclusions



                                  Headline figures




          For Engand 2009 (latest RRCGB)
            ˆ Deaths: 402
            ˆ Serious: 4,809
            ˆ Slight: 13,824

          (add 86 deaths for Wales/Scotland/Northern Ireland)
Outline                   Overview     What works?        Workshop   Presentation   Conclusions




                   1800
                   1600
                   1400
                   1200
                                      Bike fatalities
          Killed

                   1000
                   800
                   600
                   400




                              1940   1960          1980   2000

                                            Year
Outline                   Overview           What works?             Workshop          Presentation   Conclusions




                   1800
                   1600
                                     Bike fatalities and ownership




                                                                                1500
                   1400
                   1200
          Killed




                                                                                1000
                   1000
                   800




                                                                                500
                   600
                   400




                              1940         1960          1980        2000

                                                  Year
Outline        Overview     What works?    Workshop      Presentation   Conclusions



                                Global Problem




          ˆ Around 1.2 million deaths due to road collisions globally
            (mainly in developing world where motorcycles are relatively
            more common)
          ˆ In post-industrial countries, typically 1-2% of traffic, 15-25%
            of fatalities
Outline        Overview     What works?     Workshop      Presentation     Conclusions



                               Global solutions




          ˆ Helmets (compulsory in UK)
          ˆ Pre-licence training (minimal training now compulsory in UK)
          ˆ Post licence training not linked with licensing - no idea of
            popularity (estimated in US that around 1 in 4 P2W users
            have attended some kind of training)
Outline        Overview     What works?   Workshop   Presentation   Conclusions



                           Hierarchy of Evidence



          ˆ Systematic review
          ˆ Literature review
          ˆ Randomised controlled trial
          ˆ Case controlled study
          ˆ Cohort study
          ˆ Cross sectional study
          ˆ Anecdote
Outline        Overview     What works?     Workshop    Presentation   Conclusions



                              Cochrane Review




          ˆ High standards of critical review
          ˆ Produce a “live” document
          ˆ Good place to start
          ˆ We will review one in the workshop
          ˆ Is there any evidence that training interventions reduce PTW
            casualties?
Outline        Overview     What works?   Workshop      Presentation   Conclusions



                                Data modelling




          ˆ Overlapping idea - what is the evidence that age/experience
            are beneficial
Outline           Overview               What works?               Workshop               Presentation             Conclusions



                             The Daily Telegraph 22/10/200



          Born-again bikers who are riding for a fall
                     By David Bamber, Home Affairs Correspondent
                     POLICE have identified an increasing risk on the roads from affluent middle-aged men
              attempting to recapture their lost youth by riding powerful motorbikes.
                     Nicknamed “Bambis” by traffic police - born-again middle-aged bikers - they have inspired
              the Association of Chief Police Officers to launch a campaign to encourage bike dealers to ensure
              that their middle-aged customers get the training they need to meet the challenge that newer bikes
              pose.
                     Chief Insp David Short of North Yorkshire traffic police, whose research led to the current
              campaign, said: “Many of them used to ride bikes years ago but they don’t seem to realise that
              bikes have advanced so much over the past 20 years that today’s machines bear little resemblance
              to what they were used to. They return to biking with a little more money in their pockets and
              buy bikes that are actually very similar to performance bikes used in racing. They simply go too
              fast, lose control and hit something.”
Outline   Overview                  What works?                                 Workshop                                    Presentation   Conclusions



                     Before we zoom in a little
                                                               Fatal casualties
                                                                         1985 1988 1991 1994 1997 2000 2003 2006
                                                                           1986 1989 1992 1995 1998 2001 2004 2007
                                                                             1987 1990 1993 1996 1999 2002 2005 2008

                                                    Male                                    Male
                                                   80−89                                   90−99
                            80

                            60

                            40

                            20

                             0
                                                    Male                                    Male
                                                   60−69                                   70−79
                                                                                                                       80

                                                                                                                       60

                                                                                                                       40

                                                                                                                       20

                                                                                                                       0
                                                    Male                                    Male
                                                   40−49                                   50−59
                            80

                            60
                     Freq




                            40

                            20

                             0
                                                    Male                                    Male
                                                   20−29                                   30−39
                                                                                                                       80

                                                                                                                       60

                                                                                                                       40

                                                                                                                       20

                                                                                                                       0
                                                   Male                                     Male
                                                   0−9                                     10−19
                            80

                            60

                            40

                            20

                             0

                                 1985 1988 1991 1994 1997 2000 2003 2006
                                   1986 1989 1992 1995 1998 2001 2004 2007
                                     1987 1990 1993 1996 1999 2002 2005 2008
0
Outline   Overview               What works?                    Workshop          Presentation        Conclusions
                                                    Male                           Male
                                                   40−49                          50−59
                            80

                            60




                     Freq
                            40

                            20

                             0
                                                    Male                           Male
                                                   20−29                          30−39
                                                                                                 80

                                                                                                 60

                                                                                                 40

                                                                                                 20

                                                                                                 0
                                                   Male                            Male
                                                   0−9                            10−19
                            80

                            60

                            40

                            20

                             0

                                 1985 1988 1991 1994 1997 2000 2003 2006
                                   1986 1989 1992 1995 1998 2001 2004 2007
                                     1987 1990 1993 1996 1999 2002 2005 2008

                                                                     biker.year
Outline     Overview                  What works?                                 Workshop                                    Presentation   Conclusions



          But let’s aggregate the data in a different way
                                                                 Fatal casualties
                                                                           1985 1988 1991 1994 1997 2000 2003 2006
                                                                             1986 1989 1992 1995 1998 2001 2004 2007
                                                                               1987 1990 1993 1996 1999 2002 2005 2008

                                                     Male                                    Male
                                                     1880                                    1890
                              80
                              60
                              40
                              20
                               0
                                                     Male                                    Male
                                                     1900                                    1910
                                                                                                                         80
                                                                                                                         60
                                                                                                                         40
                                                                                                                         20
                                                                                                                         0
                                                     Male                                    Male
                                                     1920                                    1930
                              80
                              60
                              40
                              20
                               0
                                                     Male                                    Male
                                                     1940                                    1950
                                                                                                                         80
                                                                                                                         60
                       Freq




                                                                                                                         40
                                                                                                                         20
                                                                                                                         0
                                                     Male                                    Male
                                                     1960                                    1970
                              80
                              60
                              40
                              20
                               0
                                                     Male                                    Male
                                                     1980                                    1990
                                                                                                                         80
                                                                                                                         60
                                                                                                                         40
                                                                                                                         20
                                                                                                                         0
                                                     Male
                                                     2000
                              80
                              60
                              40
                              20
                               0
                                   1985 1988 1991 1994 1997 2000 2003 2006
                                     1986 1989 1992 1995 1998 2001 2004 2007
                                       1987 1990 1993 1996 1999 2002 2005 2008
40
Outline   Overview          20   What works?                    Workshop          Presentation        Conclusions
                             0
                                                   Male                           Male
                                                   1940                           1950
                                                                                                 80
                                                                                                 60




                     Freq
                                                                                                 40
                                                                                                 20
                                                                                                 0
                                                   Male                           Male
                                                   1960                           1970
                            80
                            60
                            40
                            20
                             0
                                                   Male                           Male
                                                   1980                           1990
                                                                                                 80
                                                                                                 60
                                                                                                 40
                                                                                                 20
                                                                                                 0
                                                   Male
                                                   2000
                            80
                            60
                            40
                            20
                             0
                                 1985 1988 1991 1994 1997 2000 2003 2006
                                   1986 1989 1992 1995 1998 2001 2004 2007
                                     1987 1990 1993 1996 1999 2002 2005 2008

                                                                     biker.year
Outline        Overview      What works?     Workshop      Presentation     Conclusions



                             What is this saying


          ˆ Data from STATs19 via Data Archive for 1985-2009
          ˆ All Motorcycle casualties
          ˆ Each cohort has a similar shape (high risk as 16/17 year olds,
            rapid decline in injuries) but then appears to show constant
            injury count)
          ˆ We don’t want to analyse tea-leaves BUT it’s hard to
            reconcile this with BAMBIs.
          ˆ It is easier to reconcile this with individual cohorts having
            different numbers of potential riders. What we see in a given
            year reflects the mix of cohorts in a given year.
Outline        Overview     What works?     Workshop    Presentation   Conclusions



                                Power and Risk




          ˆ Mattson and Summala (2010): evidence that more powerful
            bikes are always higher risk bikes
          ˆ Obvious comment on EU restrictions on bike power
          ˆ Our own work (Rolison et al. unpublished) also indicative that
            large bikes are always more dangerous
Outline        Overview     What works?    Workshop     Presentation   Conclusions



                                     Summary


          ˆ Cochrane Collaboration found little evidence that training was
            effective (yes, “more research needed”)
Outline        Overview     What works?    Workshop      Presentation   Conclusions



                                     Summary


          ˆ Cochrane Collaboration found little evidence that training was
            effective (yes, “more research needed”)
          ˆ Reaggregating STATs19 hints against BAMBIs - suggests the
            pattern of crashes we see is more due to popularity of biking
            in formative years and size of cohort.
Outline        Overview     What works?    Workshop      Presentation   Conclusions



                                     Summary


          ˆ Cochrane Collaboration found little evidence that training was
            effective (yes, “more research needed”)
          ˆ Reaggregating STATs19 hints against BAMBIs - suggests the
            pattern of crashes we see is more due to popularity of biking
            in formative years and size of cohort.
          ˆ Power analysis and (crude) bike size analysis suggest “large”
            bikes are always relatively more dangerous
Outline        Overview     What works?    Workshop      Presentation   Conclusions



                                     Summary


          ˆ Cochrane Collaboration found little evidence that training was
            effective (yes, “more research needed”)
          ˆ Reaggregating STATs19 hints against BAMBIs - suggests the
            pattern of crashes we see is more due to popularity of biking
            in formative years and size of cohort.
          ˆ Power analysis and (crude) bike size analysis suggest “large”
            bikes are always relatively more dangerous
          ˆ Therefore, training may be dangerous - because we can’t
            mitigate the effects of “large” bikes but we make people think
            we can)

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Road userbehaviourseminarjanuary2012

  • 1. Outline Overview What works? Workshop Presentation Conclusions Motorcyclists Paul Hewson paul.hewson@plymouth.ac.uk 10th January 2012
  • 2. Outline Overview What works? Workshop Presentation Conclusions Overview What works? Workshop Presentation Conclusions
  • 3. Outline Overview What works? Workshop Presentation Conclusions Headline figures For Engand 2009 (latest RRCGB) ˆ Deaths: 402 ˆ Serious: 4,809 ˆ Slight: 13,824 (add 86 deaths for Wales/Scotland/Northern Ireland)
  • 4. Outline Overview What works? Workshop Presentation Conclusions 1800 1600 1400 1200 Bike fatalities Killed 1000 800 600 400 1940 1960 1980 2000 Year
  • 5. Outline Overview What works? Workshop Presentation Conclusions 1800 1600 Bike fatalities and ownership 1500 1400 1200 Killed 1000 1000 800 500 600 400 1940 1960 1980 2000 Year
  • 6. Outline Overview What works? Workshop Presentation Conclusions Global Problem ˆ Around 1.2 million deaths due to road collisions globally (mainly in developing world where motorcycles are relatively more common) ˆ In post-industrial countries, typically 1-2% of traffic, 15-25% of fatalities
  • 7. Outline Overview What works? Workshop Presentation Conclusions Global solutions ˆ Helmets (compulsory in UK) ˆ Pre-licence training (minimal training now compulsory in UK) ˆ Post licence training not linked with licensing - no idea of popularity (estimated in US that around 1 in 4 P2W users have attended some kind of training)
  • 8. Outline Overview What works? Workshop Presentation Conclusions Hierarchy of Evidence ˆ Systematic review ˆ Literature review ˆ Randomised controlled trial ˆ Case controlled study ˆ Cohort study ˆ Cross sectional study ˆ Anecdote
  • 9. Outline Overview What works? Workshop Presentation Conclusions Cochrane Review ˆ High standards of critical review ˆ Produce a “live” document ˆ Good place to start ˆ We will review one in the workshop ˆ Is there any evidence that training interventions reduce PTW casualties?
  • 10. Outline Overview What works? Workshop Presentation Conclusions Data modelling ˆ Overlapping idea - what is the evidence that age/experience are beneficial
  • 11. Outline Overview What works? Workshop Presentation Conclusions The Daily Telegraph 22/10/200 Born-again bikers who are riding for a fall By David Bamber, Home Affairs Correspondent POLICE have identified an increasing risk on the roads from affluent middle-aged men attempting to recapture their lost youth by riding powerful motorbikes. Nicknamed “Bambis” by traffic police - born-again middle-aged bikers - they have inspired the Association of Chief Police Officers to launch a campaign to encourage bike dealers to ensure that their middle-aged customers get the training they need to meet the challenge that newer bikes pose. Chief Insp David Short of North Yorkshire traffic police, whose research led to the current campaign, said: “Many of them used to ride bikes years ago but they don’t seem to realise that bikes have advanced so much over the past 20 years that today’s machines bear little resemblance to what they were used to. They return to biking with a little more money in their pockets and buy bikes that are actually very similar to performance bikes used in racing. They simply go too fast, lose control and hit something.”
  • 12. Outline Overview What works? Workshop Presentation Conclusions Before we zoom in a little Fatal casualties 1985 1988 1991 1994 1997 2000 2003 2006 1986 1989 1992 1995 1998 2001 2004 2007 1987 1990 1993 1996 1999 2002 2005 2008 Male Male 80−89 90−99 80 60 40 20 0 Male Male 60−69 70−79 80 60 40 20 0 Male Male 40−49 50−59 80 60 Freq 40 20 0 Male Male 20−29 30−39 80 60 40 20 0 Male Male 0−9 10−19 80 60 40 20 0 1985 1988 1991 1994 1997 2000 2003 2006 1986 1989 1992 1995 1998 2001 2004 2007 1987 1990 1993 1996 1999 2002 2005 2008
  • 13. 0 Outline Overview What works? Workshop Presentation Conclusions Male Male 40−49 50−59 80 60 Freq 40 20 0 Male Male 20−29 30−39 80 60 40 20 0 Male Male 0−9 10−19 80 60 40 20 0 1985 1988 1991 1994 1997 2000 2003 2006 1986 1989 1992 1995 1998 2001 2004 2007 1987 1990 1993 1996 1999 2002 2005 2008 biker.year
  • 14. Outline Overview What works? Workshop Presentation Conclusions But let’s aggregate the data in a different way Fatal casualties 1985 1988 1991 1994 1997 2000 2003 2006 1986 1989 1992 1995 1998 2001 2004 2007 1987 1990 1993 1996 1999 2002 2005 2008 Male Male 1880 1890 80 60 40 20 0 Male Male 1900 1910 80 60 40 20 0 Male Male 1920 1930 80 60 40 20 0 Male Male 1940 1950 80 60 Freq 40 20 0 Male Male 1960 1970 80 60 40 20 0 Male Male 1980 1990 80 60 40 20 0 Male 2000 80 60 40 20 0 1985 1988 1991 1994 1997 2000 2003 2006 1986 1989 1992 1995 1998 2001 2004 2007 1987 1990 1993 1996 1999 2002 2005 2008
  • 15. 40 Outline Overview 20 What works? Workshop Presentation Conclusions 0 Male Male 1940 1950 80 60 Freq 40 20 0 Male Male 1960 1970 80 60 40 20 0 Male Male 1980 1990 80 60 40 20 0 Male 2000 80 60 40 20 0 1985 1988 1991 1994 1997 2000 2003 2006 1986 1989 1992 1995 1998 2001 2004 2007 1987 1990 1993 1996 1999 2002 2005 2008 biker.year
  • 16. Outline Overview What works? Workshop Presentation Conclusions What is this saying ˆ Data from STATs19 via Data Archive for 1985-2009 ˆ All Motorcycle casualties ˆ Each cohort has a similar shape (high risk as 16/17 year olds, rapid decline in injuries) but then appears to show constant injury count) ˆ We don’t want to analyse tea-leaves BUT it’s hard to reconcile this with BAMBIs. ˆ It is easier to reconcile this with individual cohorts having different numbers of potential riders. What we see in a given year reflects the mix of cohorts in a given year.
  • 17. Outline Overview What works? Workshop Presentation Conclusions Power and Risk ˆ Mattson and Summala (2010): evidence that more powerful bikes are always higher risk bikes ˆ Obvious comment on EU restrictions on bike power ˆ Our own work (Rolison et al. unpublished) also indicative that large bikes are always more dangerous
  • 18. Outline Overview What works? Workshop Presentation Conclusions Summary ˆ Cochrane Collaboration found little evidence that training was effective (yes, “more research needed”)
  • 19. Outline Overview What works? Workshop Presentation Conclusions Summary ˆ Cochrane Collaboration found little evidence that training was effective (yes, “more research needed”) ˆ Reaggregating STATs19 hints against BAMBIs - suggests the pattern of crashes we see is more due to popularity of biking in formative years and size of cohort.
  • 20. Outline Overview What works? Workshop Presentation Conclusions Summary ˆ Cochrane Collaboration found little evidence that training was effective (yes, “more research needed”) ˆ Reaggregating STATs19 hints against BAMBIs - suggests the pattern of crashes we see is more due to popularity of biking in formative years and size of cohort. ˆ Power analysis and (crude) bike size analysis suggest “large” bikes are always relatively more dangerous
  • 21. Outline Overview What works? Workshop Presentation Conclusions Summary ˆ Cochrane Collaboration found little evidence that training was effective (yes, “more research needed”) ˆ Reaggregating STATs19 hints against BAMBIs - suggests the pattern of crashes we see is more due to popularity of biking in formative years and size of cohort. ˆ Power analysis and (crude) bike size analysis suggest “large” bikes are always relatively more dangerous ˆ Therefore, training may be dangerous - because we can’t mitigate the effects of “large” bikes but we make people think we can)