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Road Safety Trends and Vulnerable Groups in  South Asia Raj V Ponnaluri, P.E. Transforming Transportation January 15, 2009
Opening Comments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RTIs Worldwide ,[object Object],[object Object],[object Object],[object Object],[object Object]
World Fatality Trends (1980-1995) Source: Transport  Research Laboratory;  Extracted from “The neglected epidemic: road traffic injuries  in developing countries” by Nantulya and Reich.  Of all regions, Asia is impacted  the most
South Asia ,[object Object],[object Object],[object Object],[object Object],[object Object]
Road Crashes in South Asia: A Perspective ,[object Object],[object Object],[object Object],[object Object]
SA: Fatalities and Injuries Source: Asian Development Bank SA (25 F/10K V), Nepal (61), Bangladesh (49),  India (25) SA (104 I/10K V), Sri Lanka (190) India (112), Nepal (93) SA (5.7 F/100K P), Sri Lanka (8.9), India (6.8),  Pakistan (4.9) SA (24 I/100K P), Sri Lanka (104), India (30),  Pakistan (12) Severity Index: SA (19 F/100 Crashes), Bangladesh (41), Nepal (40),  Bhutan/Pak (30)
In Essence…. India experienced the most fatality and injury rates followed  by Sri Lanka. Pakistan had experienced high rates of fatalities and injuries per 100K people. Nepal and Bangladesh also saw RTI concerns. Rank  (1992 -1994) Fatalities per 10,000 Vehicles Injuries per 10,000 Vehicles Fatalities per 100,000 People Injuries per 100,000 People Severity Index  (Fatal Crashes /  Total Crashes) 1 Nepal Sri Lanka Sri Lanka Sri Lanka Bangladesh 2 Bangladesh India India India Nepal 3 India Nepal Pakistan Pakistan Bhutan/Pakistan
South Asia: Road Traffic Injuries in Children under 19 years ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
South Asia: RTI Burden on Children and Adolescents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
South Asia: Road User Types in Children and Adolescents ,[object Object],[object Object],[object Object],[object Object]
Sri Lanka, India: RTIs and Alcohol ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Indian Domination in South Asia ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Crash Risk in India – 1970~2005 Fatality and Injury risk  per 10,000 vehicles  is dropping mainly  due to large  vehicle  volumes  increases. Fatality and Injury risk  per 100,000 people  is increasing despite  accelerating population growth:  cause for concern .
India: 2001 vs. 2005; Nationwide vs. UAs Nationwide Main Risk Types:  Heavy Vehicles, MTWVs,  and Buses 35 UAs Main Risk Types:  MTWVs, Peds, Heavy  Vehicles, Buses UAs where most  women travel to work, children  go to school and urban poor depend  on public transport are  at high risk
Major Risk  Categories - NATIONWIDE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Major Risk  Categories – Cities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
India: 2001 Male, Female by Vehicle Type Men:Women =83%:17%; Women Share: Ped: 21%;  Bus, Car, 3-W: 20% each; MTWVs: 12%; Bikes: 10%. 59% or more incidents were treated outside a medical facility. Despite less women at risk overall,  given that several have limited access to healthcare, it is likely that  a large number of women  may remain untreated.  2001 - Medical Attention in Rural, Urban and all India
Andhra Pradesh, India Fatalities at schools/colleges increased but persons  injured dropped. Large increase in fatalities  and persons injured at several locations:  Poor ACCESS MANAGEMENT. 2001 to 2006: Fatal  Crashes (as a % of all  crashes)at these vulnerable  locations increased,  albeit  slightly. Fatal crashes increased  substantially while non- injury crashes dropped  signifying  a concerning  trend of  crash intensity.   AP: 2001 and 2006 Fatal Crashes (%) at key locations
AP: Fatalities and Persons Injured by Age and Gender Among various age groups,  Female fatalities ranged 14%-32%  with the max in age range 6 to 14 yrs.  Among both males and females, 21-44  year olds had 58% fatalities. Female injured ranged  12%-37% with the max in age group  under 5 yrs. among age groups, 21-44  old had 57% injured. Year 2006 vs. 2001 Comparison (% change)   Fatalities Persons Injured AGE Male Female Total Male Female Total < 5 yrs 164   53  122  183  175  180  6-9 yrs 121  119  120  250  266  255  10-14 yrs 97  84  93  21  245  49  15-17 yrs (15) 47  (7) (11) 88  1  18-20 yrs 121  1  87  63  232   78  21-24 yrs 126  (40) 70  49  (35) 21  25-34 yrs 68  (34) 43  96  (24) 63  35-44 yrs 65  (16) 45  143   (5) 105  45-54 yrs 29  29  29  73  (3) 57  55-64 yrs (10) 153  1  (17) 36  (11) 65,+ yrs 807   165  557   792  290  627  TOTAL 66  (5) 50  74  7  58
Karachi, Pakistan -  A Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Karachi –  RTIs among Children ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bangladesh - A Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bangladesh –  RTI vis-à-vis Children ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Afghanistan –  An Empirical Survey ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Afghanistan –  An Empirical Survey ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Afghanistan –  An Empirical Survey ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Vulnerable Categories ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Needs of the Hour… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Needs of the Hour ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Issues and Opportunities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Issues and Opportunities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Issues and Opportunities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Issues and Opportunities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Issues and Opportunities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Road Safety Trends and Vulnerable Groups in South Asia

  • 1. Road Safety Trends and Vulnerable Groups in South Asia Raj V Ponnaluri, P.E. Transforming Transportation January 15, 2009
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  • 4. World Fatality Trends (1980-1995) Source: Transport Research Laboratory; Extracted from “The neglected epidemic: road traffic injuries in developing countries” by Nantulya and Reich. Of all regions, Asia is impacted the most
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  • 7. SA: Fatalities and Injuries Source: Asian Development Bank SA (25 F/10K V), Nepal (61), Bangladesh (49), India (25) SA (104 I/10K V), Sri Lanka (190) India (112), Nepal (93) SA (5.7 F/100K P), Sri Lanka (8.9), India (6.8), Pakistan (4.9) SA (24 I/100K P), Sri Lanka (104), India (30), Pakistan (12) Severity Index: SA (19 F/100 Crashes), Bangladesh (41), Nepal (40), Bhutan/Pak (30)
  • 8. In Essence…. India experienced the most fatality and injury rates followed by Sri Lanka. Pakistan had experienced high rates of fatalities and injuries per 100K people. Nepal and Bangladesh also saw RTI concerns. Rank (1992 -1994) Fatalities per 10,000 Vehicles Injuries per 10,000 Vehicles Fatalities per 100,000 People Injuries per 100,000 People Severity Index (Fatal Crashes / Total Crashes) 1 Nepal Sri Lanka Sri Lanka Sri Lanka Bangladesh 2 Bangladesh India India India Nepal 3 India Nepal Pakistan Pakistan Bhutan/Pakistan
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  • 14. Crash Risk in India – 1970~2005 Fatality and Injury risk per 10,000 vehicles is dropping mainly due to large vehicle volumes increases. Fatality and Injury risk per 100,000 people is increasing despite accelerating population growth: cause for concern .
  • 15. India: 2001 vs. 2005; Nationwide vs. UAs Nationwide Main Risk Types: Heavy Vehicles, MTWVs, and Buses 35 UAs Main Risk Types: MTWVs, Peds, Heavy Vehicles, Buses UAs where most women travel to work, children go to school and urban poor depend on public transport are at high risk
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  • 18. India: 2001 Male, Female by Vehicle Type Men:Women =83%:17%; Women Share: Ped: 21%; Bus, Car, 3-W: 20% each; MTWVs: 12%; Bikes: 10%. 59% or more incidents were treated outside a medical facility. Despite less women at risk overall, given that several have limited access to healthcare, it is likely that a large number of women may remain untreated. 2001 - Medical Attention in Rural, Urban and all India
  • 19. Andhra Pradesh, India Fatalities at schools/colleges increased but persons injured dropped. Large increase in fatalities and persons injured at several locations: Poor ACCESS MANAGEMENT. 2001 to 2006: Fatal Crashes (as a % of all crashes)at these vulnerable locations increased, albeit slightly. Fatal crashes increased substantially while non- injury crashes dropped signifying a concerning trend of crash intensity. AP: 2001 and 2006 Fatal Crashes (%) at key locations
  • 20. AP: Fatalities and Persons Injured by Age and Gender Among various age groups, Female fatalities ranged 14%-32% with the max in age range 6 to 14 yrs. Among both males and females, 21-44 year olds had 58% fatalities. Female injured ranged 12%-37% with the max in age group under 5 yrs. among age groups, 21-44 old had 57% injured. Year 2006 vs. 2001 Comparison (% change)   Fatalities Persons Injured AGE Male Female Total Male Female Total < 5 yrs 164 53 122 183 175 180 6-9 yrs 121 119 120 250 266 255 10-14 yrs 97 84 93 21 245 49 15-17 yrs (15) 47 (7) (11) 88 1 18-20 yrs 121 1 87 63 232 78 21-24 yrs 126 (40) 70 49 (35) 21 25-34 yrs 68 (34) 43 96 (24) 63 35-44 yrs 65 (16) 45 143 (5) 105 45-54 yrs 29 29 29 73 (3) 57 55-64 yrs (10) 153 1 (17) 36 (11) 65,+ yrs 807 165 557 792 290 627 TOTAL 66 (5) 50 74 7 58
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