Victoria Pyta ARRB Group Disadvantage and Road Safety Contents Project Overview Background Objectives Definition of disadvantage Background Austroads project SS1761 2012 2015 Literature review ID: 772272
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Victoria Pyta ARRB Group Disadvantage and Road Safety
Contents
Project Overview Background Objectives Definition of disadvantage
BackgroundAustroads project SS1761 (2012 – 2015)Literature reviewData analysis and modelling ConsultationProject Team:Project Technical Leader: Victoria Pyta (ARRB)Project Manager: Anita Baruah ( VicRoads ) Quality Manager: Dr Peter Cairney (ARRB)
Project Objectives
What is disadvantage?What is disadvantage?Low income relative to others and/or expenditure on necessitiesBarriers to education, social opportunities or work A ‘relative’ and ‘multi-dimensional’ conceptHow is disadvantage related to road safety?Socio-economic disadvantage is associated with higher injury rates due to transport-related injuries.
Literature review Effects of disadvantage on road trauma Factors that are associated with both disadvantage and road trauma Interventions
Victoria, Australia Victorian Injury Surveillance Unit Transport injuries represent 14% of all injuries in the hospital admissions data Persons with greatest risk come from the 2 nd and 3 rd quintiles
New South Wales, Australia Remoteness and low SES associated with increased risk of death among young drivers Rural fatalities Higher posted speed limits F atigue D rink-driving S eatbelt non-use Low SES fatalities Higher posted speed limits Fatigue Driving an older vehicle
Indigenous populations of Australia and New Zealand Australia Drink driving Unlicensed driving Remoteness amplifies problems and accounts for much of the disparity New Zealand Among most severely disadvantaged High road fatality rate compared to non-indigenous populations Cultural and language differences Over-representation is particularly strong among 15-24 year olds Disparities persist after accounting for differences in SES
InternationalMany studies (UK, Europe, Israel, USA)Disadvantage associated with higher risk, particularly for child pedestriansConcomitant factors:Environmental, e.g. location (especially remoteness), exposureBehavioural factors, e.g. unlicensed driving, drug and alcohol use Socio-cultural factors , i.e. peer group and culture Personal factors , e.g. health, self-efficacy
Existing interventionsLow income earners (registration discounts and discounts on drink drive programs)Indigenous communities (wide range)CALD communities (translation, education and awareness raising, licensing assistance)Young drivers (supervised practice, first car safety) Children (proper restraint use and early childhood road safety education) Engineering treatments Enforcement and diversionary programs Partnerships and community engagement
Data Analysis Data sources Results so far (exploratory descriptive analysis) Next steps, methods and data sources
Data sources (Australia)Crash data with postcode of crash involved personsVic, NSW, SANZ (needs to be geocoded) SES dataABS Index of Relative Social Disadvantage (IRSD)Remoteness dataABS remoteness indexPotential for inclusion of travel survey datae.g. ABS Survey of Motor Vehicle Use (SMVU)
Index of Relative Social Disadvantage (Australia)Takes into account:IncomeHousehold occupancyVehicle ownership Illness and disability% of residents speaking LOTE% of residents of indigenous originEtc.
Preliminary results (drivers and riders, Victoria)
Preliminary results (drivers and riders, NSW)
Preliminary results (drivers and riders, SA)
South Australia (All road users, 10 years) IRSD Quintile Population (2006) Number of persons Rate per 100,000 population Killed Seriously Injured Total Killed Seriously Injured Total Q1 321 177 713 4 684 5 397 22.2 145.8 168.0 Q2 299 664 520 4 064 4 584 17.4 135.6 153.0 Q3 269 246 496 3 492 3 988 18.4 129.7 148.1 Q4 298 705 429 3 595 4 024 14.4 120.4 134.7 Q5 320 437 378 3 395 3 773 11.8 105.9 117.7 TOTAL 1 509 229 2 536 19 230 21 766 16.8 127.4 144.2
Years 2 and 3 Looking forward
Remainder of 2013 – Modelling Develop model for crash risk associated with SES that takes into account:Demographic profile of area RemotenessEnvironmental factors (e.g. speed limits)Individual demographic factors (age, gender etc.)Behavioural factors (e.g. restraint use) Other explanatory factors (e.g. vehicle age)
2014/15 detailed consultation regarding the operation of programs for disadvantaged groups or locations develop recommendations for actions to address these issues
Acknowledgementsvictoria.pyta@arrb.com.au +61 3 9881 1640Data providers in road agencies SS1761 Project Team: Dr Peter Cairney, Principal Behavioural Scientist (ARRB) Anita Baruah , Senior Policy Analyst, Road Safety and Network Access ( VicRoads ) Project steering committee Supervisor Dr Lyndon Walker, Swinburne University