Presentation on theme: "Victoria Pyta ARRB Group"— Presentation transcript:
1 Victoria Pyta ARRB Group Disadvantage and Road SafetyVictoria PytaARRB Group
2 Contents About this project Overview of literature review Preliminary findingsNext steps
3 BackgroundObjectivesDefinition of disadvantageProject Overview
4 Background Austroads project SS1761 (2012 – 2015) Project Team: Literature reviewData analysis and modellingConsultationProject Team:Project Technical Leader: Victoria Pyta (ARRB)Project Manager: Anita Baruah (VicRoads)Quality Manager: Dr Peter Cairney (ARRB)
5 Project Objectives1. Determine how the incidence, severity, nature and location of crash involvement varies between persons from more versus less disadvantaged areas.2. Gain an understanding of how road environment, vehicle and behavioural factors are related to crash likelihood and severity outcomes among persons from disadvantaged areas.3. Recommend evidence-based strategies for addressing the issues that are identified through this process.
6 What is disadvantage? What is disadvantage? Low income relative to others and/or expenditure on necessitiesBarriers to education, social opportunities or workA ‘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.
7 Literature review Effects of disadvantage on road trauma Factors that are associated with both disadvantage and road traumaInterventionsLiterature review
8 Victoria, Australia Victorian Injury Surveillance Unit Transport injuries represent 14% of all injuries in the hospital admissions dataPersons with greatest risk come from the 2nd and 3rd quintilesVictorian hospital data (2005 to 2007)Persons assigned to LGA of residenceLGA ranked by Index of Relative Social Disadvantage (IRSD)
9 New South Wales, Australia Remoteness and low SES associated with increased risk of death among young driversRural fatalitiesLow SES fatalitiesHigher posted speed limitsFatigueDrink-drivingSeatbelt non-useHigher posted speed limitsFatigueDriving an older vehicle
10 Indigenous populations of Australia and New Zealand Among most severely disadvantagedHigh road fatality rate compared to non-indigenous populationsCultural and language differencesAustraliaNew ZealandDrink drivingUnlicensed drivingRemoteness amplifies problems and accounts for much of the disparityOver-representation is particularly strong among year oldsDisparities persist after accounting for differences in SES
11 International Many 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 useSocio-cultural factors, i.e. peer group and culturePersonal factors, e.g. health, self-efficacy
12 Existing interventions Low 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 treatmentsEnforcement and diversionary programsPartnerships and community engagement
13 Data Analysis Data sources Results so far (exploratory descriptive analysis)Next steps, methods and data sourcesData Analysis
14 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)
15 Index of Relative Social Disadvantage (Australia) Takes into account:IncomeHousehold occupancyVehicle ownershipIllness and disability% of residents speaking LOTE% of residents of indigenous originEtc.
16 Preliminary results (drivers and riders, Victoria)
21 Remainder of 2013 – Modelling Develop model for crash risk associated with SES that takes into account:Demographic profile of areaRemotenessEnvironmental factors (e.g. speed limits)Individual demographic factors (age, gender etc.)Behavioural factors (e.g. restraint use)Other explanatory factors (e.g. vehicle age)
22 2014/15detailed consultation regarding the operation of programs for disadvantaged groups or locationsdevelop recommendations for actions to address these issues
23 Acknowledgements Data 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 committeeSupervisorDr Lyndon Walker, Swinburne University
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