Time-series projecting road traffic fatalities in Australia: Insights for targeted safety interventions

Despite substantial progress in road safety, road traffic fatalities (RTFs) continue to be a persistent issue in Australia. This study aims to forecast RTFs trends up to 2050 by analyzing factors such as geographic location, age, gender, speed limits, and time of occurrence. Utilizing historical data from 1989 to 2024, fatalities were categorized by road user type, demographics, and day of the week. The Facebook Prophet time series model, incorporating categorical variables like region, age, and speed limits, was employed to predict future trends. The analysis reveals significant regional disparities in fatality reduction rates, with some areas lagging others. Gender-specific forecasts indicate a sharper decline in male fatalities compared to females, while projections highlight persistent risks for older drivers. Additionally, highways with higher speed limits are expected to see a substantial decrease in fatalities. These insights emphasize the need for targeted interventions in areas with slower reductions and high-risk demographic groups, aiding policymakers in refining safety measures, enforcing speed limits, and enhancing public awareness campaigns.

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Publication Details

Journal
Injury
Published
2025-01-27
DOI
https://doi.org/10.1016/j.injury.2025.112166
Citations
9
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
11.73
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article

Time-series projecting road traffic fatalities in Australia: Insights for targeted safety interventions

Mohammad Amin Amiri, Alì Soltani, Saeid Afshari
9 citations
Injury
Traffic and Road Safety
11.73
article

Time-series projecting road traffic fatalities in Australia: Insights for targeted safety interventions

Mohammad Amin Amiri, Alì Soltani, Saeid Afshari
article en
9 citations

Abstract

Despite substantial progress in road safety, road traffic fatalities (RTFs) continue to be a persistent issue in Australia. This study aims to forecast RTFs trends up to 2050 by analyzing factors such as geographic location, age, gender, speed limits, and time of occurrence. Utilizing historical data from 1989 to 2024, fatalities were categorized by road user type, demographics, and day of the week. The Facebook Prophet time series model, incorporating categorical variables like region, age, and speed limits, was employed to predict future trends. The analysis reveals significant regional disparities in fatality reduction rates, with some areas lagging others. Gender-specific forecasts indicate a sharper decline in male fatalities compared to females, while projections highlight persistent risks for older drivers. Additionally, highways with higher speed limits are expected to see a substantial decrease in fatalities. These insights emphasize the need for targeted interventions in areas with slower reductions and high-risk demographic groups, aiding policymakers in refining safety measures, enforcing speed limits, and enhancing public awareness campaigns.

InjuryVol. 56(3)
Flinders University (AU), University of Isfahan (IR), Islamic Azad University of Shahreza (IR), Le Studium (FR)
Openalex Percentile: Top 1%
Traffic and Road Safety
11.73
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