TY - JOUR
T1 - Time-series projecting road traffic fatalities in Australia
T2 - Insights for targeted safety interventions
AU - Soltani, Ali
AU - Afshari, Saeid
AU - Amiri, Mohammad Amin
PY - 2025/3
Y1 - 2025/3
N2 - 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.
AB - 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.
KW - Australia
KW - Fatalities
KW - Machine learning
KW - Road user
KW - Time series
KW - Traffic safety
KW - Zero-fatality vision
UR - http://www.scopus.com/inward/record.url?scp=85217956745&partnerID=8YFLogxK
U2 - 10.1016/j.injury.2025.112166
DO - 10.1016/j.injury.2025.112166
M3 - Article
AN - SCOPUS:85217956745
SN - 0020-1383
VL - 56
JO - Injury
JF - Injury
IS - 3
M1 - 112166
ER -