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

被引:0
|
作者
Soltani, Ali [1 ,2 ,3 ]
Afshari, Saeid [4 ]
Amiri, Mohammad Amin [5 ]
机构
[1] Flinders Univ S Australia, FHMRI, Bedford Pk, SA 5042, Australia
[2] LE STUDIUM Loire Valley Inst Adv Studies, Orleans, France
[3] Univ Orleans, CEDETE Res Ctr, Orleans, France
[4] Univ Isfahan, Dept Comp Engn, Shahreza Campus, Esfahan, Iran
[5] Univ Isfahan, Fac Math & Stat, Esfahan, Iran
关键词
Road user; Fatalities; Time series; Zero-fatality vision; Australia; Traffic safety; Machine learning; CRASH INJURY SEVERITY; ABSOLUTE ERROR MAE; URBAN; ACCIDENTS; TRAUMA; SPEED; FREQUENCY; DEATHS; RMSE;
D O I
10.1016/j.injury.2025.112166
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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.
引用
收藏
页数:17
相关论文
共 50 条
  • [42] Nonlinear time-series model for VER video traffic
    Davis, JL
    Chandra, K
    Thompson, C
    25TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS - PROCEEDINGS, 2000, : 678 - 683
  • [43] CAUSAL TIME-SERIES ANALYSIS EXEMPLIFIED BY THE TELEPHONE TRAFFIC
    JAGER, R
    FREQUENZ, 1994, 48 (7-8) : 162 - 176
  • [44] Projecting utilization of hospital in-patient days in The Netherlands: A time-series analysis
    Postma, MJ
    Ruwaard, D
    Jager, HJC
    Dekkers, ALM
    IMA JOURNAL OF MATHEMATICS APPLIED IN MEDICINE AND BIOLOGY, 1995, 12 (3-4): : 185 - 202
  • [45] Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings
    Fior, Jacopo
    Cagliero, Luca
    2021 IEEE 45TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2021), 2021, : 402 - 407
  • [46] Effectiveness of Integrated Trauma System Implementation on Road Traffic Fatalities and Injuries in the North of Iran Using an Interrupted Time Series Analysis
    Rad, Enayatollah Homaie
    Sadeghian, Farideh
    Ghodsi, Zahra
    Yousefzadeh-Chabok, Shahrokh
    Hameghavandi, Mohammad Hosein Ranjbar
    Ghashghaee, Shahriar
    Mohtasham-Amiri, Zahra
    Heidari, Hamid
    O'Reilly, Gerard
    Ghodsi, Seyed Mohammad
    Rahimi-Movaghar, Vafa
    JOURNAL OF RESEARCH IN HEALTH SCIENCES, 2025, 25 (01)
  • [47] PROJECTING AGE-SPECIFIC FERTILITY RATES BY USING TIME-SERIES METHODS
    DEBEER, J
    EUROPEAN JOURNAL OF POPULATION-REVUE EUROPEENNE DE DEMOGRAPHIE, 1989, 5 (04): : 315 - 346
  • [48] Comment on: Interventions to control MRSA: high time for time-series analysis?
    Gould, Ian M.
    JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2009, 63 (01) : 224 - 224
  • [49] The impact of alcohol and road traffic policies on crash rates in Botswana, 2004-2011: A time-series analysis
    Sebego, Miriam
    Naumann, Rebecca B.
    Rudd, Rose A.
    Voetsch, Karen
    Dellinger, Ann M.
    Ndlovu, Christopher
    ACCIDENT ANALYSIS AND PREVENTION, 2014, 70 : 33 - 39
  • [50] Evaluating the Impact of Criminalizing Drunk Driving on Road-Traffic Injuries in Guangzhou, China: A Time-Series Study
    Zhao, Ang
    Chen, Renjie
    Qi, Yongqing
    Chen, Ailan
    Chen, Xinyu
    Liang, Zijing
    Ye, Jianjun
    Liang, Qing
    Guo, Duanqiang
    Li, Wanglin
    Li, Shuangming
    Kan, Haidong
    JOURNAL OF EPIDEMIOLOGY, 2016, 26 (08) : 433 - 439