Road traffic mortality in Iran: longitudinal trend and seasonal analysis, March 2011-February 2020

References

• Akhtar, S., & Ziyab, A. H. (2013). Impact of the penalty points system on severe road traffic injuries in Kuwait. Traffic Injury Prevention, 14(7), 743–748. https://doi.org/10.1080/15389588.2012.749466
   PubMed Web of Science ®Google Scholar
• Aminikhanghahi, S., & Cook, D. J. (2017). A survey of methods for time series change point detection. Knowledge and Information Systems, 51(2), 339–367. https://doi.org/10.1007/s10115-016-0987-z
   PubMed Web of Science ®Google Scholar
• Beck, L. F., Dellinger, A. M., & O’Neil, M. E. (2007). Motor vehicle crash injury rates by mode of travel, United States: Using exposure-based methods to quantify differences. American Journal of Epidemiology, 166(2), 212–218. https://doi.org/10.1093/aje/kwm064
   PubMed Web of Science ®Google Scholar
• Box, G. E., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time series analysis: Forecasting and control. Wiley.
   Google Scholar
• Castillo-Manzano, J. I., Castro-Nuño, M., López-Valpuesta, L., & Pedregal, D. J. (2019). From legislation to compliance: The power of traffic law enforcement for the case study of Spain. Transport Policy, 75, 1–9. https://doi.org/10.1016/j.tranpol.2018.12.009
   Web of Science ®Google Scholar
• Chatfield, C. (2019). Chris, and H. Xing. The analysis of time Series: An introduction with R. CRC Press.
   Google Scholar
• Chi, G., Brown, W., Zhang, X., & Zheng, Y. (2015). Safer roads owing to higher gasoline prices: How long it takes. American Journal of Public Health, 105(8), e119–25–e125. https://doi.org/10.2105/AJPH.2015.302579
   PubMed Web of Science ®Google Scholar
• Chi, G., Cosby, A. G., Quddus, M. A., Gilbert, P. A., & Levinson, D. (2010). Gasoline prices and traffic safety in Mississippi. Journal of Safety Research, 41(6), 493–500. https://doi.org/10.1016/j.jsr.2010.10.003
   PubMed Web of Science ®Google Scholar
• Chi, G., Porter, J. R., Cosby, A. G., & Levinson, D. (2013). The impact of gasoline price changes on traffic safety: A time geography explanation. Journal of Transport Geography, 28, 1–11. https://doi.org/10.1016/j.jtrangeo.2012.08.015
   Web of Science ®Google Scholar
• de Figueiredo, L. F. P., Rasslan, S., Bruscagin, V., Cruz, R., Jr., & e Silva, M. R. (2001). Increases in fines and driver licence withdrawal have effectively reduced immediate deaths from trauma on Brazilian roads: First-year report on the new traffic code. Injury, 32(2), 91–94. https://doi.org/10.1016/s0020-1383(00)00172-8
   PubMed Web of Science ®Google Scholar
• DeAngelo, G., & Hansen, B. (2014). Life and death in the fast lane: Police enforcement and traffic fatalities. American Economic Journal: Economic Policy, 6(2), 231–257. https://doi.org/10.1257/pol.6.2.231
   Web of Science ®Google Scholar
• Delavary Foroutaghe, M., Mohammadzadeh Moghaddam, A., & Fakoor, V. (2020). Impact of law enforcement and increased traffic fines policy on road traffic fatality, injuries and offenses in Iran: Interrupted time series analysis. PLoS One, 15(4), e0231182. https://doi.org/10.1371/journal.pone.0231182
   PubMed Web of Science ®Google Scholar
• Delavary, M., Ghayeninezhad, Z., & Lavallière, M. (2020). Evaluating the impact of increased fuel cost and Iran’s currency devaluation on road traffic volume and offenses in Iran, 2011–2019. Safety, 6(4), 49. https://doi.org/10.3390/safety6040049
   Web of Science ®Google Scholar
• Delavary, M., Kalantari, A. H., Farsangi, H., Moghadam, A. M., Hadianfar, A., Vanlaar, W., & Lavalliere, M. (n.d). Impact of Covid-19 restrictions and fuel price on traffic volume and offenses in Iran: A spatiotemporal analysis. SSRN 4115432.
   Google Scholar
• Deretić, N., Stanimirović, D., Awadh, M. A., Vujanović, N., & Djukić, A. (2022). SARIMA modelling approach for forecasting of traffic accidents. Sustainability, 14(8), 4403. https://doi.org/10.3390/su14084403
   Web of Science ®Google Scholar
• Elvik, R. (2016). Association between increase in fixed penalties and road safety outcomes: A meta-analysis. Accident; Analysis and Prevention, 92, 202–210. https://doi.org/10.1016/j.aap.2016.03.028
   PubMed Web of Science ®Google Scholar
• Fatemi, M., & Alizadeh, O. (2019). Investigating the impact of fuel price management on public transport use a case study of public road transport in East Azerbaijan Province Islamic Republic of Iran. Journal of Injury and Violence Research, 11(4 Suppl 2), Paper No. 181.
   Google Scholar
• Foreman, K. J., Marquez, N., Dolgert, A., Fukutaki, K., Fullman, N., McGaughey, M., Pletcher, M. A., Smith, A. E., Tang, K., Yuan, C.-W., Brown, J. C., Friedman, J., He, J., Heuton, K. R., Holmberg, M., Patel, D. J., Reidy, P., Carter, A., Cercy, K., … Murray, C. J. L. (2018). Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: Reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet (London, England), 392(10159), 2052–2090. https://doi.org/10.1016/S0140-6736(18)31694-5
   PubMed Web of Science ®Google Scholar
• France 24. (2019). Iran radically raises petrol prices by 50 percent.
   Google Scholar
• Haghighi, M. R. R., Sayari, M., Ghahramani, S., & Lankarani, K. B. (2020). Social, economic, and legislative factors and global road traffic fatalities. BMC Public Health, 20(1), 1413. https://doi.org/10.1186/s12889-020-09491-x
   PubMed Web of Science ®Google Scholar
• Haghpanahan, H., Lewsey, J., Mackay, D. F., McIntosh, E., Pell, J., Jones, A., Fitzgerald, N., & Robinson, M. (2019). An evaluation of the effects of lowering blood alcohol concentration limits for drivers on the rates of road traffic accidents and alcohol consumption: A natural experiment. Lancet (London, England), 393(10169), 321–329. https://doi.org/10.1016/S0140-6736(18)32850-2
   PubMed Web of Science ®Google Scholar
• Haque, M. O. (1993). Unemployment and road fatalities. International Journal of Transport Economics/Rivista Internazionale Di Economia Dei Trasporti, 2(1), 175–195.
   Google Scholar
• Hyndman, R. J., & Athanasopoulos, G. (2012). Forecasting: Principles and practice. An online textbook. Scientific Research Publishing.
   Google Scholar
• Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and practice. OTexts.
   Google Scholar
• Inada, H., Li, Q., Bachani, A., & Hyder, A. A. (2020). Forecasting global road traffic injury mortality for 2030. Injury Prevention : Journal of the International Society for Child and Adolescent Injury Prevention, 26(4), 339–343. https://doi.org/10.1136/injuryprev-2019-043336
   PubMed Web of Science ®Google Scholar
• Iranian Legal Medicine Organization (ILMO). (2020). Road related statistics.
   Google Scholar
• Iranian Legal Medicine Organization. (2020). Road related statistics.
   Google Scholar
• Jamali-Dolatabad, M., Sadeghi-Bazargani, H., & Mousavi, S. (2022). Applying count time series to assess 13-year pedestrian mortality trend caused by traffic accidents in East-Azerbaijan Province, Iran. International Journal of Injury Control and Safety Promotion, 29(2), 239–246. https://doi.org/10.1080/17457300.2021.1998134
   PubMed Web of Science ®Google Scholar
• Khan, M. A., Grivna, M., Nauman, J., Soteriades, E. S., Cevik, A. A., Hashim, M. J., Govender, R., & Al Azeezi, S. R. (2020). Global incidence and mortality patterns of pedestrian road traffic injuries by sociodemographic index, with forecasting: findings from the global burden of diseases, injuries, and risk factors 2017 study. International Journal of Environmental Research and Public Health, 17(6), 2135. https://doi.org/10.3390/ijerph17062135
   PubMed Web of Science ®Google Scholar
• Lavrenz, S. M., Vlahogianni, E. I., Gkritza, K., & Ke, Y. (2018). Time series modeling in traffic safety research. Accident; Analysis and Prevention, 117, 368–380. https://doi.org/10.1016/j.aap.2017.11.030
   PubMed Web of Science ®Google Scholar
• Luca, D. L. (2015). Do traffic tickets reduce motor vehicle accidents? Evidence from a natural experiment. Journal of Policy Analysis and Management, 34(1), 85–106. https://doi.org/10.1002/pam.21798
   Web of Science ®Google Scholar
• Makowsky, M. D., & Stratmann, T. (2011). More tickets, fewer accidents: How cash-strapped towns make for safer roads. The Journal of Law and Economics, 54(4), 863–888. https://doi.org/10.1086/659260
   Web of Science ®Google Scholar
• Makridakis, S. G., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: Methods and applications (3rd ed.). New York Ua.
   Google Scholar
• Mashhadi, R., Mahdi, M., Saha, P., & Ksaibati, K. (2017). Impact of traffic enforcement on traffic safety. International Journal of Police Science & Management, 19(4), 238–246.
   Google Scholar
• Ministry of Roads and Urban Development. (2009). Iran’s road safety strategic plan.
   Google Scholar
• Naqvi, N. K., Quddus, M. A., & Enoch, M. P. (2020). Do higher fuel prices help reduce road traffic accidents? Accident; Analysis and Prevention, 135, 105353. https://doi.org/10.1016/j.aap.2019.105353
   PubMed Web of Science ®Google Scholar
• National Organization of Civil Registration. (2020).
   Google Scholar
• Pohlert, T. (2016). Non-parametric trend tests and change-point detection. CC BY-ND, 4, 1–18.
   Google Scholar
• Safaei, N., Zhou, C., Safaei, B., & Masoud, A. (2021). Gasoline prices and their relationship to the number of fatal crashes on US roads. Transportation Engineering, 4, 100053. https://doi.org/10.1016/j.treng.2021.100053
   Google Scholar
• Saha, S., Schramm, P., Nolan, A., & Hess, J. (2016). Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012. Environmental Health, 15(1), 1–9. https://doi.org/10.1186/s12940-016-0189-x
   PubMedGoogle Scholar
• Sekadakis, M., Katrakazas, C., Michelaraki, E., Kehagia, F., & Yannis, G. (2021). Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece. Accident; Analysis and Prevention, 162, 106391. https://doi.org/10.1016/j.aap.2021.106391
   PubMed Web of Science ®Google Scholar
• Sheng, R., Zhong, S., Barnett, A. G., Weiner, B. J., Xu, J., Li, H., Xu, G., He, T., & Huang, C. (2018). Effect of traffic legislation on road traffic deaths in Ningbo, China. Annals of Epidemiology, 28(8), 576–581. https://doi.org/10.1016/j.annepidem.2018.04.004
   PubMed Web of Science ®Google Scholar
• Sim, H. J., Chong, C. W., Kassim, K. A. A., Mooi, C. S., & Yuruixian, Z. (2022). Forecasting road traffic fatalities in Malaysia using seasonal autoregressive integrated moving average (SARIMA) model. Pertanika Journal of Science & Technology, 30(2), 897–911.
   Web of Science ®Google Scholar
• United Nations, General Assembly. (2010). 64/255, improving global road safety. United Nations General Assembly.
   Google Scholar
• United Nations. (2016). Transforming our world: The 2030 agenda for sustainable development.
   Google Scholar
• Wegman, F., Allsop, R., Antoniou, C., Bergel-Hayat, R., Elvik, R., Lassarre, S., Lloyd, D., & Wijnen, W. (2017). How did the economic recession (2008–2010) influence traffic fatalities in OECD-countries? Accident; Analysis and Prevention, 102, 51–59. https://doi.org/10.1016/j.aap.2017.01.022
   PubMed Web of Science ®Google Scholar
• Wolff, H. (2014). Value of time: Speeding behavior and gasoline prices. Journal of Environmental Economics and Management, 67(1), 71–88. https://doi.org/10.1016/j.jeem.2013.11.002
   Web of Science ®Google Scholar
• World Health Organization. (2019). Global action plan on physical activity 2018-2030: More active people for a healthier world.
   Google Scholar
• Yannis, G., Antoniou, C., & Papadimitriou, E. (2011). Autoregressive nonlinear time-series modeling of traffic fatalities in Europe. European Transport Research Review, 3(3), 113–127. https://doi.org/10.1007/s12544-011-0055-4
   Google Scholar
• Yousefzadeh-Chabok, S., Ranjbar-Taklimie, F., Malekpouri, R., & Razzaghi, A. (2016). A time series model for assessing the trend and forecasting the road traffic accident mortality. Archives of Trauma Research, 5(3), e36570. https://doi.org/10.5812/atr.36570
   PubMedGoogle Scholar
• Zhao, K., Hu, T., Li, Y., Dongarra, J., Moler, C., & Zhao, M. K. (2022). Package “Rbeast.”
   Google Scholar
• Zhao, K., Wulder, M. A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X., & Brown, M. (2019). Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm. Remote Sensing of Environment, 232, 111181. https://doi.org/10.1016/j.rse.2019.04.034
   Web of Science ®Google Scholar