СТАТИСТИЧЕСКИЙ АНАЛИЗ ДОРОЖНО-ТРАНСПОРТНЫХ ПРОИСШЕСТВИЙ ПО ВРЕМЕНИ И ДНЮ НЕДЕЛИ: МЕТОДОЛОГИЯ ИССЛЕДОВАНИЯ В ТОКИО БУДЕТ СЛУЖИТЬ ПРОЕКТОМ ДЛЯ БУДУЩЕГО ИССЛЕДОВАНИЯ В КАЗАХСТАНЕ
Introduction: In the future, detailed studies will need to be performed in Japan in order to devise more effective measures to prevent traffic accidents. Statistical approaches that are applicable not just to Japan but to other countries as well also need to be developed.
Materials and Methods: The occurrence of traffic accidents in Tokyo from 2010–2014 was studied based on a report from the Tokyo Metropolitan Police Department, and specific aspects of those accidents were examined. Those findings indicated important measures to prevent future traffic accidents in Tokyo. In addition, the use of this methodology in a study of traffic accidents in Kazakhstan and the use of the current findings to devise measures to prevent traffic accidents in that country have also been described.
Results and Conclusion: Over the 5 years studied, there were 233,144 traffic accidents in total. By day of the week, accidents occurred most often on Friday and least often on Sunday. A comparison of traffic accidents by time on weekdays (Mon.–Fri.) and weekends (Sat. & Sun.) indicated that accidents on weekdays occurred most often from 8–10 AM, followed by 4–6 PM. Accidents on weekends occurred most often from 4–6 PM, followed by 2–4 PM, then 12–2 PM, and finally 10–12 AM. In light of these findings, further enhancing preventive measures on weekdays and weekends and examining times when accidents occur are key to educational efforts to further reduce traffic accidents. We plan to conduct a study to determine which measures will prove effective at preventing traffic accidents in Kazakhstan. The current methodology could be used to study traffic accidents in different countries, such as Kazakhstan.
Ken Inoue1, Masaharu Hoshi2, Haruo Takeshita3,
Yoshikazu Takinami4, Junko Fujihara3, Kaori Kimura-Kataoka3, Yoshihiro Noso5, Nobuo Takeichi6, Nailya Chaizhunusova7,
Nargul Ospanova8, Timur Moldagaliev8, Zhanat Sarsembina8,
Akerke Kalieva9, Ulzhan Jamedinova9, Sholpan Chegedekova9,
Alua Sharapiyeva9, Dina Bitebayeva9, Kulpash Kembayeva 7,
Tolebay K. Rakhypbekov10
1 Gunma University Graduate School of Medicine, Department of Public Health,
Gunma, Japan;
2 Hiroshima University, Hiroshima, Japan;
3 Shimane University, Department of Legal Medicine, Faculty of Medicine, Shimane, Japan;
4 Shimane University, Department of Emergency and Critical Care Medicine, Faculty of Medicine, Shimane, Japan;
5 Shimane University, Department of General Medicine, Faculty of Medicine, Shimane, Japan;
6 Takeichi Clinic, Hiroshima, Japan;
7 Semey State Medical University, Department of Nutrition and Hygienic disciplines, Semey, Kazakhstan
8 Semey State Medical University, Department of Neurology, psychiatry and infectious diseases, Semey, Kazakhstan
9 Semey State Medical University, Department of Public Health, Semey, Kazakhstan
10 Semey State Medical University, Semey, Kazakhstan
http://www.e-stat.go.jp. Last accessed 24 November, 2015.
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Иное К., Хоши М., Такешита Х., Такинами Й., Фуджихара Дж., Кимура-Катаока К., Носо Й., Такейчи Н., Чайжунусова Н., Оспанова Н., Молдагалиев Т., Сарсембина Ж., Калиева А., Джамединова У., Чегедекова Ш., Шарапиева А., Битебаева Д., Кембаева К., Рахыпбеков Т.К. Статистический анализ дорожно-транспортных происшествий по времени и дню недели: методология исследования в Токио будет служить проектом для будущего исследования в Казахстане / / Наука и Здравоохранение. 2016. №4. С. 38-44. Inoue K., Hoshi M., Takeshita H., Takinami Y., Fujihara J., Kimura-Kataoka K., Noso Y., Takeichi N., Chaizhunusova N., Ospanova N., Moldagaliev T., Sarsembina Zh., Kalieva A., Jamedinova U., Chegedekova Sh., Sharapiyeva A., Bitebayeva D., Kembayeva K., Rakhypbekov T.K. A statistical analysis of traffic accidents by time and day of the week: the methodology for this study in Tokyo will serve as a blueprint for a future study in Kazakhstan. Nauka i Zdravookhranenie [Science & Healthcare]. 2016, 4, pp. 38-44. Иное К., Хоши М., Такешита Х., Такинами Й., Фуджихара Дж., Кимура-Катаока К., Носо Й., Такейчи Н., Чайжунусова Н., Оспанова Н., Молдагалиев Т., Сарсембина Ж., Калиева А., Джамединова У., Чегедекова Ш., Шарапиева А., Битебаева Д., Кембаева К., Рахыпбеков Т.К. Уақыты және апта күні бойынша жол-көлік апаттарының статистикалық талдауы: осы Токиодағы зерттеу үшін Қазақстандағы болашақ зерттеулер үшін жоба болатын методология / / Ғылым және Денсаулық сақтау. 2016. №4. Б. 38-44.Похожие публикации:
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