Please use this identifier to cite or link to this item: http://repositsc.nuczu.edu.ua/handle/123456789/13345
Title: Investigation of the causes of emergencies based on official
Other Titles: ДОСЛІДЖЕННЯ ПРИЧИН ВИНИКНЕННЯ НАДЗВИЧАЙНИХ СИТУАЦІЙ НА ОСНОВІ ДАНИХ ОФІЦІЙНОЇ СТАТИСТИКИ
Authors: Коваленко, Роман Іванович
Калиновський, Андрій Якович
Журавський, Максим Миколайович
Кащавцева, Валерія Олексіївна
Keywords: emergency
fire
statistical data
correlation
predictive model
Issue Date: 2021
Publisher: National University of Civil Defence of Ukraine
Citation: http://pes.nuczu.edu.ua/en/arkhiv-nomeriv-2/121-33-en
Series/Report no.: Problems of Emergency Situations. 2021. № 1(33);
Abstract: The article examines the relationship between the official indicators of demographic, social and economic statistics and the number of emergencies that occur on the territory of the regions of Ukraine. The following were selected as indicators of demographic, social and economic statistics: population size; education and waste management; total area of the housing stock; sown area of grain and leguminous crops; real disposable income, as a percentage of the corresponding period of the previous year. The relationship between these indicators was checked by conducting a correlation analysis. In 56% of the studied cases between the total number of emergencies and the indicator of the population living in the territory of the regions, and in the city of Kiev, there is an average and high strength of the correlation. Between the other indicators of demographic, social and economic statistics analyzed in the work and the total number of emergencies, there were significantly fewer cases of detection of medium and high strength of correlations. The reason for obtaining negative values of the correlation coefficients between the total number of emergencies and the indicator of generation and waste management is not clear. At the same time, the numerical value of the correlation coefficients makes it possible to assert about the average and high strength of correlations. This is likely due to the small sample size. The established relationship between the indicators of the total number of emergencies and the population size was described by a linear regression equation. The adequacy of the regression model was checked by Fisher's criterion, and provides a correlation coefficient of at least 0,7, which confirms the reliability of the developed mathematical model.
URI: http://repositsc.nuczu.edu.ua/handle/123456789/13345
ISSN: 2524-0226
Appears in Collections:Інженерної та аварійно-рятувальної техніки

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