Russia's 1993 fire statistics

Brushlinsky, N. N.; Kolomiets, Yu. I.; Korobko, V. B.; Соколов, С. В.

doi:10.1007/bf01039944

Cited by 36 publications

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“…The difficulty can be in finding fire statistics as a factor value, since the international journal CTIF [11] publishes its statistical reports with a delay of two years. For example, if we make a forecast for Ukraine for 2018 at the end of 2017, we need fire statistics for 2016, yet it may not be correct, as it will be published in the magazine in 2018.…”

Section: Resultsmentioning

confidence: 99%

“…Time series of the values of four variables were considered (density of fires, population density, GDP per capita density, GDP in general density) for each of the countries for which there are sufficiently complete statistics of CTIF reports for all 13 years of statistical periods [11]. Unfortunately, those are few: Russia, Ukraine, Estonia, the USA, Latvia and France.…”

Section: Resultsmentioning

confidence: 99%

“…The research is based on statistical data by the Centre for Fire Statistics of the International Association of Fire and Rescue Services (CTIF) for 2003-2015 [11], while GDP values are taken from the online resource [12].…”

Section: Resultsmentioning

confidence: 99%

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Fire risk assessment in light of socio-economic factors

KYRYLAKHA¹,

Chernenko²

2017

EA-XXI

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AbsractIntroduction. The analysis of fire statistics is one of the most important tasks in making managerial decisions by the State Fire Service. Ensuring fire safety in the state is a vital factor in adequate prediction of the number of fires. Therefore, the problem of qualitative mathematical modelling of fire statistics arises. The purpose of this article is the construction of adequate econometric models to forecast the number of fires in the different countries of the world. Results. Based on the latest statistics provided by the Centre for Fire Statistics of the International Association of Fire and Rescue Services (CTIF) for 2003-2015, the authors of the article conducted a multivariate analysis of variance analysis and examined the key factors affecting the number of fires worldwide, such as population size, the country's territory and gross domestic product (GDP) per capita. The use of cluster analysis has made it possible to distinguish five groups of countries that have similar risk factors for fire. With regard to the examined factors, the authors propose time series models with a distributed lag for two countries, Ukraine and France, and forecasted future values for the number of fires. Conclusions. The factors affecting the number of fires in the country can be divided into two groups: objective (territory, natural and climatic conditions) and socio-economic (to reveal their impact, it is necessary to analyse such indicators as density of fires, population density and GDP per capita). Analysing the worked out models which include socio-economic and objective factors, we can conclude that for Ukraine and France the influence of social and economic factors differs. For Ukraine, the low population density factor is positive, i.e. it contributes to lowering the density of fires. For France, the situation is the opposite. The density of GDP per capita, by contrast, greatly contributes to reducing the density of fire cases in France, however in Ukraine its effect is manifested in a negative way. Keywords: World Fire Statistics; ANOVA; Fire Risk; Fire Case; GDP; Cluster Analysis; Model Distributed Lag; Forecast; France; Ukraine JEL Classification: С32; C38; С51 DOI: https://doi.org/10.21003/ea.V166-07 Кирилаха Н. Г. кандидат фiзико-математичних наук, доцент, кафедра iнформатики та вищої математики, Кременчуцький нацiональний унiверситет iменi Михайла Остроградського, Кременчук, Україна Черненко В. П. кандидат фiзико-математичних наук, доцент, кафедра iнформатики та вищої математики, Кременчуцький нацiональний унiверситет iменi Михайла Остроградського, Кременчук, Україна Оцінювання стану пожежної небезпеки країни з урахуванням соціально-економічних факторів Анотацiя На підставі статистичних даних Центру пожежної статистики Міжнародної асоціації пожежно-рятувальних служб (CTIF) за 2003-2015 рр. виявлено чинники, що впливають на число пожеж у країнах світу. Виділено групи країн, схожих за дією факторів пожежної небезпеки. Для України та Франції побудовано моделі розподіленого лага для числа пожеж. Проведено ...

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Fire risk assessment in light of socio-economic factors

KYRYLAKHA¹,

Chernenko²

2017

EA-XXI

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“…Fire is a ubiquitous natural disturbance that affects 3%-4% of the Earth's surface each year. With the number of people living within cities projected to rise to five billion people by 2030, it is important that efficient urban planning and management practices are in place to deal with the challenges brought by urbanization [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

An Approach for the Analysis of the Accessibility of Fire Hydrants in Urban Territories

Raškauskaitė

2019

IJGI

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Globally, fire causes considerable losses that can be alleviated by taking appropriate actions facilitated by systems supported by geo-information technologies. This research focuses upon the development of an approach for planning urban infrastructures, and particularly in the accessibility of fire hydrants. Accessibility of fire hydrants’ infrastructure in urban territories is one of the key elements in fire risk management and public safety. The main result of the research is a comprehensive and structured Geographic Information Systems (GISs)-based dataset for the fast and more efficient planning of fire hydrants in urban territories. The proposed framework for data collection and processing was used to determine the distribution of hydrants, location of fire brigade stations and areas and to demonstrate the capabilities of the existing municipal fire extinguishing systems in Vilnius City, Lithuania. Later on, research on fire hydrants’ accessibility, analysis of the location of protected and unprotected urban territories and marking of unprotected buildings, was carried out. The resulting map of unprotected urban territories can be of great benefit for understanding fire risks and offering more effective ways for fire risk management.

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“…But it has been noticed with great concern that the fire accidents and casualties are also increasing proportionally every year. According to the yearly report, 2018 of International Association of Fire and Rescue Services average number of fires (2012 to 2016) only in USA is 1320100 per year [1]. According to Bangladesh Fire Service and Civil Defense, fire incidents kill 233 people and injure 5000 every year in Bangladesh.…”

Section: Introductionmentioning

confidence: 99%

Development and Performance Evaluation of a Novel Fire Detection and Extinguishing system: Towards Industrial Automation

Reza¹,

Mamun²

2018

Preprint

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Fire accidents are causing a huge human death as well as economic losses throughout the world every year. But a novel fire detection and extinguishing system could reduce these losses to a great extent. We are proposing a cost effective and yet very efficient system which has been developed in our laboratory and evaluated while in operation. Our system consists of two units: detection unit and extinguishing unit. For detection purposes we used smoke, IR and temperature sensors. While for extinguishing purposes we used both foam and water. We used a PC to process and control our system through LabVIEW software of National Instrument, USA. The detection unit will send signal through a wireless module to PC if fire is detected. Then PC (LabVIEW) will process the signal and using relay module first of all the electric power and gas lines will be turned off. The extinguishing unit will then release foam or water to extinguish the fire. The system will send SMS to the predefined numbers using GSM module. Our system is location independent as it uses GSM and can be operated from remote location using wireless module. After performance evaluation it was found to be fast and reliable.

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Russia's 1993 fire statistics

Cited by 36 publications

References 0 publications

Fire risk assessment in light of socio-economic factors

Fire risk assessment in light of socio-economic factors

An Approach for the Analysis of the Accessibility of Fire Hydrants in Urban Territories

Development and Performance Evaluation of a Novel Fire Detection and Extinguishing system: Towards Industrial Automation

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