scholarly journals Classification of Polish voivodeships with regards to the accident rate in the construction industry

2018 ◽  
Vol 174 ◽  
pp. 04007 ◽  
Author(s):  
Tomasz Nowobilski ◽  
Irena Bagińska ◽  
Krzysztof Gawron
Keyword(s):  
Cluster Analysis ◽  
Construction Industry ◽  
Occupational Safety ◽  
Statistical Data ◽  
Occupational Accidents ◽  
Accident Rate ◽  
Central Statistical ◽  
Central Statistical Office ◽  
And Cluster Analysis

The article classifies Polish voivodeships into appropriate groups with a similar level of occupational safety in the construction industry. The basis for the adopted classification was statistical data published by the Central Statistical Office regarding population, employment in the construction industry, the value of construction production and the number of occupational accidents. The conducted research allowed a logical and correct, in terms of content, division of the Polish territory to be made, taking into account the aspect of occupational safety in the construction industry. Statistica software and cluster analysis were used to solve the problem.

scholarly journals Classification of Economic Regions with Regards to Selected Factors Characterizing the Construction Industry

2018 ◽  
Author(s):  
Bożena Hoła ◽  
Tomasz Nowobilski
Keyword(s):  
Construction Industry ◽  
Occupational Safety ◽  
Occupational Accidents ◽  
Industry Data ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Production Value ◽  
Economic Regions ◽  
Assembly Production

The article presents the methodology for classifying economic regions with regards to selected factors that characterize a region, such as: the economic structure of the region, and thus the share of individual sectors in the economy; employment; the dynamics of the development of individual sectors expressed as an increase or decrease in production value; the population density in the region and also the level of occupational safety. Cluster analysis, which is a method of multidimensional statistical analysis available in Statistica software, was used to solve the task. The proposed methodology was used to group Polish voivodships with regards to the speed of economic development and occupational safety in the construction industry. Data published by the Central Statistical Office was used for this purpose, such as the value of construction and assembly production, the number of people employed in the construction industry, the population of an individual region and the number of people injured in occupational accidents.

scholarly journals Prediction model of seasonality in the construction industry based on the accidentality phenomenon

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Bożena Hoła ◽  
Mariusz Topolski ◽  
Iwona Szer ◽  
Jacek Szer ◽  
Ewa Blazik-Borowa
Keyword(s):  
Construction Industry ◽  
Statistical Data ◽  
Occupational Accidents ◽  
Prediction Errors ◽  
Accident Rate ◽  
Seasonal Factors ◽  
Prophylactic Measures ◽  
The Given ◽  
Long Term Trend

AbstractThe construction industry is an economic sector that is characterized by seasonality. Seasonal factors affect the volume of production, which in turn affects the accident rate. The aim of the research presented in the article was to develop a model for predicting the number of people injured in occupational accidents in the construction industry. Based on the analysis of statistical data and previous studies, the occurrence of certain regularities of the accidentality phenomenon was found, namely the long-term trend over many years, as well as seasonality and cyclicality over the course of a year. The found regularities were the basis for the assumptions that were made for the construction of the model. A mathematical model was built in the non-linear regression dimension. The model was validated by comparing the results of prediction errors generated by the developed model with the results of prediction errors generated by other known models, such as ARIMA, SARIMA, linear and polynomial models, which take into account the seasonality of the phenomenon. The constructed model enables the number of people injured in accidents in the construction industry in selected months of future years to be predicted with high accuracy. The obtained results can be the basis for making appropriate decisions regarding preventive and prophylactic measures in the construction industry. Commonly known mathematical tools available in the STATISTICA package were used to solve the given task.

scholarly journals Calculation of the Population of Construction Scaffoldings Using Neural Networks

2021 ◽  
Vol 11 (17) ◽  
pp. 8211
Author(s):  
Tomasz Nowobilski
Keyword(s):  
Neural Networks ◽  
Construction Industry ◽  
Occupational Safety ◽  
Precise Determination ◽  
Main Element ◽  
Original Research ◽  
Qualitative Variables ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Economic Analyses

Building scaffoldings are temporary structures that are commonly used in the construction industry. A precise determination of the number of building scaffoldings in use is a very complex task. The literature survey showed that there is a lack of scientific studies concerning the estimation of the scaffolding population in the construction industry. This observation gave rise to the need to undertake such research, the aim of which was to develop a model of a neural network set which would in turn enable the number of used building scaffoldings to be estimated. In order to carry out such a research task, an original research methodology was developed, which used the results of empirical research that involved the counting of construction scaffoldings used in selected representative areas of the studied regions of Poland (the research was carried out in the period from 2016 to 2018), and also data taken from a publication of the Central Statistical Office on socio-economic indicators that characterize the analyzed regions (data from 2010 to 2018). The main element of the developed methodology is a set of five MLP neural networks, which was used to predict the number of used construction scaffoldings. The analysis of the sensitivity of the quantitative and qualitative variables of the model showed that they have a significant impact on the final result generated by the networks. The obtained results of the research and analyses showed the size of the population of building scaffoldings used in individual regions of Poland, and also the seasonality of their occurrence. The knowledge obtained on this basis can be used, among others, in economic analyses related to the use of construction scaffolding, as well as in the process of managing occupational safety on scaffoldings. The most important scientific aspect of the article concerns the development of an original methodology for estimating the population of building scaffoldings.

scholarly journals Analysis of the State of the Accident Rate in the Construction Industry in European Union Countries

2015 ◽  
Vol 61 (4) ◽  
pp. 19-34 ◽  
Author(s):  
B. Hoła ◽  
M. Szóstak
Keyword(s):  
European Union ◽  
Construction Industry ◽  
Statistical Data ◽  
The State ◽  
The European Union ◽  
Accident Rate ◽  
Analysis And Evaluation ◽  
European Union Countries

The article presents an analysis and evaluation of the accident rate in selected European Union countries. On the basis of available statistical data, the analysis of accidents in various sectors of the European Union economy was carried out. Afterwards, a ranking of countries regarding accidents in the construction industry was developed. For the selected representative countries, analysis of changes in the indicators which characterize the accident rate during the period between 2008 and 2012 was carried out. Conclusions resulting from the conducted research were formulated.

scholarly journals Deagrarianisation of the Economic Structure and the Evolution of Rural Settlement Patterns in Poland

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 523
Author(s):  
Andrzej Rosner ◽  
Monika Wesołowska
Keyword(s):  
Rural Areas ◽  
Settlement Patterns ◽  
Economic Structure ◽  
Rural Settlement ◽  
Spatial Effects ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Second World

Since the Second World War, Poland has been undergoing an intensive process of transformation of the economic structure of rural areas, manifested, among other things, in the change in the occupational make-up of its inhabitants. The development of non-agricultural methods of management in rural areas has led to the emergence of multifunctional rural areas, where the role of agriculture as a source of income for the inhabitants is decreasing. There is a process of deagrarianisation of the economic structure, which has been indicated by many researchers as an unavoidable process, connected with the changes taking place in rural areas. One of the effects of this process are changes in rural settlement patterns. The aim of this article is to present the spatial effects of the deagrarianisation process in the Polish countryside, expressed in the changes in the rural settlement network. The authors used the statistical database of the Central Statistical Office (over 41 thousand records) to draw up the classification of rural areas by the nature of changes in population numbers in the period 1950–2011, which was compared with the research carried out as part of the Monitoring of Rural Development in Poland. The study confirmed that the factor behind the evolution of the rural settlement network is the process of decreasing agricultural demand for labour. As a consequence, there is a polarisation of localities into multifunctional rural localities, mainly headquarter villages and local government offices, and those with a predominantly agricultural function. On a supra-local scale, a process of polarisation of rural areas between a growing suburban population and a reducing peripheral location around large and medium-sized towns has been observed.

scholarly journals Achieving the best method to classify Eosinophilic Chronic Rhinosinusitis: a systematic review

2021 ◽  
Vol 59 (4) ◽  
pp. 330-339
Author(s):  
M.D.C. Toro ◽  
M.A. Antonio ◽  
M.G. Alves Dos Reis ◽  
M.S. de Assumpcao ◽  
E. Sakano
Keyword(s):  
Cluster Analysis ◽  
Chronic Rhinosinusitis ◽  
High Power Field ◽  
Eosinophilic Chronic Rhinosinusitis ◽  
Multiple Biopsy ◽  
Quality Of Life Index ◽  
Field Methodology ◽  
Polyp Recurrence ◽  
And Cluster Analysis

Background: Chronic Rhinosinusitis is currently classified into eosinophilic and non-eosinophilic, according to the histologic quantification of the number of eosinophils in nasal mucosa biopsy. There is a lack of unanimous histopathologic criteria and methodology for this classification and no consensus regarding a cut-off point for Eosinophils per High power field. Methodology: A systematic electronic search was performed on BVS, PUBMED, PUBMED PMC, SCOPUS, WEB OF SCIENCE, EMBASE, COCHRANE and PROQUEST databases looking for studies that reported a cut point for classification of Eosinophilic Chronic Rhinosinusitis (eCRS), and data concerning methodology of classification was extracted. Results: We identified 142 studies that reported 29 different cut-off values for classification of eCRS, and different methods of histologic analysis. Out of these studies 13 reported their own methodology to establish the cut-off point, and used different reference standards as polyp recurrence, asthma and allergy, immunocytochemistry, quality of life index, standard deviation of the control population and cluster analysis. Conclusions: Further studies are needed to determine a precise cut-off point, especially international multicentered cluster analysis. Moreover, methodologic standardization of biopsy and analysis is needed to certify comparable results. Multiple biopsy sites, densest cellular infiltration area examination and oral steroids restriction at least four weeks before sampling are advisable.

scholarly journals An Unexplored Phenomenon on the Border of Two Worlds. An Introduction to the Issue of Museum Libraries in Poland

2019 ◽  
pp. 50-64
Author(s):  
Katarzyna Žák-Caplot
Keyword(s):  
21St Century ◽  
Statistical Data ◽  
Sources Of Information ◽  
Library System ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Subject ◽  
National Libraries

Objective – The article discusses the main concepts and sources of information about museum libraries in Poland, moving towards their definition and place in the native library system. It is an opportunity to reflect on how museum libraries operate on the border of the “museum” and “library” worlds. Method – the subject literature, surveys and statistical reports of the Central Statistical Office (Główny Urząd Statystyczny – GUS) and the National Institute for Museums and Public Collections (Narodowy Instytut Muzealnictwa i Ochrony Zbiorów – NIMOZ) were reviewed, as well as the organizational regulations of selected museums and websites of some museum libraries in Poland. The Act on Libraries of June 27, 1997 was analysed with regard to the division of national libraries into types. The material was analysed to try to place museum libraries within the context of the abovementioned division. Conclusions – It is difficult to study a museum library whilst applying only the set of concepts known to librarians. There is also a lack of relevant statistical data. Due to the fact that museum libraries are rooted primarily in the institution of the museum and have therefore an obligation to achieve its goals and mission, as well as to trends in the development of Polish museology, 21st century museum libraries have gone beyond the scope of professional libraries within the meaning of the Act on Libraries of June 27, 1997.

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