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

Hoła, Bożena; Nowobilski, Tomasz

doi:10.3390/su10051637

Cited by 14 publications

(10 citation statements)

References 15 publications

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“…The method of hierarchical cluster analysis, and also the agglomeration technique of grouping and binding objects using the Ward method [17], which results in the dendrogram, is proposed in order to determine the number of clusters. Depending on the location of cutting off the branch of the dendrogram, a variable number of clusters is obtained [18,19,20]. According to [14], the cut-off location can be determined using various methods, including the Mojena rule [21].…”

Section: Fig 1 Scheme Of Research Methodologymentioning

confidence: 99%

The Qualitative and Quantitative Structure of the Causes of Occupational Accidents on Construction Scaffolding

Nowobilski

Hoła

2019

Archives of Civil Engineering

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The article presents the results of research, the aim of which was to determine the qualitative and quantitative structure of the causes of accidents that were a result of falling from scaffolding. An original methodology for the classification of accidents with regards to their causes was developed and was based on cluster analysis. An example of using the proposed methodology is provided. 187 post-accident protocols of occupational accidents involving construction scaffolding, which occurred between 2010 and 2017 in selected Polish voivodeships, were analyzed. Afterwards, the matrix of accident causes, for which the calculations were made, was created. Five subsets of accidents were obtained and the accidents were classified to a subset with similar causes.

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Section: Fig 1 Scheme Of Research Methodologymentioning

confidence: 99%

The Qualitative and Quantitative Structure of the Causes of Occupational Accidents on Construction Scaffolding

Nowobilski

Hoła

2019

Archives of Civil Engineering

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“…Based on the authors' previous research [34,35], it was found that the basic factors that characterize construction activity are: the value of construction production, the potential of construction enterprises, the generic structure of business entities, employment and its volatility, and also occupational safety. Each of the above-mentioned factors is characterized by a number of sub-factors, which describe in detail the examined aspect.…”

Section: Proposed Research Methodologymentioning

confidence: 99%

“…The authors used the proposed methodology in order to develop a mathematical linear regression model that describes the accidentality phenomenon in four Polish voivodships: Dolnośląskie, Pomorskie, Małopolskie and Wielkopolskie. The basis for the selection of the above voivodships were the results of the research published in paper [34], which showed that these voivodships are similar in terms of the pace of development and the level of occupational safety in construction.…”

Section: Multifactor Mathematical Model Of the Accidentality Phenomenmentioning

confidence: 99%

Analysis of the Influence of Socio-Economic Factors on Occupational Safety in the Construction Industry

Hoła

Nowobilski

2019

Sustainability

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The purpose of the article was to identify the socio-economic factors generated in a construction environment, which affect the number of accidents at a construction site. Moreover, the objective was to construct a mathematical model that correlates selected factors with the number of employees injured in accidents at work at a construction site, and also to estimate the influence of the identified factors on the level of occupational safety. Based on the analysis of the literature, it was stated that there are no studies describing the impact of socio-economic factors on accident rates in construction. The research included 104 factors that characterize the production value, the potential of enterprises, the generic structure of entities, and also employment and its volatility in the construction industry. In order to solve the problem, multiple regression analysis, available in the Statistica software, was applied. The developed mathematical multifactor model reflects empirical values very well, which was confirmed by the values of multiple correlation coefficients, the coefficient of determination, the adjusted coefficient of determination, as well as the mean square error and root mean square error. The construction of the model does not include qualitative factors, e.g., factors that describe the level of safety culture in the society. The developed model was used to determine the number of people injured in accidents at work. The model has certain limitations regarding its applicability. The model was developed for four selected Polish voivodeships that have a similar level of economic development and occupational safety.

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“…Especially when involving too many regions, assessment results based on the method are deficient for the government to further explore the characteristics of different regions. Compared to the sorting method, the classifying method is another widely-used assessment technique that seeks to map accident elements into homogeneous clusters (Depaire, Wets, & Vanhoof, 2008;Hola & Nowobilski, 2018). Through the clustering analysis, some significant features of original data can be identified and mined in depth (Fahad et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Assessment Model on Accident Situations of the Construction Industry in China: A Macro-Level Perspective

Shao

Tong

et al. 2019

Journal of Civil Engineering and Management

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As one of the most high-risk sections, the construction industry has traditionally been the research hotspot. Yet little attention has been paid to macro-level accident situations of the entire industry. Therefore, this study develops a comprehensive assessment model on accident situations of Chinese building industry, aiming at assisting the government to better understand and improve accident situations of the entire industry. Based on China conditions, six indicators related to accident situations are firstly selected to establish an indicator system; then structure entropy weight method is proposed to determine indicator weighs, with dynamic classification method to explore the characteristics of accident situations. The results demonstrate that the provinces with poor accident situations account for 53% of all provinces, and they are mainly distributed in the central and western regions of China where there exist the underdeveloped economy. Meanwhile, some provinces experience poor accident situations that could be out-of-control, especially for Hebei. Provinces in the southeastern and northeastern regions of China perform relatively well, but they still have much improvement room for accident situations. The findings validate the rationality of the developed model and can provide valuable insights of safety regulation strategies for the government from the macro-level perspective.

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

Cited by 14 publications

References 15 publications

The Qualitative and Quantitative Structure of the Causes of Occupational Accidents on Construction Scaffolding

The Qualitative and Quantitative Structure of the Causes of Occupational Accidents on Construction Scaffolding

Analysis of the Influence of Socio-Economic Factors on Occupational Safety in the Construction Industry

Comprehensive Assessment Model on Accident Situations of the Construction Industry in China: A Macro-Level Perspective

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