Evaluation of occupational accidents in forestry in Europe and Turkey by k-means clustering analysis

被引:7
|
作者
Akay, Anil Orhan [1 ]
Akgul, Mustafa [1 ]
Esin, Abdullah Ilker [2 ]
Demir, Murat [1 ]
Senturk, Necmettin [1 ]
Ozturk, Tolga [1 ]
机构
[1] Istanbul Univ Cerrahpasa, Dept Forest Construct & Transportat, Fac Forestry, Istanbul, Turkey
[2] Istanbul Univ Cerrahpasa, Vocat Sch Forestry, Istanbul, Turkey
关键词
Work safety; cluster analysis; accident incidence rate; forestry and logging; FATAL ACCIDENTS; NEW-ZEALAND; WORK; CLASSIFICATION; SAFETY;
D O I
10.3906/tar-2010-55
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The incidence rate of occupational accidents is an important indicator of occupational safety performance. The aim of this study was to classify the similarities and differences among 23 European Union (EU) countries along with Turkey in terms of various occupational accident evaluation criteria. This was achieved using the k-means clustering method on data from the forestry and logging sector between 2008 and 2017. The occupational accident assessment criteria used in the study include the nonfatal male accident incidence rate, the nonfatal female accident incidence rate, the total (male + female) nonfatal accident incidence rate, and the total (male i female) fatal accident incidence rate. According to the clustering analysis, three clusters were obtained, and Turkey was included in Cluster 2. By evaluating the final cluster center values and the descriptive statistical values in the clusters, it was found that the occupational accident incidence values of the countries in Cluster 2 were in all four categories below the averages of the other two other clusters as well as the 23 EU countries and Turkey considered together. Cluster 1 was above all of the other clusters as well as all the countries considered together in the total nonfatal occupational accident category, and Cluster 3 in the fatal occupational accident category. Studies similar to this one but on an intercontinental basis would provide a good foundation for improving work health and safety legislation in forestry and logging on a global scale.
引用
收藏
页码:495 / 509
页数:15
相关论文
共 50 条
  • [1] Workplace Accidents Analysis with a Coupled Clustering Methods: SOM and K-means Algorithms
    Comberti, Lorenzo
    Baldissone, Gabriele
    Demichela, Micaela
    [J]. ICHEAP12: 12TH INTERNATIONAL CONFERENCE ON CHEMICAL & PROCESS ENGINEERING, 2015, 43 : 1261 - 1266
  • [2] Stability analysis in K-means clustering
    Steinley, Douglas
    [J]. BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 2008, 61 : 255 - 273
  • [3] Empirical Evaluation of K-Means, Bisecting K-Means, Fuzzy C-Means and Genetic K-Means Clustering Algorithms
    Banerjee, Shreya
    Choudhary, Ankit
    Pal, Somnath
    [J]. 2015 IEEE INTERNATIONAL WIE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE), 2015, : 172 - 176
  • [4] Data Analysis of Educational Evaluation Using K-Means Clustering Method
    Liu, Rui
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [5] Research on k-means Clustering Algorithm An Improved k-means Clustering Algorithm
    Shi Na
    Liu Xumin
    Guan Yong
    [J]. 2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010), 2010, : 63 - 67
  • [6] K-means clustering analysis and evaluation for internet of acoustic environment characteristics
    Ji, Xianrong
    Lu, Fenghua
    [J]. COGNITIVE SYSTEMS RESEARCH, 2018, 52 : 603 - 609
  • [7] Evaluation of occupational accidents in forestry in terms of incidence, frequency, and severity rates in Turkey
    Akay, Anil Orhan
    Akgul, Mustafa
    Esin, Abdullah Ilker
    Senturk, Necmettin
    [J]. INTERNATIONAL JOURNAL OF FOREST ENGINEERING, 2023, 34 (01) : 26 - 34
  • [8] Application of ant K-means on clustering analysis
    Kuo, RJ
    Wang, HS
    Hu, TL
    Chou, SH
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2005, 50 (10-12) : 1709 - 1724
  • [9] Crime Analysis using k-means Clustering
    Joshi, Anant
    Sabitha, A. Sai
    Choudhury, Tanupriya
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NETWORKS (CINE), 2017, : 33 - 39
  • [10] K-Means Cloning: Adaptive Spherical K-Means Clustering
    Hedar, Abdel-Rahman
    Ibrahim, Abdel-Monem M.
    Abdel-Hakim, Alaa E.
    Sewisy, Adel A.
    [J]. ALGORITHMS, 2018, 11 (10):