Construction equipment and motor vehicle related injuries on construction sites in Turkey


Guercanli G. E., Muengen U., Akad M.

INDUSTRIAL HEALTH, cilt.46, sa.4, ss.375-388, 2008 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 4
  • Basım Tarihi: 2008
  • Doi Numarası: 10.2486/indhealth.46.375
  • Dergi Adı: INDUSTRIAL HEALTH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.375-388
  • İstanbul Üniversitesi Adresli: Evet

Özet

Research on occupational accidents on construction sites in Turkey is very few. Moreover, research on motor vehicle and equipment accidents also do not exist. Investigation in the scope of this study shows that after falls and contact with electricity, accidents involving heavy equipment and motor vehicles rank third and fourth, respectively. This study aims to reveal the characteristics of these types of accidents, deduct the prominent causes that lead to fatalities as well as permanent disabilities using the present data. With the aid of obtained results, recommendations are made for safety experts on how to derive data from insufficient sources in Turkey and to evaluate these data for prevention and mitigation of the risks that construction workers are exposed to. 168 fatal and 38 non-fatal traffic accident-caused incidents as well as 206 fatal and 97 non-fatal construction equipment accidents, which were selected from official statistics and expert reports, were taken into consideration. Analysis and classification of these accidents were done according to the way they happened, the type of construction site and the occupation of the victims. Moreover, the leading causes of fatal and non-fatal injuries, to which drivers, operators and co-operators are exposed, are presented. Critical findings concerning prominent ways of occurrence, type of construction work and occupation are presented; and a number of measures for reducing the present risks are suggested. Some approaches for analysing relevant data are proposed for further research.