Temporal analysis of the frequency of accidents associated with construction equipment

Hyunho Jung, Boseok Choi, Sanghyeok Kang, Youngcheol Kang

Research output: Contribution to journalArticlepeer-review


This study performs a temporal investigation of construction equipment-related accidents (CEAs). Accidents associated with the use of construction equipment are among the leading cause of fatal injuries in the construction industry. Although there are several studies on accidents, there are relatively few in-depth temporal analyses on the frequency of accidents. Using Occupational Safety and Health Administration (OSHA) accident data, we extracted information including equipment type, accident time, and accident cause. Using this information and the injury class highlighted in the OSHA dataset, the number of accidents as a function of time was determined and chi-square tests were performed. In addition, a series of interviews were conducted to qualitatively validate the results of the data analyses. It was found that the interval between 13:00 and 13:59 had the highest number of CEAs. Based on a chi-square test that divides time into four windows, it was found that the frequency of CEAs as a function of time is statistically significantly different. We also show the frequency of accidents based on time and equipment type, time and injury class, and time and accident cause. The results will contribute to the development of more sophisticated plans and guidelines to prevent accidents associated with the use of construction equipment.

Original languageEnglish
Article number105817
JournalSafety Science
Publication statusPublished - 2022 Sept

Bibliographical note

Funding Information:
This work was supported by a National Research Foundation of Korea grant funded by the Korean government (MSIT) ( NRF – 2021R1F1A1050519 ). This work was also supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20194010201850).

Publisher Copyright:
© 2022 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Public Health, Environmental and Occupational Health


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