Using High-Fidelity Physical Simulations of the Environment to Evaluate Risk Factors for Slips and Falls in the Mining Industry

Details

• Personal Author:
  Kocher L ; Nasarwanji, Mahiyar F. ; Pollard J
• Description:
  The shoe-floor interface is a key element in preventing slips and falls. The design of footwear and the floor surface should be considered to ensure worker safety. Testing various floor surface materials and boots in a real-world setting would impose unnecessary risk to participants and limit the extent of testing possible. Hence, two examples of high-fidelity physical simulation-an inclined grated metal walkway and a grated metal stairway-were built to evaluate risk factors for slips and falls associated with various walkway materials and boots with metatarsal guards. This paper discusses details and findings of the two studies. Also discussed are the advantages and disadvantages of using physical simulations of the environments, including decreased risk for participants and large space requirements for the experiment. Findings of the research can help select appropriate floor surface materials and boots for the mining industry and inform the use of future high-fidelity physical simulations. [Description provided by NIOSH]
• Subjects:
  Accidental Falls Accidents Environmental Exposure Mining Occupational Health Personal Protective Equipment Protective Clothing Risk Assessment Risk Factors Safety Software Staff Development Workplace

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• Keywords:
  Author Keywords: Boots Computer Software Exposure Levels Fall Foot Protection Footwear Hazards Inclined Walkway Miners Mine Workers Mining Industry Physical Simulation Risk Factors Safety Clothing Safety Engineering Safety Measures Simulation Methods Slip Slips, Trips, And Falls STF Surface Properties Training Work Environment Workers Worker Safety

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• Series:
  Mining Publications
• ISBN:
  9783319942223
• ISSN:
  2194-5357
• Publisher:
  Springer Verlag
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  373-381
• Volume:
  780
• NIOSHTIC Number:
  nn:20053130
• Citation:
  Advances in intelligent systems and computing: proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, July 21-25, 2018, Orlando, Florida, USA. Cassenti DN, ed. Cham, Switzerland: Springer Verlag, 2018 Jun; 780:373-381
• Contact Point Address:
  Mahiyar Nasarwanji, Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health (NIOSH), Pittsburgh, PA 15236
• Email:
  MNasarwanji@cdc.gov
• Editor(s):
  Cassenti DN
• Federal Fiscal Year:
  2018
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  Advances in intelligent systems and computing: proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, July 21-25, 2018, Orlando, Florida, USA
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:5e9ac4edac041f9a932df22415d7d43c432e3c9d9e34ff77747d9791ff5ead7a7dc081b4d2c056cce333edb5e1d76f3aec6733f6de1c84e149429c3d9059d176
• Download URL:
  https://stacks.cdc.gov/view/cdc/227744/cdc_227744_DS1.pdf
• File Type:
  [PDF - 1.65 MB ]