Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Predicting the outcome of construction incidents
Date
2019-03-01
Author
Ayhan, Bilal Umut
Tokdemir, Onur Behzat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
247
views
0
downloads
Cite This
Ensuring the Occupational Health and Safety (OHS) is the utmost essential issue for all construction projects. The problem with the construction industry is that even though there is a significant emphasis on safety requirements, for most of the contractors unless requested by the client or enforced by law, there is a tendency to undermine safety management to save money especially in the case of competitive bidding including incident collection systems. The objective of this study is to develop a model to predict incidents at construction sites and propose an effective mechanism to prevent incidents utilizing data through incident collection systems. This research consists of three steps as collection and categorization of data, development of prediction models, and selection of the most appropriate method for prediction of construction incidents. In the first step, real data about construction incidents were categorized with the help of experts using the Delphi method. In the second step, both conventional and artificial intelligence techniques were used to predict the outcome of construction incidents. The prediction step can predict the 84% of the incident outcome within 90% confidence. In the final step, fuzzy sets were introduced to tackle the vagueness of prediction output, and the process was finalized with improvements in the prediction results. Ultimately, it is argued that if a construction site has a mechanism in place to record the incidents as proposed in this study, problematic areas can be detected, and preventive actions can be taken.
Subject Keywords
Public Health, Environmental and Occupational Health
,
Safety Research
,
Safety, Risk, Reliability and Quality
URI
https://hdl.handle.net/11511/40731
Journal
SAFETY SCIENCE
DOI
https://doi.org/10.1016/j.ssci.2018.11.001
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Relationship between lean manufacturing and occupational health and safety in the aerospace industry in Turkey
Karstarlı Sevim, Rana; Parlaktuna, Mahmut; Department of Occupational Health and Safety (2023-1-27)
Occupational health and safety is a concept that is very important in every industry branch around the world. The primary purpose of the occupational health and safety philosophy is to prevent possible accidents, loss of life, and property by creating a safe work environment for employees. Lean manufacturing emerged in Japan as a result of the raw material crisis after the Second World War. Still, it started to be used worldwide in a short time due to its contribution to the production processes. The main p...
Assessment and management of roof fall risks in underground coal mines
Düzgün, Hafize Şebnem; Einstein, HH (Elsevier BV, 2004-01-01)
Accidents caused by roof falls are commonly faced problems of underground coal mines. These accidents may have detrimental effects on workers in the form of injury, disability or fatality as well as mining company due to downtimes, interruptions in the mining operations, equipment breakdowns, etc. This study proposes a risk and decision analysis methodology for the assessment and management of risk associated with mine roof falls in underground coal mines. In the proposed methodology, risk assessment requir...
Safety assessment in megaprojects using artificial intelligence
Ayhan, Bilal Umut; Tokdemir, Onur Behzat (Elsevier BV, 2019-10-01)
Record keeping systems are gaining more importance in addressing safety problems in megaprojects. The information recorded is being converted into large data domains since it has become necessary to examine problems down to the last detail to deal with them properly. Due to a high number of attributes and the type of information, the data has a high level of heterogeneity. The aim of this paper is to propose an innovative safety assessment methodology to predict the possible scenarios and determine preventa...
Safety risk assessment using analytic hierarchy process (AHP) during planning and budgeting of construction projects
Aminbakhsh, Saman; Gunduz, Murat; Sönmez, Rifat (Elsevier BV, 2013-09-01)
Introduction: The inherent and unique risks on construction projects quite often present key challenges to contractors. Health and safety risks are among the most significant risks in construction projects since the construction industry is characterized by a relatively high injury and death rate compared to other industries. In construction project management, safety risk assessment is an important step toward identifying potential hazards and evaluating the risks associated with the hazards. Adequate prio...
Detecting falls-from-height with wearable sensors and reducing consequences of occupational fall accidents leveraging IoT
DOGAN, ONUR; Akçamete Güngör, Aslı (2018-10-04)
Labor intensive and hazardous nature of the construction activities plays an important role on the increase of the amount of accidents and fatalities on sites. One of the most important sources of fatalities occurring on construction sites is falls-from-height (FFH). Despite the various efforts for the solution over decades, the yearly statistics still indicate high amount of fatalities and severe injuries due to FFH accidents on construction sites. Medical literature emphasize that the time passed after th...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. U. Ayhan and O. B. Tokdemir, “Predicting the outcome of construction incidents,”
SAFETY SCIENCE
, pp. 91–104, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40731.