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Non-linear modelling of construction workers' behaviorsfor accident prediction |
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| รหัสดีโอไอ | |
| Creator | 1. Nart Sooksil 2. Vacharapoom Benjaoran |
| Title | Non-linear modelling of construction workers' behaviorsfor accident prediction |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2564 |
| Journal Title | Songklanakarin Journal of Science and Technology (SJST) |
| Journal Vol. | 43 |
| Journal No. | 2 |
| Page no. | 596-602 |
| Keyword | artificial neural network, capability, cognitive engineering, construction safety, logistic regression, task demand, workers' behaviors |
| URL Website | https://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | The cognitive engineering principle suggests that the unsafe behaviors of construction workers are associated withnumerous attributes, and 23 task demands and 12 capability attributes have been proposed in the construction worker's behaviormodel (CWBM). Two models utilizing Logistic Regression (LR) and Artificial Neural Networks (ANN) were developed asaccident prediction models, and the forecasting efficiencies of these two models were investigated. Robustness of these modelswas proven by verification. The results provide a basis for designing an in-depth study on the cognitive attributes influencingworkers' behaviors and expanding the choice of analysis techniques. |
