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مقالات فارسیISIکنفرانسهاژورنالها

Accident Modeling in Small-scale Construction Projects Based on Artificial Neural Networks

محل انتشار: مجله انسان، محیط زیست و ارتقاء سلامت، دوره: 5، شماره: 3
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 361

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استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:
https://civilica.com/doc/1600966

شناسه ملی سند علمی:

JR_JHEHP-5-3_005

تاریخ نمایه سازی: 21 بهمن 1401

چکیده مقاله:

Background: Several factors contribute to accidents in small-scale construction projects (SSCPs). The present study aimed to assess the influential factors in SSCP accidents and introduce a model to predict their frequency. Methods: In total, ۳۸ SSCPs were within the scope of this investigation. The safety index of accident frequency rate (AFR) causing ۴۵۲ injury construction accidents during ۱۲ years (۲۰۰۷-۲۰۱۸) was analyzed and modeled. Data analysis was performed based on feature selection using Pearson's χ۲ coefficient and SPSS modeler, as well as the artificial neural networks (ANNs) in MATLAB software. Results: Mean AFR was estimated at ۲۶.۳۲ ± ۱۴.۸۳, and the results of both approaches revealed that individual factors, organizational factors, training factors, and risk management-related factors could predict the AFR involved in SSCPs. Conclusion: The findings of this research could be reliably applied in the decision-making regarding safety and health construction issues. Furthermore, Pearson's correlation-coefficient and ANN modeling are considered to be reliable tools for accident modeling in SSCPs.

کلیدواژه ها:

Construction Projects ، Accident ، Modeling

نویسندگان

Behrouz Alizadeh Savareh

Department of Medical Informatics, School of Management and Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohsen Mahdinia

Department of Occupational Safety & Health Engineering, Health School and Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran.

Samira Ghiyasi

Department of Environmental Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Jamshid Rahimi

Department of Occupational Safety & Health Engineering, Health School, Alborz University of Medical Sciences, Karaj, Iran.

Ahmad Soltanzadeh

Department of Occupational Safety & Health Engineering, Health School and Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran.

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  • Sari M, Selcuk AS, Karpuz C, Duzgun HS. Stochastic Modeling ...
  • Venkataraman N. Safety Performance Factor. Int J Occup Saf Ergon, ...
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  • Chong HY, Low TS. Accidents in Malaysian Construction Industry: Statistical ...
  • Mitropoulos P, Abdelhamid TS, Howell GA. Systems Model of Construction ...
  • Moghaddam FR, Afandizadeh S, Ziyadi M. Prediction of Accident Severity ...
  • OSHA. Safety and Health Managment System eTool. OSHA. ۲۰۱۲ ...
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