A tri-objective ant colony optimization based model for planning safe construction site layout |
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| Affiliation: | 1. School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, Liaoning Province, China;2. School of Economics and Management, Beihang University, Haidian District, Beijing, China;3. Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University, Haidian District, Beijing, China;4. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, Liaoning Province, China;1. Department of Management Science and Engineering, School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China;2. Advanced ConsTruction and InfOrmation techNology (ACTION) Laboratory, Department of Civil Engineering and Engineering Mechanics, Columbia University, New York 10027, USA;3. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610064, China;1. Business School, Sichuan University, Chengdu 610064, PR China;2. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610064, PR China;3. Decision Sciences Department, LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA;1. School of Engineering and Advanced Technology, College of Sciences, Massey University, Auckland, New Zealand;2. Department of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;3. Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Hong Kong |
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| Abstract: | Realizing safety improvements in construction site layout planning (CSLP) is vitally important to construction project safety management. Unlike previous studies in which the safety objective is built without detailed risk factors analysis, this study transforms CSLP into a multi-objective optimization (MOO) problem with designing two safety objective functions due to facility safety relationships (potential risks arising from interaction flows) and geographic safety relationship (potential risks arising from hazardous sources) from the holistic interpretation of interaction relationship connecting temporary facilities. Besides, a supplementary cost reduction objective function was also derived as cost is a critical barrier against safety improvement. Subsequently, a tri-objective ant colony optimization based model was developed to solve MOO problem. Finally, a case study is used to verify the proposed model. The study enriches safety implications by considering onsite safety issues from interaction relationship and enhances site safety of CSLP in the pre-construction stage. |
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