Estimating the Generation of Construction and Demolition Waste by Using System Dynamics: a Proposed Model
During the past decades, construction and demolition (C&D) waste has received increasing attention from construction practitioners and researchers around the world. A plethora of research has been published in various academic journals. These studies have investigated a wide range of topics under the umbrella of C&D waste management, of which investigation into the generation of C&D waste in various economies is an obvious component, as estimating the generation of future C&D waste is of major importance for decision making and planning. However, a question that arises here is: How can we forecast the development of a dynamic and complex waste management system? Up-to-date research shows that previous studies regarding C&D waste have been mainly separately concentrating their work on measuring C&D waste through various methods, including direct observation, comparing contractors records, sorting and weighting the waste materials on site, consultation with construction company employees, and truck load records, but without incorporating the inter-related factors involved in the waste management process. By acknowledging their contributions to providing information for understanding different C&D waste management practices, there is apparently a general lack of approaches that enables us to holistically consider the inter-relations and interdependences of factors within the C&D waste management process. Bearing this in mind, this research proposes a model that is based on system dynamics approach to serve as a decision support tool for estimating the C&D waste generation. The dynamic model integrates all vital factors that affect and are affected by C&D depiction of the model. The aim of the research presented here is twofold: first, to incorporate the nature of dynamics into the modeling process which are not easily measureable, but are vital to descriptions of C&D waste management. Second, based on the proposed model, C&D waste management strategies could be analyzed under different scenarios, thus the best strategies can be identified for long-range planning.
Gui Ye Hongping Yuan Hongxia Wang
Faculty of Construction Management and Real Estate Chongqing University Chongqing, China Department of Building & Real Estate The Hong Kong Polytechnic University Hong Kong, China Faculty of Construction Management and Real Estate Chongqing University Chongqing, China Department
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）