CAS and ABM-based Demolition Waste Management Research in the AEC Industry

doi:10.15302/J-FEM-2016004

Front. Eng

2016, Vol. 3

Issue (1) : 18-23 https://doi.org/10.15302/J-FEM-2016004

ENGINEERING MANAGEMENT TREATISES

CAS and ABM-based Demolition Waste Management Research in the AEC Industry

Zhi-kun Ding(

),Yi-fei Wang,Jin-chuang Wu

College of Civil Engineering, Shenzhen University, Shenzhen 518060, China

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Abstract

With the increase of the urban population and the rapid development of urbanization in China, a large number of old buildings will be demolished and produce a huge amount of waste. Currently the recycling ratio of old building materials is very low, which results in the problems of resource waste and environment pollution. This greatly challenges urban sustainable development. With respect to the continual growth of demolition waste quantities, it is urgent to research how to implement effective management of demolition wastes by focusing on the demolition agents’ behavior. Based on the theory of complexity, this paper analyzes the demolition waste management from the perspective of complex adaptive system. Taking into account the “green” demolition (building dismantling) and conventional demolition (building demolished) methods, the agent-based modeling method with Repast Simphony platform is applied to simulate interactions between demolition agents. The longitudinal trend of demolition waste quantities is forecasted.

Keywords demolition waste complexity science agent-based modeling

Corresponding Author(s): Zhi-kun Ding

Online First Date: 16 March 2016 Issue Date: 26 May 2016

Cite this article:

Zhi-kun Ding,Yi-fei Wang,Jin-chuang Wu. CAS and ABM-based Demolition Waste Management Research in the AEC Industry[J]. Front. Eng, 2016, 3(1): 18-23.

URL:

https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2016004
https://academic.hep.com.cn/fem/EN/Y2016/V3/I1/18

Fig.1 Demolition waste management system.

Fig.2 Model construction.

Fig.3 Model initialization.

Fig.4 Model run.

Fig.5 Dynamics of the DW generated and the number of two types of agents.

1	Chen, J., He, P., Shao, L., Lv, F., & Zhang, P. (2007). Method discussion on quality estimating of demolition waste. Environmental Sanitation Engineering, 15(6), 1–4.
2	Gell-Mann, M. (1994). Complex Adaptive Systems Complexity: Metaphors, Models and Reality. New York, NY: Addison-Wesley, 17–45.
3	Knoeri, C., Binder, C. R., & Althaus, H. J. (2011). An agent operationalization approach for context specific agent-based Binder modeling. Journal of Artificial Societies and Social Simulation, 4(2), 4–22.
4	Liu, G., Zhang, M., & Xu, K. (2013). Factors analysis on building life shortened in the urban renewal. Urban Problems, (10), 2–7.
5	Qiu, R., Li, S., & Wu, J. (2009). A review and prospect of agent_based modeling in tourism simulation. Geography and Geo- Information Science, 25(5), 102–107.
6	Ran, J., & Yang, K. (2012). Research on the simulation of the main urban area of Kunming city population spatial distribution based on integration between GIS and Repast. Yunnan Geogaraphic Environment Research, 24(5), 19–23.
7	Shi, S. (2013). Factors analysis of demolition waste reclamation. Environmental Sanitation Engineering, 21(1), 13–15.
8	Waldrop, M. M. (1992). Complexity: The Emerging Science at the Edge of Order and Chaos.New York, NY: Simon & Schuster.
9	Wang, J., Li, Z., & Wang, X. (2012). Factors analysis on construction waste minimization in the design stage. Journal of Engineering Management, 26(4), 27–31.

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