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Management of Municipal Construction Waste Transportation by Integrating ABM and GIS Model: A Case Study of Shenzhen

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Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2020)

Abstract

Effective construction waste management (CWM) is a key challenge for global sustainable development. In particular, scientific transportation management of municipal construction waste (CW) is also an important way to reduce environmental pressure due to the scarcity of land resources and the lack of landfill facilities in most cities. Based on the hybrid simulation method, this paper implements dynamic regulations and analyzes the effects of different construction waste management policies by applying agent based modeling (ABM) simulation method, and designs transportation plans by loading geographic information system (GIS) data. Construction waste transportation in Shenzhen is taken as an example in which GIS and other required excel data are loaded into AnyLogic simulation software. According to the ABM simulation results, the optimal disposal route of CW transportation is identified. Simulation results show that this method can effectively provide regular path planning for waste transportation, and follow the transportation route stipulated by the traffic regulations of Shenzhen. The findings can also provide a guide for decision making of CW transportation plans.

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Acknowledgements

This research is funded by the National Nature Science Foundation of China (Grant No.71974132), the Natural Science Foundation of Guangdong Province, China (Grant No. 2018A0303130037), Shenzhen Government Nature Science Foundation (Grant No. JCYJ20190808115809385).

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Correspondence to Zhikun Ding .

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Cao, X., Ding, Z. (2021). Management of Municipal Construction Waste Transportation by Integrating ABM and GIS Model: A Case Study of Shenzhen. In: Lu, X., Zhang, Z., Lu, W., Peng, Y. (eds) Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate. CRIOCM 2020. Springer, Singapore. https://doi.org/10.1007/978-981-16-3587-8_17

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