Optimizing site selection for construction demolition waste treatment plants considering demand and supply uncertainty: a case study in Chongqing, China

Abstract

The reasonable location of treatment plants can improve the recovery rate of construction and demolition waste (C&DW). However, most studies ignore the impact of uncertainty or are based on known probability information. This study establishes an optimization site selection model using a robust method, which takes into account the uncertainty of the recycling amount of C&DW and the demand for recycled products. The immune genetic algorithm is applied to solve and analyse the model. Chongqing, the only municipality in south-west China, is taken as a case study. The results show that: (1) transportation costs affect the behaviour of construction contractors in recycling C&DW; (2) site selection schemes and total costs vary with changes in the disturbance ratio and uncertainty level, and the uncertainty of supply has a greater impact on the costs; and (3) when the uncertainty level and disturbance rate reach a certain value, the site selection scheme changes.

KEYWORDS:

• Construction and demolition waste (C&DW)
• treatment plants
• site selection
• robust model
• uncertainty

Acknowledgements

The authors would like to acknowledge the financial support provided by the Fundamental Research Funds for the Central Universities-China [grant numbers 2022CDJSKPT25, 2020CDJSK03PT08 and 2021CDJSKJC17].

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

Some or all of the data, models or code that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by the Fundamental Research Funds for the Central Universities [grant numbers 2022CDJSKPT25, 2020CDJSK03PT08 and 2021CDJSKJC17].