| id |
caadria2025_140 |
| authors |
Li, Han, Zhang, Yin, Li, Qianqian, Tong, Xing, He, Haoyang, Pei, Wanyu, Li, Shuyang and Stouffs, Rudi |
| year |
2025 |
| title |
A Model-based Location Optimising Framework: Spatio-temporal analysis of effective concrete recycling infrastructure site selection |
| source |
Dagmar Reinhardt, Nicolas Rogeau, Christiane M. Herr, Anastasia Globa, Jielin Chen, Taro Narahara (eds.), ARCHITECTURAL INFORMATICS - Proceedings of the 30th CAADRIA Conference, Tokyo, 22-29 March 2025, Volume 3, pp. 509–518 |
| summary |
With urban renewal and carbon neutrality requirements, promoting and achieving building material circulation is essential. Concrete, a widely utilized building material, emits substantial amounts of embedded carbon throughout its entire lifecycle. Hence, establishing concrete reprocessing facilities plays a crucial role in promoting sustainable urban development. However, previous studies on optimizing location, assessing environmental impacts, and evaluating economic feasibility remain limited. This paper aims to develop a multi-objective and dynamic location selection model for concrete recycling facilities. This model integrates the temporal dimension of material flows by considering the urban demolition and reconstruction process. It was developed based on a backup coverage location problem (BCLP) and integrated into a multi-objective reinforcement learning model (MORL), integrating two sub-models, material flows model and cost distance model. This study uses Yangpu District of Shanghai as a research case. The model outputs align with the demolition plan of the local government, indicating that the spatial-temporal location optimization model has practical value in the real context of urban renewal. This dynamic location selection model can support facility location problem-solving in a temporally changing environment. |
| keywords |
Concrete recycling facility, Multi-objective model, Location optimization, Urban dynamic renewal |
| series |
CAADRIA |
| email |
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| full text |
 file.pdf (716,722 bytes) |
| references |
Content-type: text/plain
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| last changed |
2025/04/18 12:27 |
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