## 4 Computational Experiments
### Experimental Setting  
Our case study interprets the data primarily from two reliable sources. Firstly, official documents related to the location of identified potential construction waste recycling facilities and landfill sites, land use costs, the amount of construction waste generated, and the demand for materials recycled from construction waste are collected. Secondly, relevant literature provided supplementary information about the transportation costs, disposal fees of landfills, and construction costs of recycling centers (including land use costs and equipment fees). The above-mentioned can be further referred to in Table 2. Do note that a total of 20 scenarios are considered in this study, each with an equal probability of occurrence, i.e., \(\Omega=20\) and \(p_{\omega}=\frac{1}{\Omega}=0.05\). First, we introduce the data regarding construction waste recycling centers. Here, the data related to parameters \(R\), \(a_{r}\), \(e^{1}\), \(e^{2}\), and \(C_{r}^{1}\) are introduced. According to the Guangzhou Municipal Planning and Natural Resources Bureau's website [51], there are ten potential locations for the establishment of construction waste treatment plants. Therefore, \(R=10\). The values of the expected maximum construction area \(a_{r}\) are shown in Table 3, while the geographic locations are shown in Figure 1. Subsequently, the Guangzhou Municipal Planning and Natural Resources Bureau releases information on the processing capacity and area of the 37 existing recycling plants for construction waste [51]. The computation of construction waste volume per unit area for recycling centers involves determining the average of the existing recycling plants, with the exception of a single recycling center that is operating below full capacity. The average value is calculated as 405.85 m\({}^{2}\)/m\({}^{3}\), derived from the density of construction waste, which is established at 1.2 tons/m\({}^{2}\)[54]. Subsequently, the value of \(e^{1}\) is calculated by:  
\[e^{1}=\frac{1.2\times 10,000}{405.85}\approx 29.57\;\text{t/m}^{2}.\]  
According to the Technical Standard for Construction and Demolition Waste Treatment [52], the minimum resource utilization rate for construction waste should not be less than 95%. Therefore, it is assumed that 95% of the construction waste will be recycled, i.e., \(e^{2}=0.95\). \begin{table}
\begin{tabular}{c l c} \hline \hline
**No.** & **Name of the Official Documents or Literature** & **Related Inputs** \\ \hline \multirow{2}{*}{1} & Layout Planning of Construction Waste Disposal & \multirow{2}{*}{\(R\), \(S\), \(S^{\prime}\), \(a_{r}\), \(e^{1}\), \(C_{r}^{1}\), \(C_{s,r}^{2}\), and \(V_{s,\omega}\)} \\  & Facilities in Guangzhou (from 2021 to 2035) [51] & \\ \hline \multirow{2}{*}{2} & Technical Standard for Construction and & \multirow{2}{*}{\(e^{2}\)} \\  & Demolition Waste Treatment (CJ)/T134-2019) [52] & \\ \hline \multirow{3}{*}{3} & 2023 Guangzhou State-owned Construction Land & \multirow{2}{*}{\(C_{r}^{1}\)} \\  & Benchmark Land Value Land Level Scope and & \\  & Price [53] & \\ \hline \multirow{2}{*}{4} & UK Waste Classification Scheme [54] & \multirow{2}{*}{\(e^{1}\)} \\ \hline \multirow{3}{*}{5} & Cost-benefit analysis of demolition waste & \multirow{2}{*}{\(C_{s,r}^{2}\) and \(C_{s}^{3}\)} \\  & management via agent-based modeling: A case & \\ \cline{1-1}  & study in Shenzhen [55] & \\ \hline \multirow{3}{*}{6} & Evaluation of the economic feasibility for the & \multirow{3}{*}{\(C_{r}^{1}\)} \\ \cline{1-1}  & recycling of construction and demolition waste in & \\ \cline{1-1}  & China—The case of Chongqing [56] & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Relevant official documents and literature. The initial capital cost of constructing a recycling center consists of two key elements: land costs, construction costs, and equipment fees. In terms of land expenses, the Guangzhou Municipal Planning and Natural Resources Bureau allocates average land prices specifically for construction purposes in a myriad of areas [53].