Abstract: With the continuous advancement of urbanization and the sustained growth of urban population, city building projects are facing severe challenges. How to analyze their environmental and economic benefits has become an urgent problem to be solved. Therefore, based on the proposed method for calculating the environmental and economic benefits of city building projects, this study uses a cross efficiency data envelopment analysis model for evaluation and solution. Then, an improved simulated annealing algorithm is used to achieve environmental and economic benefit optimization. The results showed that the improved simulated annealing algorithm tended to stabilize after 480 iterations, with maximum and minimum values of 0.86 and 0.21, respectively. The maximum F1 value was 0.988, indicating better performance. In the selected three urban construction projects, the cross efficiency data envelopment analysis model achieved high environmental and economic benefits, demonstrating the effectiveness of the model. After optimizing using the improved simulation degradation algorithm, the maximum economic benefit was increased by 850000 yuan, proving the effectiveness of the proposed method in analyzing the environmental and economic benefits of urban construction projects. It can provide more scientific decision support for construction project planning.

Jie Gong, “Environmental and Economic Benefit Analysis of Urban Construction Projects Based on Data Envelopment Analysis and Simulated Annealing Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 15(10), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151026

@article{Gong2024,
title = {Environmental and Economic Benefit Analysis of Urban Construction Projects Based on Data Envelopment Analysis and Simulated Annealing Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151026},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151026},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Jie Gong}
}