[논문 리뷰] 다목적 공간 최적화 모델 연구 :: multi-objective spatial optimization model

 

1. Multi-objective urban land use optimization using spatial data: A systematic review

https://www.sciencedirect.com/science/article/pii/S2210670721004923#:~:text=%23%20%E3%80%900%E2%80%A0Multi,n%3D20

Multi-objective urban land use optimization using spatial data: A systematic review

 

Rahman, M. M., & Szabó, G. (2021). Multi-objective urban land use optimization using spatial data : A systematic review. Sustainable Cities and Society, 74, 103214.

 

2. The multi-objective spatial optimization of urban land use based on low-carbon city planning

https://www.sciencedirect.com/science/article/pii/S1470160X21002053#:~:text=%23%20%E3%80%901%E2%80%A0The%20multi,type%20of%20land%20use%20category

The multi-objective spatial optimization of urban land use based on low-carbon city planning

 

Wang, G., & Han, Q. (2021). The multi-objective spatial optimization of urban land use based on low-carbon city planning. Ecological Indicators, 125, 107540.

3. Spatio-temporal land use multi-objective optimization: A case study in Central China

https://onlinelibrary.wiley.com/doi/10.1111/tgis.12535

 

Cao, K., Zhang, W., & Wang, T. (2019). Spatio‐temporal land use multi‐objective optimization: A case study in Central China. Transactions in GIS, 23(4), 726-744.

 

4. Spatial Multi-Objective Optimization Approach for Land Use Allocation Using NSGA-II

https://ieeexplore.ieee.org/document/6676851

Spatial Multi-Objective Optimization Approach for Land Use Allocation Using NSGA-II

Shaygan, M., Alimohammadi, A., Mansourian, A., Govara, Z. S., & Kalami, S. M. (2013). Spatial multi-objective optimization approach for land use allocation using NSGA-II. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(3), 906-916.

 

5. Multi-objective Spatial Optimization Model for Land Use Allocation

https://ieeexplore.ieee.org/document/9530330

Multi-objective Spatial Optimization Model for Land Use Allocation

QiuYing, T., XiZi, W., SuoHua, Y., & YiRan, Z. (2021, July). Multi-objective Spatial Optimization Model for Land Use Allocation. In 2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics) (pp. 1-6). IEEE.

 

6. Big data, spatial optimization, and planning

 

https://journals.sagepub.com/doi/full/10.1177/2399808320935269#:~:text=,com%E3%80%91

Cao, K., Li, W., & Church, R. (2020). Big data, spatial optimization, and planning. Environment and Planning B: Urban Analytics and City Science, 47(6), 941-947.

 

 

 

7. Spatial multi-objective optimization of institutional elderly-care facilities: A case study in Shanghai

https://www.sciencedirect.com/science/article/pii/S1569843223002601#:~:text=%23%20%E3%80%900%E2%80%A0Spatial%20multi,%E2%80%A2

Spatial multi-objective optimization of institutional elderly-care facilities: A case study in Shanghai

Zhou, X., & Cao, K. (2023). Spatial multi-objective optimization of institutional elderly-care facilities: A case study in Shanghai. International Journal of Applied Earth Observation and Geoinformation, 122, 103436.

 

 

 

 

 

8. A two-stage spatial allocation model for elderly healthcare facilities in large-scale affordable housing communities: a case study in Nanjing City

 

https://pubmed.ncbi.nlm.nih.gov/33153047/#:~:text=,the%20elderly%2C%20and%20the%20investor

Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A

 

 

9. From service capacity to spatial equity: Exploring a multi-stage decision-making approach for optimizing elderly-care facility distribution in the city centre of Tianjin, China

https://www.sciencedirect.com/science/article/pii/S2210670722003948

From service capacity to spatial equity: Exploring a multi-stage decision-making approach for optimizing elderly-care facility d

 

Cheng, T., Liu, C., Yang, H., Wang, N., & Liu, Y. (2022). From service capacity to spatial equity: Exploring a multi-stage decision-making approach for optimizing elderly-care facility distribution in the city centre of Tianjin, China. Sustainable Cities and Society, 85, 104076.

 

10. Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A Case Study of Jing'an District in Shanghai, China

 

https://pubmed.ncbi.nlm.nih.gov/33153047/#:~:text=,the%20elderly%2C%20and%20the%20investor

Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A

Cheng M, Cui X. Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A Case Study of Jing'an District in Shanghai, China. Int J Environ Res Public Health. 2020 Nov 3;17(21):8090. doi: 10.3390/ijerph17218090.