1. Multi-objective urban land use optimization using spatial data: A systematic review
Multi-objective urban land use optimization using spatial data: A systematic review
Land use optimization is a promising approach to achieve urban sustainability. Despite the increasing number of literature on land use optimization, a…
www.sciencedirect.com
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
The multi-objective spatial optimization of urban land use based on low-carbon city planning
As the spatial carrier of carbon emission from land ecosystems and human activities, land use plays an important role in representing the spatial dist…
www.sciencedirect.com
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
Analysis and evaluation of land use patterns are of prime importance for natural resources management. Recent studies on land use allocation have been mainly based on linear programming optimization. Although these methods have the ability to solve multi-o
ieeexplore.ieee.org
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
Land use allocation, the process of adjusting different land types proportion in various industrial sectors, serves as an essential measure to improve land use sustainability. With the constant change of regional economic development, the social activity d
ieeexplore.ieee.org
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
Spatial multi-objective optimization of institutional elderly-care facilities: A case study in Shanghai
As the population aging trend accelerates in many countries throughout the world, notably in China, elderly-care services become increasingly vital. I…
www.sciencedirect.com
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
As the population is aging rapidly, the irrationality of residential care facility (RCF) configuration has impacted the efficiency and quality of the aged care services so significantly that the optimization of RCF configuration is urgently required. A mul
pubmed.ncbi.nlm.nih.gov
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
With the unprecedented growth of the ageing population and the insufficiency of social services, the equitable distribution of elderly-care facilities…
www.sciencedirect.com
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
As the population is aging rapidly, the irrationality of residential care facility (RCF) configuration has impacted the efficiency and quality of the aged care services so significantly that the optimization of RCF configuration is urgently required. A mul
pubmed.ncbi.nlm.nih.gov
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.
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