Optimization of tree planting for urban residential green spaces

Regarding planting plans for urban residential green spaces, essential issues associated with tree plantings, such as the species ratio, density, and cost, have been independently addressed. However, it is necessary to explore these issues in an integrated manner for more comprehensive and efficient planting plans. This study addresses a tree-selection optimization problem incorporating variables for planting planning in a mathematical model. Three scenarios are evaluated: minimizing costs, maximizing CO 2 absorption, and maximizing species diversity. The proposed optimal tree selection model is applied to a park in an apartment complex. Based on the case study, optimal tree species are selected very efficiently to satisfy various objective functions. The suggested approach and optimal solutions of this study will be helpful in tree planting planning for urban community parks and serve as practical guidelines for decision-makers for comprehensive urban tree plans, residential land development, and urban planning.