Multi-Objective Trade-off Optimization of Layout for Urban-Rural Settlements around Wuyishan National Park:Based on Multi-Source Data and Ant Colony Algorithm
Optimizing the spatial layout of urban and rural settlements surrounding national parks is crucial for harmonizing national park conservation with regional development.However,achieving multi-objective trade-offs and overall planning is the bottleneck of land layout optimization.Based on multi-source open data to optimize the evaluation index system,we combined with the multi-objective weighting method to improve the ant colony algorithm to construct a multi-objective trade-off oriented optimization model for urban and rural settlements around the national park,and took the five counties or cities around Wuyishan National Park as the study area,to explore the optimization of the layout of the trade-off between conservation and development objectives.It was revealed that,1)Urban and rural residential areas around Wuyishan National Park were predominantly concentrated in the urban centers of five counties and cities,with sporadic distributions in the periphery.2)Suitable and relatively suitable areas around the national park comprised 5.38%and 29.44%of the total area respectively.3)A trade-off scheme between compactness and suitability based on gradient analysis was proposed and the optimal scheme was identified through comparative analysis.The study will provide technical support and a reference case for optimizing and sustainably developing spatial planning in areas surrounding national parks.