基于动态视觉量化的景观空间规划优化仿真

Landscape Spatial Planning Optimization Simulation Based on Dynamic Visual Quantification

静态视觉分析往往会忽略景观视觉的连续性和美观度。为了提高景观空间规划合理性和居民满意度,提出动态视觉量化分析下景观空间规划优化方法。通过景观格局指数法量化分析景观空间动态变化指标,将其作为景观空间评价指标;针对动态视觉量化指标,通过层次分析法和多级模糊综合评价方法获取景观空间评价结果;以评价结果为基础,建立以景观建筑成本和居民满意度为目标函数的景观空间规划优化目标,并利用小生境遗传算法求出目标最优解,获取景观空间规划最佳优化结果。实验结果表明,所提方法能够有效优化景观空间规划效果,提高居民满意度。

Static visual analysis often ignores the continuity and aesthetic appeal of landscape vision.To enhance the rationality of landscape spatial planning and resident satisfaction,a method for optimizing landscape spatial plan⁃ning was put forward based on dynamic visual quantitative analysis.Through the landscape pattern index method,the dynamic changes of landscape space were first quantitatively analyzed and then used as evaluation indicators for land⁃scape space.For the dynamic visual quantitative indicators,the analytic hierarchy process(AHP)and multi-level fuzzy comprehensive evaluation method were employed to obtain the evaluation results of landscape space.Based on these evaluations,an optimization objective for landscape spatial planning was established,with landscape construction costs and resident satisfaction as the objective function.Additionally,the niche genetic algorithm was utilized to find the optimal solution for the objectives.Finally,the best optimization result for landscape spatial planning was obtained.Experimental results demonstrate that the proposed method effectively optimizes the effect of landscape spa⁃tial planning while improving resident satisfaction.