摘要
城市公园绿地的休闲性量化评价是城市绿地规划的重要环节,现有的Rec-mapping方法适用于综合性城市绿地的评价,其普适性难以满足实际评价需求.基于Rec-mapping体系的8种体验指标,根据不同类型公园绿地的性质特点,采用模糊聚类法将高相关度的次要指标合并,提出更有针对性的评价指标组合;并通过Delphi法将改进前后的评价体系运用于重庆市4类典型公园绿地的休闲体验评价,以对比改进前后评价结果的差异.结果表明,改进后的评价方法普适性更强,所得结果更能合理反应当地人的感官体验,并且给出的是量化的体验评分.
The quantitative evaluation of the recreational nature of urban parks and green spaces is an important part of urban green space planning. The existing Rec-mapping method is suitable for the comprehensive evaluation of urban green spaces, but its universality is difficult to meet the needs of actual evaluation. Based on the eight experience indicators of the Rec-mapping system, and according to the nature and characteristics of different types of parks and green spaces, the fuzzy clustering method was used to merge the highly correlated secondary indicators to propose a more targeted combination of evaluation indicators. Through the Delphi method, the evaluation system before and after the improvement was applied to the leisure experience evaluation of four types of typical parks and green spaces in Chongqing, in order to compare the difference in the evaluation results between before and after the improvement. The study showed that the improved evaluation method is more universal, and give quantitative results. The derived results can more reasonably reflect the sensory experience of the local people.
作者
李芷汀
钟升明
徐梦蝶
LI Zhiting;ZHONG Shengming;XU Mengdie(School of Architecture and Design,Chongqing College of Humanities,Science&Technology,Hechuan Chongqing 401524,China;College of Civil Engineering,Chongqing University of Arts and Sciences,Yongchuan Chongqing 402160,China)
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2022年第7期217-225,共9页
Journal of Southwest University(Natural Science Edition)
基金
重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0149)。
