文章从邻里尺度出发,检索3个数据库(Web of Science、Pubmed、Scopus)10年来邻里绿地与心理健康的研究性文献,对达到筛选要求的51篇文献的研究方法、研究结果进行统计分析,在梳理城市邻里空间范围、邻里绿地特征、社会背景与心理健康相...文章从邻里尺度出发,检索3个数据库(Web of Science、Pubmed、Scopus)10年来邻里绿地与心理健康的研究性文献,对达到筛选要求的51篇文献的研究方法、研究结果进行统计分析,在梳理城市邻里空间范围、邻里绿地特征、社会背景与心理健康相关性关系的基础上,进一步总结出以居民心理健康为导向的邻里绿地空间规划启示为:对于邻里绿地空间规划,需要综合邻里100~500 m、500~800 m、800~1600 m范围内绿地特征,关注绿道等线性绿地、大型休闲绿地的建设,关注劣势群体聚集区域的绿地规划;对于存量提升的绿地规划,需要优化邻里整体空间的植物结构、丰富植被种类,关注绿地内部品质,尤其重视口袋公园、街道空间的质量提升。未来需要增加纵向研究、绿地量化特征比较研究,以及绿地解释机制关系研究。展开更多
Background: Although the species-urban green area relationship (SARu) has been analyzed worldwide, the global consistency of its parameters, such as the fit and the slope of models, remains unexplored. Moreover,the SA...Background: Although the species-urban green area relationship (SARu) has been analyzed worldwide, the global consistency of its parameters, such as the fit and the slope of models, remains unexplored. Moreover,the SARu can be explained by 20 different models. Therefore, our objective was to evaluate which models provide a better explanation of SARus and, focusing on the power model,to evaluate the global heterogeneity in its fit and slope. Methods: We tested the performance of multiple statistical models in accounting for the way in which species richness increases with area, and examined whether variability in model form was associated with various methodological and environmental factors. Focusing on the power model, we analyzed the global heterogeneity in the fit and slope of the models through a meta-analysis. Results: Among 20 analyzed models, the linear model provided the best fit to the most datasets, was the top ranked model according to our efficiency criterion, and was the top overall ranked model.The Kobayashi and power models were the second and third overall ranked models, respectively.The number of green areas and the minimum number of species within a green area were the only significant variables explaining the variation in model form and performance, accounting for less than 10% of the variation. Based on the power model,there was a consistent overall fit (r2=0.50) and positive slope of 0.20 for the species richness increase with area worldwide.Conclusions:The good fit of the linear model to our SARu datasets contrasts with the non-linear SAR frequently found in true and non-urban habitat island systems;however, this finding may be a result of the small sample size of many SARu datasets. The overall power model slope of 0.20 suggests low levels of isolation among urban green patches, or alternatively that habitat specialist and area sensitive species have already been extirpated from urban green areas.展开更多
Legibility is a significant quality of urban spaces. It affects people's knowledge of space and options available to them. This paper focused on the importance of the legibility of urban spaces and its relationshi...Legibility is a significant quality of urban spaces. It affects people's knowledge of space and options available to them. This paper focused on the importance of the legibility of urban spaces and its relationship with urban design projects, and took the regeneration of Oxford's West End for example to il ustrate how to make urban open green spaces clearly legible.展开更多
基金国家自然科学基金面上项目“基于高压人群身心健康的工作环境绿色空间体系研究”(编号51978364)国家自然科学基金青年科学基金项目“北京地区城市森林疗养空间特征识别及健康效益定量评价”(编号51908310)Tsinghua-Toyota Joint Research Institute Cross discipline Program共同资助。
基金funded by the Consejo Nacional de Investigaciones Científicas y Técnicas and the Universidad de Buenos Aires (Argentina)
文摘Background: Although the species-urban green area relationship (SARu) has been analyzed worldwide, the global consistency of its parameters, such as the fit and the slope of models, remains unexplored. Moreover,the SARu can be explained by 20 different models. Therefore, our objective was to evaluate which models provide a better explanation of SARus and, focusing on the power model,to evaluate the global heterogeneity in its fit and slope. Methods: We tested the performance of multiple statistical models in accounting for the way in which species richness increases with area, and examined whether variability in model form was associated with various methodological and environmental factors. Focusing on the power model, we analyzed the global heterogeneity in the fit and slope of the models through a meta-analysis. Results: Among 20 analyzed models, the linear model provided the best fit to the most datasets, was the top ranked model according to our efficiency criterion, and was the top overall ranked model.The Kobayashi and power models were the second and third overall ranked models, respectively.The number of green areas and the minimum number of species within a green area were the only significant variables explaining the variation in model form and performance, accounting for less than 10% of the variation. Based on the power model,there was a consistent overall fit (r2=0.50) and positive slope of 0.20 for the species richness increase with area worldwide.Conclusions:The good fit of the linear model to our SARu datasets contrasts with the non-linear SAR frequently found in true and non-urban habitat island systems;however, this finding may be a result of the small sample size of many SARu datasets. The overall power model slope of 0.20 suggests low levels of isolation among urban green patches, or alternatively that habitat specialist and area sensitive species have already been extirpated from urban green areas.
基金Sponsored by Philosophy and Social Sciences Project of the Tibet Autonomous Region(15BSH001)
文摘Legibility is a significant quality of urban spaces. It affects people's knowledge of space and options available to them. This paper focused on the importance of the legibility of urban spaces and its relationship with urban design projects, and took the regeneration of Oxford's West End for example to il ustrate how to make urban open green spaces clearly legible.
