基于图像数据的儿童绿地优化策略  

The Optimization Strategy for Children's Green Spaces Based on Image Data

作　　者：毕世波 郭晓华[1,2] 戴菲[1] Bi Shibo;Guo Xiaohua;Dai Fei(School of Architecture and Urban Planning,Huazhong University of Science and Technology,Wuhan 430074,China;College of Horticulture and Gardening,Yangtze University,Jingzhou 434025,Hubei,China)

机构地区：[1]华中科技大学建筑与城市规划学院,武汉430074 [2]长江大学园艺园林学院,湖北荆州434023

出　　处：《中国城市林业》2021年第4期61-66,共6页Journal of Chinese Urban Forestry

基　　金：国家自然科学基金青年项目“城市道路绿地微气候效应的ENVI-met模拟及景观绩效研究”(51908063);国家自然科学基金面上项目“消减颗粒物空气污染的城市绿色基础设施多尺度模拟与实测研究”(51778254)。

摘　　要：文章基于百度与谷歌数据源获取与儿童绿地相关图像,运用图像数据研究的新思路进行分析,结果表明:1)儿童行为与绿地密切相关,百度结果显示其紧密程度(高于60%)小于谷歌紧密程度(高于81%)。2)百度结果显示儿童绿地空间较单一,儿童在绿地空间的行为体现为常规(8.05%)>集体(2.01%)>挑战(0.67%);谷歌检索结果显示儿童行为较为多样,表现为集体(27.52%)>常规(15.43%)>挑战(12.08%)。最后,文章在图片内容分析的基础上,从基于感官系统提升绿地特征的多样性、基于儿童行为类型提升绿地空间的多元性、促进生物多样性增加绿地互动的可能性3个方面提出儿童绿地品质提升策略。This paper obtains the images related to children's green spaces through Baidu and Google for the study based on the new ideas of image data based green space research.We found after the analysis:1)Children's behaviors are closely related to green spaces,but the closeness from the search results with Baidu(above 60%)is less than that with Google(above 81%);2)Baidu^s search results show that children's green spaces are relatively unitary,and children's behaviors in green space include regular activities(8.05%)>collective activities(2.01%)>creative activities(0.67%),while the Google search results include multiple types of behaviors as follows:collective activities(27.52%)>regular activities(15.43%)>creative activities(12.08%);3)This paper proposes the strategies for improving the quality of children,s green spaces from three aspects:sensory system,children,s behavior types,biodiversity.

关 键 词：图像数据 儿童绿地 儿童行为 提升策略 

分 类 号：TU985.12[建筑科学—城市规划与设计]