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董雯, 朱逊, 赵晓龙. 社区绿道建成环境特征与体力活动强度关联性研究——以深圳市为例[J]. 风景园林, 2021, 28(12): 93-99. DOI: 10.14085/j.fjyl.2021.12.0093.07
引用本文: 董雯, 朱逊, 赵晓龙. 社区绿道建成环境特征与体力活动强度关联性研究——以深圳市为例[J]. 风景园林, 2021, 28(12): 93-99. DOI: 10.14085/j.fjyl.2021.12.0093.07
DONG Wen, ZHU Xun, ZHAO Xiaolong. Research on Correlation Between Built Environment Characteristics of Community Greenway and Intensity of Physical Activities: A Case Study of Shenzhen[J]. Landscape Architecture, 2021, 28(12): 93-99. DOI: 10.14085/j.fjyl.2021.12.0093.07
Citation: DONG Wen, ZHU Xun, ZHAO Xiaolong. Research on Correlation Between Built Environment Characteristics of Community Greenway and Intensity of Physical Activities: A Case Study of Shenzhen[J]. Landscape Architecture, 2021, 28(12): 93-99. DOI: 10.14085/j.fjyl.2021.12.0093.07

社区绿道建成环境特征与体力活动强度关联性研究——以深圳市为例

Research on Correlation Between Built Environment Characteristics of Community Greenway and Intensity of Physical Activities: A Case Study of Shenzhen

  • 摘要: 社区绿道作为社区生活圈中的绿色线性空间,是高密度城市建成区居民进行日常体力活动的重要场所。以深圳市已建成的167段社区绿道为研究对象,探讨社区绿道建成环境特征与体力活动强度的关联性,旨在推动城市社区更新并提升公共健康水平。首先,将深圳市社区绿道按照周边用地性质分为绿地景观型、商业服务型和生活休闲型3类,基于POI数据爬取和实地测量方法,从临近性、连接性、场所性3个方面提取建成环境特征数据,采用行为观测结合《体力活动能量消耗编码表》的方法获取绿道体力活动强度数据。其次,运用相关分析和多元回归分析的数理统计方法识别关联性建成环境特征因子,并比较显著影响因子的影响强度差异,结合散点图明确其适宜值范围。结果表明,在临近性和连接性特征中,3类社区绿道的显著影响因子与影响强度各不相同,而在场所性特征中,绿道载体宽度与绿视率是3类绿道体力活动强度的共同偏好因子,但其适宜值域范围有所差异。最后,基于研究结果对深圳社区绿道的规划设计提出相关建议。

     

    Abstract: As a green linear space in the community living circle, the community greenway is an important place for residents of high-density population urban built-up areas to carry out daily physical activities. Taking 167 community greenways that have been built in Shenzhen City as the objects, this research explores the relationship between the built environment characteristics of community greenways and the intensity of physical activities, in a bid to promote urban community renewal and improve public health. Firstly, according to the nature of the surrounding land, the community greenways in Shenzhen are divided into three categories: green space landscape type, commercial service type, and life leisure type. Based on the POI data crawling and field measurement methods, the built-up environmental characteristic data from the aspects of proximity, connectivity and locality, the greenway physical activity intensity data based on the behavior observation along with the physical activity energy consumption table method. Secondly, the research adopts the mathematical statistics method of correlation analysis and multiple regression analysis to identify the related built environment characteristic factors, compares the impact intensity differences of significant impact factors, and clarifies the appropriate value range in combination with the scatter diagram. The results show that the significant impact factors and impact intensity of the three types of community greenways are different in proximity and connectivity characteristics. The greenway carrier width and visibility in location characteristics are the common preference factors for physical activity intensity of the three types of greenways, but their appropriate ranges are different. Finally, based on the research results, the authors put forward relevant suggestions for the planning and design of community greenways in Shenzhen.

     

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