CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”
肖扬, 张宇航, 卢珊, 匡晓明. 基于多源数据的多维度居住环境主观绿化评价水平与心理健康研究——以上海市里弄为例[J]. 风景园林, 2021, 28(11): 108-113. DOI: 10.14085/j.fjyl.2021.11.0108.06
引用本文: 肖扬, 张宇航, 卢珊, 匡晓明. 基于多源数据的多维度居住环境主观绿化评价水平与心理健康研究——以上海市里弄为例[J]. 风景园林, 2021, 28(11): 108-113. DOI: 10.14085/j.fjyl.2021.11.0108.06
XIAO Yang, ZHANG Yuhang, LU Shan, KUANG Xiaoming. Exploring the Relationship Between Multi-dimensional Residential Greening Perceived Neighborhoods Greenness Level and Residents’ Mental Health Based on Multi-source Data: A Case Study of Shanghai Lilong[J]. Landscape Architecture, 2021, 28(11): 108-113. DOI: 10.14085/j.fjyl.2021.11.0108.06
Citation: XIAO Yang, ZHANG Yuhang, LU Shan, KUANG Xiaoming. Exploring the Relationship Between Multi-dimensional Residential Greening Perceived Neighborhoods Greenness Level and Residents’ Mental Health Based on Multi-source Data: A Case Study of Shanghai Lilong[J]. Landscape Architecture, 2021, 28(11): 108-113. DOI: 10.14085/j.fjyl.2021.11.0108.06

基于多源数据的多维度居住环境主观绿化评价水平与心理健康研究——以上海市里弄为例

Exploring the Relationship Between Multi-dimensional Residential Greening Perceived Neighborhoods Greenness Level and Residents’ Mental Health Based on Multi-source Data: A Case Study of Shanghai Lilong

  • 摘要: 既有研究对城市绿地的心理健康效益持有不同观点,原因之一为各研究对绿地的评价方法存在差异。目前评价绿化水平的维度较为单一,且缺乏对城市特殊居住环境和社会空间类型的关注。基于2016年上海市新旧里弄综合调研数据,分析里弄建成环境绿化空间对自评健康与心理健康的影响。研究采用卫星遥感与街景识别等技术,从绿地可达性、绿地面积、社区植被覆盖水平、社区绿视率水平、社区绿化满意度等多个维度和不同尺度,对居住环境主观绿化评价水平进行量化。研究发现:居住区植被覆盖率特征及公园规模与自评健康显著相关,公园规模与心理健康显著相关,未发现绿视率以及居住地到公园距离对健康有显著影响,同时发现主观绿化评价水平对居民健康存在显著的积极作用。

     

    Abstract: The existing studies hold different views on the benefits of mental health arising from urban green space, and one of the reasons is that there are differences in the evaluation methods of green space. At present, the dimension of evaluating the greening level is relatively simple, and less attention is paid to urban special living environment and the types of social space. This research analyzes the impacts of the built-up environmental green space on self-rated health and mental health in lilong, or the lanes and alleys, based on the 2016 comprehensive survey data of Shanghai's old and new lanes and alleys. It adopts the satellite remote sensing and street view recognition technologies to quantify the greening level of the living environment from different dimensions, such as green space accessibility, green area, community vegetation coverage level, community green visibility level, and residents’ satisfaction of community greening. It has found that the vegetation coverage of the residential greening and the scales of the parks are significantly related to the self-rated health, and the scales of the parks are significantly related to the mental health. No significant effect of the distance to the parks and the view green index on health is found. It is also noted that the perceived greenness level has a significant positive effect on residents' health.

     

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