XIAO Yang, ZHANG Yuhang, KUANG Xiaoming. Exploring the Effects of Green Space of Community Level on People’s BMI and Self-rated Health: A Case Study of Shanghai[J]. Landscape Architecture, 2021, 28(2): 49-54. DOI: 10.14085/j.fjyl.2021.02.0049.06

Citation: XIAO Yang, ZHANG Yuhang, KUANG Xiaoming. Exploring the Effects of Green Space of Community Level on People’s BMI and Self-rated Health: A Case Study of Shanghai[J]. Landscape Architecture, 2021, 28(2): 49-54. DOI: 10.14085/j.fjyl.2021.02.0049.06

基金項(xiàng)目: 國(guó)家社會(huì)科學(xué)基金面上項(xiàng)目（編號(hào) 19BSH035）；高密度人居環(huán)境生態(tài)與節(jié)能教育部重點(diǎn)實(shí)驗(yàn)室（同濟(jì)大學(xué)）開放課題 ( 編號(hào) 2019020203）；國(guó)家自然科學(xué)基金（編號(hào) 51878455）

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Exploring the Effects of Green Space of Community Level on People’s BMI and Self-rated Health: A Case Study of Shanghai

Tongji University

摘要

摘要: 城市建成環(huán)境對(duì)居民的健康影響一直是國(guó)內(nèi)外學(xué)者關(guān)注的熱點(diǎn)問題，但既有文獻(xiàn)顯示學(xué)界對(duì)綠地對(duì)居民健康效應(yīng)（如肥胖等）并未達(dá)成共識(shí)，原因之一在于不同學(xué)科對(duì)于綠化的測(cè)量方法和研究精度不同，結(jié)論不統(tǒng)一?；谑澜缧l(wèi)生組織全球老齡化與成人健康調(diào)查數(shù)據(jù)，選擇高密度地區(qū)上海作為研究案例，包括23個(gè)社區(qū)數(shù)據(jù)5 000多個(gè)樣本?；谛l(wèi)星遙感技術(shù)，使用歸一化植被指數(shù)（NDVI）對(duì)植被覆蓋水平進(jìn)行量化，探究中國(guó)高密度地區(qū)綠化空間對(duì)居民肥胖與自評(píng)健康的影響作用。研究發(fā)現(xiàn)上海不同社區(qū)間的NDVI差異較大，植被覆蓋率高能顯著提升城市居民的自評(píng)健康水平，但對(duì)其生理健康效益BMI水平則無顯著影響，同時(shí)發(fā)現(xiàn)植被覆蓋僅在適宜范圍內(nèi)有良好的健康效益?；谏鲜鼋Y(jié)論提出健康導(dǎo)向的綠化空間規(guī)劃建議。

Abstract: The impact of urban built environment on residents’ health has always been a hot issue for scholars at home and abroad. However, existing researches show there is no consensus on the effects of green space on residents’ health, such as obesity. One of the reasons lies in that different disciplines have different measurement methods and research accuracy of greening, and the conclusion is not solid enough. Based on WHO global aging and adult health data, this research selects the high-density areas of Shanghai as the targets, and collects more than 5,000 samples from 23 communities in Shanghai. With the satellite remote sensing technology and the normalized difference vegetation index (NDVI), it quantifies the vegetation coverage level to explore the effects of greening space in high-density areas of China on the obesity and self-rated health of the residents. The research finds a large difference in NDVI among communities in Shanghai, high vegetation coverage can significantly improve self-rated health of urban residents, but has no obvious effects on the physiological health benefit BMI level. It also finds that vegetation coverage has good health benefits only within an appropriate range. Based on the above conclusions, it puts forward a health-oriented green space planning proposal.

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網(wǎng)址: 居住環(huán)境綠化水平對(duì)居民體質(zhì)指數(shù)（BMI）和自評(píng)健康的影響研究——以上海為例 http://www.u1s5d6.cn/newsview216368.html