基于主成分分析的城市開放空間滿意度宏觀因子研究——以南京主城區(qū)為分析對象
發(fā)布時間:2019-01-05 15:00
【摘要】:通過城市開放空間滿意度評價的調(diào)查,運用統(tǒng)計學的主成分分析法將中觀層次的評價因子降維成開放空間規(guī)劃所需的若干宏觀因子,設(shè)計出了城市開放空間滿意度的宏觀因子提取與分析方法。以南京主城區(qū)為研究對象,選取18個不同類型的開放空間為研究樣本,說明該方法的運用過程。在統(tǒng)計學意義上得出了南京主城區(qū)開放空間規(guī)劃應(yīng)著重考慮的3個宏觀層面的因子:感知度、活力度和需求度,并以宏觀因子得分為依據(jù)對研究樣本進行了歸類,找出了樣本間潛在的聯(lián)系。實驗過程證明了研究方法的可靠性。
[Abstract]:Through the investigation of the satisfaction evaluation of urban open space, the evaluation factors at the middle level are reduced into some macro factors for the open space planning by using the principal component analysis method of statistics. The macro factor extraction and analysis method of urban open space satisfaction is designed. Taking the main urban area of Nanjing as the research object, 18 different types of open space are selected as the research samples to illustrate the application process of the method. On the basis of statistics, three macro factors should be considered in Nanjing urban open space planning: perception degree, vitality degree and demand degree, and the study samples are classified on the basis of macro factor scores. Potential connections between the samples were identified. The experimental results show the reliability of the method.
【作者單位】: 南京林業(yè)大學風景園林學院;
【基金】:國家自然科學基金項目(51278113) 江蘇省教育廳高校自然科學研究面上項目(13KJB220004) 南京林業(yè)大學高學歷人才基金項目(GXL201321)
【分類號】:F299.27
本文編號:2401923
[Abstract]:Through the investigation of the satisfaction evaluation of urban open space, the evaluation factors at the middle level are reduced into some macro factors for the open space planning by using the principal component analysis method of statistics. The macro factor extraction and analysis method of urban open space satisfaction is designed. Taking the main urban area of Nanjing as the research object, 18 different types of open space are selected as the research samples to illustrate the application process of the method. On the basis of statistics, three macro factors should be considered in Nanjing urban open space planning: perception degree, vitality degree and demand degree, and the study samples are classified on the basis of macro factor scores. Potential connections between the samples were identified. The experimental results show the reliability of the method.
【作者單位】: 南京林業(yè)大學風景園林學院;
【基金】:國家自然科學基金項目(51278113) 江蘇省教育廳高校自然科學研究面上項目(13KJB220004) 南京林業(yè)大學高學歷人才基金項目(GXL201321)
【分類號】:F299.27
【共引文獻】
相關(guān)期刊論文 前2條
1 胡最;鄧美容;劉沛林;王金國;田亞平;;基于GIS的衡陽人居適宜度評價[J];熱帶地理;2011年02期
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1 葉長盛,董玉祥;廣州市人居環(huán)境可持續(xù)發(fā)展水平綜合評價[J];熱帶地理;2003年01期
,本文編號:2401923
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