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地域特征对绿色办公建筑空间分布影响研究

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不同地区绿色办公建筑的发展呈现出显著差异,以2008-2021年间中国绿色办公建筑申报面积数据为基础,利用多尺度地理加权回归(multi-scale geographically weighted regression,简称MGWR)模型,分析了不同地区地域特征对绿色办公建筑发展的差异化影响,揭示了导致这些差异的根本原因.结果显示:①2008-2021年,中国绿色办公建筑经历了萌芽期、增长期、调整期和稳定发展期4个阶段,设计理念和标准在实际执行中面临挑战;②MGWR模型在考虑空间异质性方面显示出更高的效率,相比传统的地理加权回归(geographically weighted regression,简称GWR)模型,其 R2 值提升了 84.06%,修正后的赤池信息量(comected akaike information criterion,简称 AICc)值降低了 82.96%;③设计阶段需更深入考虑地区特定地域条件,增强绿色办公建筑在不同地区的设计适应性和运营有效性.
Study on the influence of geographical characteristics on the spatial distribution of green office buildings
The development of green office buildings in different regions shows significant differences.Based on the declared area data of green office buildings in China from 2008 to 2021,using the multi-scale geographically weighted regression(MGWR)model,the differentiated impacts of the geographical characteristics of different regions on the development of green office buildings were analysed,and the underlying causes of these differences were revealed.The results show that from 2008 to 2021,Chinese green office buildings experienced four phases(germination,growth,adjustment,and stable development),and the design concepts and standards faced challenges in actual implementation.The MGWR model shows higher efficiency in considering spatial heterogeneity,and compared to the traditional geographically weighted regression(GWR)model,its R2 value is improved by 84.06%and the AICc value is reduced by 82.96%.The design stage needs to consider more deeply the specific geographical conditions of the region to enhance the design adaptability and operational effectiveness of green office buildings in different regions.

green office buildinggeographical characteristicinfluencing factormulti-scale geographically weighted regressionscale effect

杨嵌、何鑫

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西南科技大学土木工程与建筑学院,四川绵阳 621000

绿色办公建筑 地域特征 影响因素 多尺度地理加权回归 尺度效应

2024

四川建筑科学研究
四川省建筑科学研究院

四川建筑科学研究

影响因子:0.422
ISSN:1008-1933
年,卷(期):2024.50(6)