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朱小雷
作者单位
朱小雷 华南理工大学建筑学院亚热带建筑国家 重点实验室教授z84288945@163.com 
摘要:
根据环境参量的主观敏感性选择 指标是确保使用后评价效度的重要技术环 节,本研究利用现场测试与主观评价对照 研究的方法,调查了7个广州保障房小区的典 型平面与居室空间,获得了89组有效实测数 据及192份住户评价问卷数据。建成环境使 用后评价调查数据反映:广州典型保障房居 室的通风质量较优,空气质量和自然采光良 好;环境噪声总体上略高于标准值;热环境 的不满意率比较高。研究根据89组主客观配 对调查数据,经相关分析、ROC曲线分析和 二元Logistic回归分析过程,得出了重要室内 环境评价指标的主观敏感性排序,即温度> 湿度>自然采光照度>PM2.5,而环境噪声指 标的实际价值需要进一步验证。
关键词:  保障房居住空间  环境质量使用后 评价  主客观指标  敏感性
DOI:10.13791/j.cnki.hsfwest.20170304
分类号:
基金项目:An Environmental Quality Post Occupancy Evaluation on Habitable Space of Typical Affordable Housing in Guangzhou and Exploration on the Sensitivity of Evaluation Indexes
广州典型保障房居住空间环境质量使用后评价及评价指标敏感性探索
ZHU Xiaolei
Abstract:
The selection of evaluation indicators based on the sensitivity of environmental parameters is an important technical factor in ensuring the validity of Post Occupancy Evaluation (POE). In this study, the controlled study of field test and subjective evaluation to investigate the typical plan and habitable space of seven Guangzhou affordable housing units are used, and obtaines 89 valid measured data and 192 subjective evaluation questionnaire data collecting from Households. POE survey results reflect that the air quality and the natural lighting of the habitable space of typical affordable housing in Guangzhou are good, and the ventilation quality is very well. The tested environmental noise is on the whole slightly higher than the standard value; hot and humid environment, the dissatisfaction rate of thermal environment is relatively high. Based on the statistical test of the 89 subjective and objective matching survey data, by ROC curve analysis and Binary Logistic regression analysis, the subjective sensitivity of important indoor environmental indicators are sorted like this: temperature> humidity> natural lighting illumination> PM2.5, but the actual value of environmental noise indicators needs to be further validated.
Key words:  Habitable Space of the Affordable Housing  Post Occupancy Evaluation on Environmental Quality  Subjective and Objective Indicators  Sensitivity