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Impacts of human and spatial factors on user satisfaction in office environments

机译:人为和空间因素对办公环境中用户满意度的影响

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Post Occupancy Evaluation (POE), as an architectural design decision tool, utilizes data concerning multiple users' satisfaction in conjunction with indoor environmental components to develop a better quality of human life. However, one of the limitations of POE that is frequently pointed out is its excessive reliance on surveys and general solutions, without a full understanding of the occupants' physiological characteristics and pertinent environmental performance/conditions. This lack of awareness may lead to irrelevant modifications and the occupants' dissatisfaction with indoor environmental quality (IEQ). Therefore, this study suggested an integrated POE, that combined a quantifiable environmental dataset to indicate each individual occupant's satisfaction with each IEQ element. At 411 workstations in modern offices located in Southern California of the U.S., on-site IEQ measurements and user satisfaction surveys were conducted. Statistical analyses of the collected data were also conducted within specific categories of building types, spatial attributes, and human factors. These analyses revealed significant relationships that exist between human factors and IEQ satisfaction, as well as environmental conditions, including gender, age, workstation location, etc. These relationships could be ranked in accordance with the impact that sensitivities of individual IEQ elements using a decision tree algorithm, have on human physiological conditions. These findings suggested a hierarchical approach as an optimal design solution to maximize the occupants' well-being in their workplace environments. Therefore, these results reinforced the necessity for an integrated POE with consideration of human and environmental factors in order to provide enhanced/optimal IEQ design solutions for specifically-targeted population and spatial conditions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:占用后评估(POE)作为一种建筑设计决策工具,利用有关多个用户满意度的数据以及室内环境要素,来改善人们的生活质量。但是,经常指出的POE的局限性之一是它过度依赖调查和一般解决方案,而没有充分了解乘员的生理特征和相关的环境性能/条件。这种意识的缺乏可能会导致不适当的修改,以及乘员对室内环境质量(IEQ)的不满。因此,这项研究提出了一个集成的POE,该POE结合了可量化的环境数据集,以表明每个人对每个IEQ要素的满意度。在位于美国南加州的现代办公室中的411个工作站上,进行了现场IEQ测量和用户满意度调查。还对建筑物类型,空间属性和人为因素的特定类别进行了收集数据的统计分析。这些分析揭示了人为因素与IEQ满意度以及环境条件(包括性别,年龄,工作地点等)之间存在着重要的关系。可以使用决策树根据单个IEQ要素的敏感性对这些关系进行排名。算法,具有对人体的生理条件。这些发现建议采用分层方法作为最佳设计解决方案,以最大程度地提高居住者在工作场所环境中的舒适度。因此,这些结果加强了考虑到人为因素和环境因素的集成POE的必要性,以便为特定目标人群和空间条件提供增强/最佳的IEQ设计解决方案。 (C)2016 Elsevier Ltd.保留所有权利。

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