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An applied framework to evaluate the impact of indoor office environmental factors on occupants’ comfort and working conditions

Maedot S. Andargie,Elie Azar

Published 2019 in Sustainable cities and society

ABSTRACT

Abstract This paper presents an integrated data collection and analysis framework to comprehensively evaluate the impact of office indoor building environment on occupants’ comfort, satisfaction, and work performance. The latter includes the perceived productivity level of respondents as well as an objective measure of basic cognitive thinking skills. The framework consists of five main stages, which include: 1) development of a survey for the subjective evaluation of comfort levels of occupants with various indoor environmental metrics, 2) development of a performance test for an objective evaluation of productivity, 3) assembly and calibration of an indoor environmental monitoring station, 4) data collection using the tools developed in the first three stages, and 5) data analysis using descriptive statistics, Spearman’s rank correlations, and ordinal logistic regression models. The framework is applied and validated through a case study of a green university campus in Abu Dhabi, UAE, where data was collected from 156 building users. Results show that both environmental conditions and occupants’ personal characteristics have significant impacts on how occupants perceive their indoor environment, affecting their overall satisfaction, reported happiness, reported productivity levels, and basic cognitive abilities. In parallel, demographical factors such as gender and age are significant determinants of most of the studied comfort and performance metrics, confirming the need to further account for the personal characteristics of occupants when assessing the performance of the built environment.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Sustainable cities and society

  • Publication date

    2019-04-01

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1016/J.SCS.2019.101447
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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