QUANTIFICATION OF INDOOR ENVIRONMENTAL QUALITY IN SUSTAINABLE BUILDING DESIGNS USING STRUCTURAL EQUATION MODELING
Editor: Christian Weber, Stephan Husung, Gaetano Cascini, Marco Cantamessa, Dorian Marjanovic, Monica Bordegoni
Author: Piacenza, Joseph R; Fields, John J; Hoyle, Christopher; Tumer, Irem Y
Institution: 1: California State University Fullerton, United States of America; 2: Oregon State University, United States of America
Section: Design for Life
This paper presents an experimental design framework for quantifying Indoor Environmental Quality in sustainable buildings, by estimating causal relations between design attributes, and both the stated and revealed post occupancy user preferences. In this research, a combination of statistical data and qualitative assumptions are used to formulate a structural equation model (SEM) to determine a subsequent latent construct between variables. The SEM is comprised of fixed attributes, observed variables, and latent variables, and is designed to evaluate postulated significant correlations between each. Results show that quantifying relationships among user preferences and built environment attributes will allow designers to consider and incorporate characteristics in early design that support these correlations.