Building and household X-factors and energy consumption at the residential sector: A structural equation analysis of the effects of household and building characteristics on the annual energy consumption of US residential buildings

Abstract Energy use in residential buildings is one of the major sources of greenhouse gas emission production from cities. Using microdata from the 2009 Residential Energy Consumption Survey (RECS), this study applies structural equation modeling to analyze the direct, indirect, and total impacts of household and building characteristics on residential energy consumption. Results demonstrate that the direct impact of household characteristics on residential energy consumption is significantly smaller than the corresponding impact from the buildings. However, accounting for the indirect impact of household characteristics on energy consumption, through choice of the housing unit characteristics, the total impact of households on energy consumption is just slightly smaller than that of buildings. Outcomes of this paper call for smart policies to incorporate housing choice processes in managing residential energy consumption.

[1]  W. F. V. Raaij,et al.  A behavioral model of residential energy use , 1983 .

[2]  Olivia Guerra Santin,et al.  Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .

[3]  John W. Payne,et al.  How important is information format? An experimental study of home energy audit programs , 1986 .

[4]  C. Kennedy,et al.  Comparing High and Low Residential Density: Life-Cycle Analysis of Energy Use and Greenhouse Gas Emissions , 2006 .

[5]  M. Assimakopoulos,et al.  On the relation between the energy and social characteristics of the residential sector , 2007 .

[6]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[7]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[8]  Eric Hirst,et al.  Residential energy use: Analysis of disaggregate data☆ , 1982 .

[9]  Eric Hirst Review of Data Related to Energy Use in Residential and Commercial Buildings , 1980 .

[10]  Wayne Peter Forster,et al.  Energy Efficient Buildings: Architecture, Engineering, and Environment , 2002 .

[11]  A. Chevan Family growth, household density, and moving , 1971, Demography.

[12]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[13]  Mary Hancock,et al.  Energy Efficient Building: A Design Guide , 2003 .

[14]  R. Ewing,et al.  The impact of urban form on U.S. residential energy use , 2008 .

[15]  Dawn Iacobucci,et al.  Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics , 2010 .

[16]  F. Dieleman Households and Housing: Choice and Outcomes in the Housing Market , 1996 .

[17]  R. MacKay,et al.  Nonlinearity in complexity science , 2008 .

[18]  Thomas P. Boehm,et al.  A Hierarchical Model of Housing Choice , 1982 .

[19]  Y. Shimoda,et al.  Evaluation of city-scale impact of residential energy conservation measures using the detailed end-use simulation model , 2007 .

[20]  H. Béguin The effect of urban spatial structure on residential mobility , 1982, The Annals of regional science.

[21]  William A. V. Clark,et al.  Housing Consumption and Residential Mobility , 1984 .

[22]  George E. P. Box,et al.  Empirical Model‐Building and Response Surfaces , 1988 .

[23]  Thomas Dietz,et al.  STRUCTURAL-BEHAVIORAL DETERMINANTS OF RESIDENTIAL ENERGY USE: SUMMER ELECTRICITY USE IN DAVIS? , 1984 .

[24]  Scott Kelly,et al.  Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector , 2011 .

[25]  J. Quigley,et al.  Residential energy use and conservation: Economics and demographics , 2012 .

[26]  Gwendolyn Brandon,et al.  REDUCING HOUSEHOLD ENERGY CONSUMPTION: A QUALITATIVE AND QUANTITATIVE FIELD STUDY , 1999 .

[27]  Sewin Chan,et al.  Spatial Lock-in: Do Falling House Prices Constrain Residential Mobility? , 2001 .

[28]  Donald Watson,et al.  Climatic Design: Energy-Efficient Building Principles and Practices , 1983 .

[29]  Matthew E. Kahn The environmental impact of suburbanization , 2000 .

[30]  N. Kaza Understanding the spectrum of residential energy consumption: A quantile regression approach , 2010 .

[31]  Loren Lutzenhiser,et al.  A cultural model of household energy consumption , 1992 .

[32]  E. Hirst,et al.  Review of utility home energy audit programs , 1980 .

[33]  Jonathan D. Phillips,et al.  Sources of nonlinearity and complexity in geomorphic systems , 2003 .

[34]  Danièle Revel,et al.  Assessing the energy efficiency information gap: Results from a survey of home energy auditors , 2011 .

[35]  James B. Schreiber,et al.  Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review , 2006 .

[36]  Daniel Mendoza,et al.  Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States , 2010 .

[37]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[38]  Brian C. O'Neill,et al.  Demographic determinants of household energy use in the United States , 2016 .

[39]  H. Dowlatabadi,et al.  Models of Decision Making and Residential Energy Use , 2007, Renewable Energy.