Planning, Housing and Energy Use: A Review

Holloway, Darren; Bunker, Raymond

doi:10.1080/08111140600591096

Cited by 23 publications

(19 citation statements)

References 10 publications

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“…[54]. Some research has found that households living in detached houses, townhouses and semi-detached dwellings consumed 74% more electricity than those living in multi-unit dwellings [71]. At the same time, some research has also found that households residing in detached houses are actually more willing to engage in energy conservation activities than those residing in apartment blocks [59].…”

Section: Dwelling Type and Sizementioning

confidence: 95%

“…Most studies have found positive associations between household income and residential energy consumption, suggesting that higher-income households tend to consume more energy than lower-income households [6,7,27,53,54,[69][70][71][72]. At the same time, however, there is also evidence that higher-income households may be more willing and/or able to conserve energy because they can afford the financial costs of energy-saving investments, such as purchasing new efficient technology [59].…”

Section: Incomementioning

confidence: 99%

“…Household income is closely linked with factors such as employment status, education and household size-all of which reflect situational characteristics that may facilitate or constrain energy-related behavior by providing the means by which people can perform everyday actions and take one-off steps to save energy. For example, higher-income households typically own and use more electrical appliances than lower-income households, which may lead to differences in energy use [53,71]. At the same time, a higher total income may also increase a household's capability to invest in one-off energy efficiency measures (e.g., solar panels, insulation, energy-saving devices) that serve to conserve energy.…”

Section: Incomementioning

confidence: 99%

“…That is, the association between household size and energy use is reversed when consumption is measured on a per capita basis. For example, while the highest consuming households tend to be larger families (i.e., couples with children), single-person households actually use the highest amount of energy per capita followed by couple-only, single-parent and two-parent families, respectively [71]. One study has found that two-person households consume around 17% less energy per person for residential and transportation activities than single-person households, with three-person households using more than one-third less energy per person [72].…”

Section: Socio-demographic Factorsmentioning

confidence: 99%

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The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review

2015

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Abstract:This article provides a comprehensive review of theory and research on the individual-level predictors of household energy usage. Drawing on literature from across the social sciences, we examine two broad categories of variables that have been identified as potentially important for explaining variability in energy consumption and conservation: socio-demographic factors (e.g., income, employment status, dwelling type/size, home ownership, household size, stage of family life cycle) and psychological factors (e.g., beliefs and attitudes, motives and intentions, perceived behavioral control, cost-benefit appraisals, personal and social norms). Despite an expanding literature, we find that empirical evidence of the impact of these variables has been far from consistent and conclusive to date. Such inconsistency poses challenges for drawing generalizable conclusions, and underscores the complexity of consumer behavior in this domain. In this article, we propose that a multitude of factors-whether directly, indirectly, or in interaction-influence how householders consume and conserve energy. Theory, research and practice can be greatly advanced by understanding what these factors are, and how, when, where, why and for whom they operate. We conclude by outlining some important practical implications for policymakers and directions for future research.

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Section: Dwelling Type and Sizementioning

confidence: 95%

Section: Incomementioning

confidence: 99%

Section: Incomementioning

confidence: 99%

Section: Socio-demographic Factorsmentioning

confidence: 99%

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The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review

2015

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“…According to Frederiks et al (2015), this may be because larger households may use and have more appliances, have more disposable income to spend on energy consumption, and have greater demand requirements such as cooking and cleaning. However, when energy use is measured per person the relationship appears to be reversed, with one-person households using the highest amount of energy per capita (Holloway & Bunker, 2006). The question then becomes: how does household size affect the adoption of energy efficiency?…”

Section: Household Sizementioning

confidence: 99%

Demographic determinants of Canada’s households’ adoption of energy efficiency measures: observations from the Households and Environment Survey, 2013

2017

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In addition to a growing and aging population, Canada has experienced large shifts in its residential sector. There are more households, homes are larger with less people in them, and there are more appliances per household, all of which contribute to increased energy consumption. The present work explores the demographic determinants of residential energy efficiency adoption using the 2013 Households and Environment Survey. With binary logistic regressions, we predicted the odds of households adopting three energy-efficient actions: energy-saving lights, programmable thermostats, and changes to a dwelling following an energy audit. Although it was found that Canadian households are participating in energy efficiency, not all groups are participating equally. Similar to previous research, seniors appear to be more inclined to adopt less challenging measures such as energy-saving lights, as opposed to more intensive dwelling upgrades. Additionally, levels of education and income were positively related to the adoption of energy efficiency measures. However, the results showed household income to be less of a contributing factor for decisions regarding dwelling changes compared to the financial incentives offered via government grants. The results suggest a need to increase energy efficiency education and to continue offering financial incentives as the country increases its residential energy efficiency.

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Expanding the use of life-cycle assessment to capture induced impacts in the built environment

Anderson

Wulfhorst

Lang

2015

Building and Environment

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Planning, Housing and Energy Use: A Review

Cited by 23 publications

References 10 publications

The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review

The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review

Demographic determinants of Canada’s households’ adoption of energy efficiency measures: observations from the Households and Environment Survey, 2013

Expanding the use of life-cycle assessment to capture induced impacts in the built environment

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