2019
DOI: 10.1016/j.cacint.2020.100021
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The role of building characteristics, demographics, and urban heat islands in shaping residential energy use

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Cited by 17 publications
(9 citation statements)
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References 55 publications
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“…Overall, the socioeconomic and demographic findings presented here build upon and support findings in numerous empirical studies, such as [1,[18][19][20][21][22][23][24][25][26]51]. Such studies highlight the many ways that individual heterogeneity in socio-demographics and behavioral choice accounts for significant variation between predicted and actual energy use in buildings, and participation in energy efficiency programs.…”
Section: Policy Implications and Recommendationssupporting
confidence: 76%
See 1 more Smart Citation
“…Overall, the socioeconomic and demographic findings presented here build upon and support findings in numerous empirical studies, such as [1,[18][19][20][21][22][23][24][25][26]51]. Such studies highlight the many ways that individual heterogeneity in socio-demographics and behavioral choice accounts for significant variation between predicted and actual energy use in buildings, and participation in energy efficiency programs.…”
Section: Policy Implications and Recommendationssupporting
confidence: 76%
“…Some researchers point to the intention-behavior gap as a driving force behind lack of energy efficiency program participation, whereby stark differences exist between what individuals intend to do and actually do [10][11][12][13][14]; others argue that the technical and cost-saving potential for efficient buildings exists but that intervening economic factors such as information asymmetries, heterogeneous risk tolerance thresholds among individuals, and inaccurate personal discount rates lead to lack of participation in such cost-savings potential [3,4,6,[15][16][17]. Thus, many researchers are turning to socioeconomic and demographic factors as drivers of energy efficiency decisions to complement the field's knowledge of physical building characteristics that influence energy consumption [1,[18][19][20][21][22][23][24][25][26]; the present study builds upon this large and growing body of research.…”
Section: Introductionmentioning
confidence: 99%
“…Table 1), as the median EUIs in the United States could vary from 2.3 kBtu/ft 2 (drinking water treatment and distribution utility) to 402.7 kBtu/ft 2 (fast food restaurant) (Energy Star, 2022). It is also evident that the disparity of EUIs of the same building type could be caused by income, temperature, and race (Antonopoulos et al., 2019; Tong et al., 2021).…”
Section: Resultsmentioning
confidence: 99%
“…In addition, temperature was found to be less critical for building an EUI estimation (Pan & Zhang, 2020). Microclimate variation/urban heat islands, which could significantly increase the temperature difference across the region at certain times compared to the regional annual temperature difference, were found to have a further impact on building EU (Antonopoulos et al., 2019; Evins et al., 2020; Hong et al., 2021).…”
Section: Resultsmentioning
confidence: 99%
“…Graham (2015) draws attention to the deleterious influence of UHIs on local and global climatic conditions, noting that ‘as well as ameliorating cold winters, UHIs can dramatically accentuate the lethal effects of hot summers within a context of a warming planetary climate’ (p. 197). UHIs have also been shown to impact energy use (Antonopoulos et al, 2019), with ‘cool roofs, cool pavements, and urban vegetation’ (Akbari and Kolokotsa, 2016: 834) being proposed as some of the main mitigating measures. More extreme responses to the phenomenon – and global heating more generally – include the establishment of technologically controlled environments, aimed at creating ‘specialist forms of microclimatic enclosure that are explicitly designed to transcend the emerging limitations and increasing turbulence’ (Marvin and Rutherford, 2018: 1143) of contemporary social life.…”
Section: Nexus Technologies: Tracing the Connections Among Energy And...mentioning
confidence: 99%