Lifestyle factors in U.S. residential electricity consumption
By T. Sanquist, Heather Orr, B. Shui, A. Bittner. 2012
273 citations recorded by the source corpus.
Subfields: Building and Construction, Management, Monitoring, Policy and Law, Speech and Hearing
View Paper: https://www.semanticscholar.org/paper/31353172085d78b59f135603caa282b4997e152a
How researchers see this paper
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In Building and Construction
In Management, Monitoring, Policy and Law
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Citations in the corpus
- The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings (2015, background): “Common data collection methods used in dwelling level studies are personal interviews [8,20], phone surveys [21], electricity meter readings provided by energy providers [14,22,23], household electricity monitoring [5,12,21,24], including submetering of appliances [20,25], questionnaires [7,12,20,23”
- Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics (2015, unknown): “Past literature has identified key socio-economic and dwelling factors that influence electricity consumption in domestic buildings [6,9,11-46].”
- Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers (2015, background): “, 2010), which can be split by various categories of consumption (Barr and Gilg, 2006; Sanquist et al., 2012; Shui and Dowlatabadi, 2005).”
- Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data (2016, unknown): “Sanquist et al. (2012) investigated the role of lifestyle dimensions of residential electricity consumption using multivariate statistical approach namely factor analysis and multiple regression analysis.”
- Lifestyle Practices and Proenvironmental Technology (2012, background): “Thismethodhas provenuseful in previous analyses of lifestyle practices seeking to identify groupings of practices (Bagley and Mokhtarian, 1999; Barr and Gilg, 2006; Sanquist et al., 2012; Van Acker et al., 2011).”
- Household Energy Consumption Segmentation Using Hourly Data (2014, background): “Almost all segmentation in those fields rely on surveys of individuals regarding their self- reported values, attitudes, knowledge, and behaviors [1], [2].”