End use water consumption in households: impact of socio-demographic factors and efficient devices

Willis, Rachelle McDonald; Stewart, Rodney Anthony; Giurco, Damien; Talebpour, Mohammad Reza; Mousavinejad, Alireza

doi:10.1016/j.jclepro.2011.08.006

Cited by 269 publications

(224 citation statements)

References 23 publications

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“…Since consumers' behavior directly affects household water use [14], it is useful to understand what motivates their adoption of water-conserving technologies. Environmental concerns, financial considerations, and household demographics are the main factors influencing consumers' adoption of water-efficient technologies [14,19,24,25,32,33].…”

Section: Introductionmentioning

confidence: 99%

“…Environmental concerns, financial considerations, and household demographics are the main factors influencing consumers' adoption of water-efficient technologies [14,19,24,25,32,33]. Consumers who are more environmentally conscious are more likely to take actions to conserve water, including purchasing water-efficient products [19,25].…”

Section: Introductionmentioning

confidence: 99%

“…Consumers who are more environmentally conscious are more likely to take actions to conserve water, including purchasing water-efficient products [19,25]. In turn, reduced water usage/waste decreases consumers' water bills [14,24]. Therefore, it is not surprising that consumers with water bills based on actual water usage are more likely to adopt water-efficient technologies [19,25].…”

Section: Introductionmentioning

confidence: 99%

“…Estimates indicate that households adopting water-efficient appliances reduce their water usage by 26.6% [24]. Willis et al (2013) estimate that many water-efficient appliances pay for themselves within two years [14]. Regarding the relationship between socio-demographic characteristics and water conservation technology adoption, studies found that consumers are more likely to purchase water-efficient appliances if they own their home, have a higher income, or a larger household [19,25].…”

Section: Introductionmentioning

confidence: 99%

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Relating Knowledge and Perceptions of Sustainable Water Management to Preferences for Smart Irrigation Technology

et al. 2017

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Abstract:Water quantity and quality concerns in urban environments have prompted conservation groups, governmental agencies, and policy makers to develop and promote residential water conservation programs, including restrictions on residential landscape irrigation practices and incentives for the adoption of water-efficient appliances. Previous literature links household characteristics, financial incentives, and demographic characteristics to the adoption of water-efficient appliances and overall water use. However, relatively little attention has been given toward understanding how homeowners' perceptions and knowledge of smart irrigation technologies affect their preferences or stated purchase likelihood of such irrigation equipment. To address this gap in the literature, this paper identifies perception-and knowledge-related factors that are correlated with the purchase likelihood of smart irrigation controllers. The generalized logit regression model results suggest that knowledge about irrigation systems and residential landscaping are positively correlated with purchase likelihood. Similarly, homeowners' perceptions about conservation efforts, water restrictions, and their neighbors' irrigation habits all increase purchase likelihood. Combined with statistically-significant correlations of several socio-demographic variables and purchase likelihood, these results have theoretical and practical implications, which are summarized in this paper.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relating Knowledge and Perceptions of Sustainable Water Management to Preferences for Smart Irrigation Technology

et al. 2017

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“…Furthermore, with over 6 million readings generated per meter per year, it is not feasible to collect and store this type of data automatically for large populations and over long time scales. Willis et al [2013] and Beal et al [2011] are consumption studies that use high resolution meter data.…”

Section: Water Consumption Datamentioning

confidence: 99%

Water use signature patterns for analyzing household consumption using medium resolution meter data

Cardell-Oliver

2013

Water Resour. Res.

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[1] Providers of potable water to households and businesses are charged with conserving water. Addressing this challenge requires accurate information about how water is actually being used. So smart meters are being deployed on a large scale by water providers to collect medium resolution water use data. This paper presents water use signature patterns, the first technique designed for medium resolution meters for discovering patterns that explain how households use water. Signature patterns are clusters (subsets) of water meter readings specified by patterns on volumes and calendar dates. Four types of signature pattern are introduced in this paper: continuous flow days; exceptional peak use days; programmed patterns with recurrent hours; and normal use partitioned by season and period of the day. Signature patterns for each household are calculated using efficient selection rules that scale for city populations and years of data collection. Data from a real-world, large-scale, smart metering trial are analyzed using water use signature patterns. The results demonstrate that water use behaviors are distinctive, for both individuals and populations. Signatures can identify behaviors that are promising targets for water conservation. Pattern discovery can be automated with an efficient and scalable computer program. By identifying relevant consumption patterns in medium resolution meter data, water use signature patterns can help to achieve the water conservation potential of large-scale smart metering.Citation: Cardell-Oliver, R. (2013), Water use signature patterns for analyzing household consumption using medium resolution meter data, Water Resour. Res., 49,[8589][8590][8591][8592][8593][8594][8595][8596][8597][8598][8599]

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Exploring the synergy between customer home‐based and hotel‐based water consumption and conservation behaviors: An empirical approach

Untaru

Ispas

Han

2020

J of Consumer Behaviour

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This study aimed to investigate the synergy between customers' home-based and hotel-based water conservation behaviors. A market segmentation approach based on water conservation behaviors in households and environmental concerns was undertaken to identify the distinct types of individual groups and understand the differences between segments in terms of demographic characteristics, attitudes, moral obligation, and intentions toward water conservation behavior in a hotel guestroom. Our empirical findings showed that individuals who save water at home and are more environmentally concerned have stronger attitudes, moral obligation, and water conservation intentions while staying in a hotel. The cluster analysis indicated that three distinct segments existed that are significantly different in terms of gender and age. The findings suggested that targeting the three segments, which included the environmentally concerned and active, the environmentally concerned but inactive, and the environmentally unconcerned and inactive groups, with different communication strategies may prove to be a more efficient approach for hotel managers.

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End use water consumption in households: impact of socio-demographic factors and efficient devices

Cited by 269 publications

References 23 publications

Relating Knowledge and Perceptions of Sustainable Water Management to Preferences for Smart Irrigation Technology

Relating Knowledge and Perceptions of Sustainable Water Management to Preferences for Smart Irrigation Technology

Water use signature patterns for analyzing household consumption using medium resolution meter data

Exploring the synergy between customer home‐based and hotel‐based water consumption and conservation behaviors: An empirical approach

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