Journal of Environmental Psychology 43 (2015) 105e111
Contents lists available at ScienceDirect
Journal of Environmental Psychology
journal homepage: www.elsevier.com/locate/jep
Don't rush to flush
Michelle L. Lute a, *, Shahzeen Z. Attari a, Steven J. Sherman b
a
b
School of Public & Environmental Affairs, 1315 East Tenth Street, Bloomington, IN 47405, USA
Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN 47405, USA
a r t i c l e i n f o
a b s t r a c t
Article history:
Received 25 March 2015
Received in revised form
26 May 2015
Accepted 2 June 2015
Available online 4 June 2015
Encouraging sustainable water use is a critical endeavor in addressing issues associated with short- and
long-term droughts. Toilets account for up to 26.7% of indoor household water use. Therefore substantial
opportunity exists to conserve water via reduced flushing after urination at home. Here, we use an online
survey (N ¼ 1008) to identify barriers to reduced flushing. The majority of participants reported they
always flush (63%) and believed that others should always flush. Social norms surrounding cleanliness
are the most prevalent reasons for flushing. Results suggest four main barriers to reducing flushing:
disgust sensitivity, habitual nature of flushing, norms regarding cleanliness, and lack of proenvironmental motivations. Participants who always flush are less likely to sacrifice for the environment than occasional flushers. Participants tended to underestimate average American water use and
their own water use. Targeted interventions to decrease urine-related disgust and increase proenvironmental motivations may help achieve water conservation goals.
© 2015 Elsevier Ltd. All rights reserved.
Keywords:
Toilet flushing behavior
Decision making
Disgust
Household water use
Water conservation
1. Introduction
Sustainable water use is an important and critical component in
addressing contemporary and interconnected problems of global
climate change, drought, and human welfare. Climate change
models indicate that water availability may significantly decrease
in arid regions already challenged by water shortages (Brusca et al.,
2013; Cook, Ault, & Smerdon, 2015). Issues of water inequality can
cause significant conflict between upstream users and the water
have-nots downstream. These conflicts may be localized tensions
between neighbors or much broader conflict between countries
(Rozin, Haddad, Nemeroff, & Slovic, 2015). In either case, excessive
and unsustainable water use by some at the expense of basic water
needs of others is a problem that could be avoided. Therefore,
understanding barriers to reducing water use is an important
research need.
An individual's bare minimum water requirement is approximately 13.2 gallons per day (Gleick, 1996), yet the average American uses about 98 gallons of water per day (Kenny et al., 2009).
Although outdoor water use varies significantly across regions,
daily per capita indoor water use averages about 69.3 gallons, and
toilets account for 26.7% of this indoor household water use (Mayer
* Corresponding author.
E-mail address:
[email protected] (M.L. Lute).
http://dx.doi.org/10.1016/j.jenvp.2015.06.003
0272-4944/© 2015 Elsevier Ltd. All rights reserved.
et al., 1999). Inskeep and Attari (2013) estimate that decreasing the
number of flushes per household per day has the potential to
decrease 7% of total indoor water use. Thus, with individuals
averaging about 5 flushes per day (by their estimate), substantial
opportunity exists to conserve water via reduced flushing after
urination at home.
Here we explore self-reported flushing behaviors and identify
barriers to water conservation via reduced flushing. To our
knowledge, only two studies directly address the question of
flushing frequency (Gilg & Barr, 2006; Randolph & Troy, 2008).
Both studies found evidence of people's willingness to reduce water
consumption through several actions, including using the half flush
on a dual flush toilet, but few participants were willing to flush less
frequently. To our knowledge, no studies have quantified motivations for such strong opposition to reducing the number of flushes
at home.
Potential barriers to changing flushing behavior include the
habitual nature of flushing, urine-related disgust sensitivity, and
social norms regarding toilet cleanliness (Stern, 2000). Given that
Americans average five flushes per day and flushing requires little
effort or thought, flushing is most likely a highly habitual behavior.
Although dual process models suggest that explicit attitudes would
not influence habits, which are automatic as opposed to conscious
(Smith & DeCoster, 2000), breaking a habit may require making the
behavior effortful or salient to other values and norms. Thus,
reversing habitual flushing behaviors may require increasing
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M.L. Lute et al. / Journal of Environmental Psychology 43 (2015) 105e111
motivation to conserve water through personal or social proenvironmental norms (Dahlstrand & Biel, 1997; Stern, 2000).
Disgust and related fear of contamination also may be a barrier to
reducing flushing (Haidt, McCauley, & Rozin, 1994; Tybur,
Lieberman, & Griskevicius, 2009). Urine usually does not have a
high concentration of pathogens (WHO, 2006), but disgust eliciting
factors may include the smell and sight of urine (Ilemobade,
€ m, 2005;
Olanrewaju, & Griffioen, 2012; Lundblad & Hellstro
Olatunji, Haidt, McKay, & David, 2008). Feelings of disgust function to protect the individual from disease and, like habit, are most
likely unconscious reactions. Given that individuals vary in their
disgust sensitivity, measuring how commonly urine elicits disease
avoidance behaviors (i.e., disgust-motivated flushing) among participants is important to understanding barriers to reduced flushing.
Disassociating urine with disgust among those who are sensitive
could include psychological approaches (e.g., changing attitudes
about urine) or technical fixes that eliminate disgust-eliciting factors (i.e., sight, smell; Rachman, 2004; Rozin et al., 2015).
Related to the idea of disgust, social norms regarding toilet
cleanliness may also influence flushing behaviors. Common expectations of encountering urine-free toilets may exert strong social pressure. Embarrassment about leaving urine in a toilet may
create a significant barrier for individuals who might otherwise be
motivated to conserve water via reduced flushing. Measuring the
role of such norms will be integral to overcoming barriers to
flushing less.
Increased understanding of how to encourage adoption of the “if
it's yellow, let it mellow” approach will help increase water conservation. Research suggests potential for environmental concern
and related motivations to influence water use behaviors (Gilg &
Barr, 2006; Willis, Stewart, Panuwatwanich, Williams, &
Hollingsworth, 2011). Social norms that pressure people to
conserve water for the greater good may be more influential than
cleanliness concerns (Shove, 2003). If pro-environmental norms
are stronger than cleanliness norms, people may be willing to
reduce flushes, or may already be doing so. Furthermore, experience with drought may increase risk perceptions that in turn influence environmental concern and encourage water conservation
(Weber, Blais, & Betz, 2002; Zaval, Keenan, Johnson, & Weber,
2014). Household-level behavior strongly influences the entire
water management system, and thus understanding and changing
motivations for water use behaviors can provide more effective
solutions compared to extensive infrastructure overhaul (Grant
et al., 2012). Exploring these relationships and how they compete
with social norms about cleanliness can provide a robust model
that predicts flushing behavior.
In this study we quantify flushing frequency and identify barriers to decreased flushing by measuring the extent to which
disgust, drought experience, risk perception, habit, environmental
concern, social norms, and other factors might influence flushing
behavior. Our objective is to increase knowledge of how to
encourage water conservation through one of the most water
intensive indoor household activities.
2. Methods
com on completion. Participants were screened by location (U.S.)
and age (18 years or older). Median age was 33 years (compared
with 37.2 years in the U.S.; Census 2010), median level of education
was some college or a college degree (35.4% have an associate's
degree or more in the U.S.), and median family income was $40,000
($50,054 in the U.S.; Census 2010). Fifty-seven percent of participants were male (49.2% in the U.S.; Census 2010), and 53% selfidentified as liberals, 25% as moderates, and 22% as conservatives.
These trends may indicate some selection or response bias; like
many online surveys, participants tended to be younger and male
compared to U.S. Census data (Ansolabehere & Schaffner, 2014;
Bell, Huber, & Viscusi, 2011).
2.1.1. Survey materials
All questions in the survey focused on flushing after urination at
home. The survey began with a closed-ended item measuring
flushing frequency at home: “How often do you flush after you
urinate at home?” with five response options (never, sometimes,
half of the time, most of the time, always). The survey then
branched to an open-ended item asking about reasons for flushing
behaviors, worded specifically for either participants who indicated
they (a) always flush (response “Always”) or (b) do not always flush
(responses “Never”, “Sometimes”, “Half of the time”, and “Most of
the time”) after urinating at home. We chose separate branching
with unique wording because we expected participants who always flushed to be different from occasional flushers. All participants then completed the same items for the rest of the survey.
Closed-ended, multiple-choice questions using 5-point Likert
scales were used to measure attitudes, beliefs, and behaviors discussed in greater detail in the sections below. This research was
approved by Indiana University's Internal Review Board at the Office of Research Administration, and informed consent was
received from all participants. The complete survey can be found in
Appendix A.
2.1.2. Reasons for flushing behavior
Through literature review and pre-testing, we identified 17
potential reasons that might influence people's flushing behavior at
home that were asked to participants on a Likert scale (1 ¼ Strongly
disagree, 2 ¼ Disagree, 3 ¼ Neither agree nor disagree, 4 ¼ Disagree
and 5 ¼ Strongly disagree). We first asked about internal, psychological influences such as: habit, upbringing, convenience, social
norms, and other perceptions about toilet cleanliness and disgust
related to sight and smell of urine. We also asked about external or
physical influences including saving money on a water bill, clogging
the toilet, urination frequency, waking a partner or roommate, and
how often one wants to clean the toilet.
2.1.3. Encountering urine in the toilet
We posed a scenario of encountering urine in a home toilet to
gauge whether reduced flushing on the part of one individual
might increase flushing for others. We asked participants what they
would do if they encountered (a) their own urine, (b) a significant
other's urine, and (c) a guest's urine in their toilet at home, with
response options (1 ¼ Flush then use toilet, 2 ¼ Use toilet then
flush, 3 ¼ Use toilet but not flush, 4 ¼ Other, please specify).
2.1. Participants
In December 2014, we recruited 1008 participants via Amazon's
Mechanical Turk (MTurk) Internet panel who completed the survey
online. MTurk is a somewhat new and commonly used platform for
psychological studies, and has been shown to produce reliable data
that is significantly more diverse than traditional college samples
(Buhrmester, Kwang, & Gosling, 2011; Paolacci, Chandler, & Stern,
2010). Each participant received a $1 gift certificate to Amazon.
2.1.4. Perceptions of household water use
Using open-ended responses, we asked participants to estimate
how much water the average American uses, how much they use,
how much a single flush uses, and how much water is used in total
by flushing in a typical day. Questions were adapted from Attari
(2014) and were intended to gauge whether misperceptions of
water use related to toilet flushing were prevalent among our
sample.
M.L. Lute et al. / Journal of Environmental Psychology 43 (2015) 105e111
2.1.5. Willingness to conserve water in the bathroom
We included seven items to measure participants' willingness to
engage in various water conservation behaviors in the bathroom,
including reduced flushing, checking for leaks, installing a toilet
tank insert (to displace water and reduce water/flush), and
replacing their current toilet with more efficient options (1 ¼ Not
willing at all, 2 ¼ Moderately willing, 3 ¼ Extremely willing, 4 ¼ I
already do this).
2.1.6. Willingness to sacrifice via reduced flushing
We measured participants' willingness to make sacrifices for the
environment via reduced flushing, adapting similar measures from
Davis, Le, and Coy (2011), Etcheverry and Le (2005) (1 ¼ Strongly
disagree, 2 ¼ Disagree, 3 ¼ Neither agree nor disagree, 4 ¼ Disagree
and 5 ¼ Strongly disagree). We created a composite variable by
averaging responses to the 6 items (X ¼ 3.53, standard deviation
[SD] ¼ 0.90, a ¼ 0.92). We also assessed the perception that reduced
flushing would not be worthwhile because other people would not
be willing to do so (further referred to as the drop in the bucket
concept; Attari, Krantz, & Weber, 2014).
2.1.7. Experience with and risk perception about drought
Risk experience was measured by participants' self-reports
regarding whether they lived in a drought prone area, were
currently experiencing drought, or had experienced drought in the
past month or year (1 ¼ Strongly disagree, 2 ¼ Disagree, 3 ¼ Neither
agree nor disagree, 4 ¼ Disagree and 5 ¼ Strongly disagree). Risk
perception was assessed by asking participants whether they
thought drought to be a serious problem and if they conserved
water to address this risk. We created a composite variable by
averaging responses to the six items (X ¼ 2.34, SD ¼ 0.99, a ¼ 0.90).
2.1.8. Disgust sensitivity
In additional to the urine-specific disgust questions described
above, contamination-based disgust sensitivity was assessed using
an abbreviated scale adapted from Haidt et al. (1994) and Olatunji
et al. (2009).1 We created a composite variable for contaminationbased disgust by averaging responses to the six items (X ¼ 2.73,
SD ¼ 0.83, a ¼ 0.75).
3. Results
3.1. Current and future flushing behaviors
Of the total sample of 1008 participants, 63% reported they always flush after urinating at home, 22% flush most of the time, 9%
flush half of the time, 5% flush sometimes, and 0.3% never flush.
Sixty-five percent of participants indicated they believed that
people should always flush after urinating at home. Sixty-seven
percent of women and 61% of men reported always flushing
(t ¼ 2.04; p < 0.05).
We measured willingness to flush less in the future, along with
other conservation behaviors that occur in the bathroom (see
Appendix B). Overall, participants were most willing to conserve
water only if drought occurred or water prices increased, to install a
toilet tank insert, and to check for leaks. Occasional flushers
showed higher average willingness to engage in all water
conserving behaviors than those who always flush. Occasional
flushers were significantly more willing to flush less (t ¼ 27.89;
p < 0.0001), install a toilet tank insert (t ¼ 2.29; p < 0.05), conserve
if prices increase (t ¼ 9.41; p < 0.0001), and conserve if drought
1
For more details and the complete DS-R scale, see http://people.stern.nyu.edu/
jhaidt/disgustscale.html.
107
occurred (t ¼ 6.38; p < 0.0001). Of our sample, 33% reported having
a low-flow toilet, 7% reported having a toilet tank insert installed,
5% reported having a dual-flush toilet installed, and only 2% reported having a composting toilet.
3.2. Open-ended reasons
To analyze reasons for always or occasionally flushing separately, two raters coded participants' first three reasons from the
open-ended responses. The interrater reliability was high for the
first reason (k ¼ 0.68e0.70) corresponding to substantial agreement for each set of codes (Landis & Koch, 1977). Table 1 shows the
frequency of the first three reasons mentioned in the open-ended
responses. The most common open-ended response for always
flushing was contamination-based (e.g., using words like
disgusting, unhygienic, unsanitary) followed by avoiding smell.
Before any prompting about environmental concerns, always
flushers mentioned that water conservation did not seem like a
sufficient reasons to encounter urine in the home toilet. The most
common open-ended response for not always flushing was to save
water, either for environmental or financial reasons. Even among
occasional flushers, participants mentioned that the presence of
others (e.g., partners, roommates, guests) influenced when they
decided to flush.
3.3. Influences on current and future flushing behaviors
Descriptive statistics revealed that social norms surrounding
cleanliness (i.e., embarrassment and expectations that guests do
not want to encounter urine left in a toilet at home) were the most
agreed upon reasons for flushing among the entire sample (all
show >84% agreement). Being taught to always flush (87% agreement) and the habitual nature of flushing (80% agreement) were
also predominant behavioral motivations. The smell of urine (81%
agreement) was a stronger elicitor of disgust compared to the sight
of urine (60% agreement).
As expected, flushing frequency and willingness to flush less
were negatively correlated (r ¼ 0.69, p < 0.0001). Flushing frequency was positively related to all 17 flushing reasons (see
Appendix B) including the belief that reduced flushing is a sacrifice,
disgust sensitivity, and the drop in bucket concept. Flushing frequency was negatively related to drought risk perception/experience and willingness to sacrifice via reduced flushing. Age and male
gender were negatively correlated with flushing frequency (both
r ¼ 0.08; p < 0.01). Political ideology (higher numbers denote
conservative ideology) was positively correlated with flushing
frequency (r ¼ 0.07; p < 0.05). Willingness to flush less was related
to all the same independent variables (except age) as flushing frequency but in the opposite direction (i.e., positive relationships
were negative and vice versa).
Multiple regressions revealed explanatory factors for a model
explaining flushing frequency (sum of squares ¼ 576.86, df ¼ 5,
R2 ¼ 0.73; Table 2) that consisted of habit, sight-related urine
disgust, and willingness to sacrifice via reduced flushing. Similarly,
the model explaining willingness to flush less (sum of
squares ¼ 723.44, df ¼ 5, R2 ¼ 0.63; Table 2) consisted of the same
three variables (habit, sight-related urine disgust, and willingness
to sacrifice) plus drought risk perceptions and belief that reduced
flushing requires a personal sacrifice.
3.4. Always flushers versus occasional flushers
Participants who always flushed versus occasional flushers
differed in their self-reported toilet behaviors and their motivations
for flushing (see Fig. 1). Always and occasional flushers significantly
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M.L. Lute et al. / Journal of Environmental Psychology 43 (2015) 105e111
Table 1
Top five open-ended reasons for always or occasionally flushing (percentages calculated within each group).
Reason for always flushing (n ¼ 638)
%
Reason for occasionally flushing (n ¼ 370)
%
Fear of contamination
Smell
Social norms/manners
Maintain clean toilet
Taught/habit
57
42
25
18
10
Save water
Flushing in presence of others
Clear urine/hydrated, thus not necessary
Save money
Forget to flush
43
31
23
12
10
Table 2
Regressions predicting flushing frequency and willingness to flush less in the future.
Parameter
Flushing
frequency
Willingness to
flush less
B
SE
B
SE
Intercept
Habit
Drought risk perceptions
Reduced flushing is sacrifice
Sight-related disgust
Willingness to sacrifice
2.09**
0.57**
0.006
0.008
0.05**
0.08**
0.11
0.01
0.01
0.01
0.01
0.02
3.30**
0.42**
0.07*
0.12**
0.09**
0.37**
0.15
0.02
0.02
0.02
0.02
0.03
*p ¼ 0.001 **p < 0.0001.
differed by every measure of willingness to sacrifice (composite
willingness to sacrifice: t ¼ 13.37; p < 0.0001); occasional flushers
showed greater willingness to sacrifice for the environment
(X ¼ 4.00) than always flushers (X ¼ 3.27). Always flushers showed
significantly greater belief that flushing less would not be worthwhile because of others' lack of compliance (i.e., drop in bucket
concept; X ¼ 2.79) compared to occasional flushers (X ¼ 2.24;
t ¼ 7.85; p < 0.0001). Always and occasional flushers significantly
differed by overall drought-related risk perception (composite risk
perception: t ¼ 2.65; p < 0.01) and specifically by two items from
the overall risk perception index: believing drought to be a serious
problem (t ¼ 4.17; p < 0.0001) and living in a drought prone area
(t ¼ 2.36; p < 0.02). Occasional flushers showed greater droughtrelated risk perception (X ¼ 2.45) than always flushers (X ¼ 2.28).
We asked participants to imagine they had walked into their
Fig. 1. Mean agreement for flushing reasons differ between always and occasional
flushers. Error bars indicate standard errors.
bathroom at home and what they would typically do if they
encountered urine in their toilet. Overall, 68% of participants reported that they would flush first when encountering a guest's
urine. About 50% of participants reported that they would flush first
when encountering a significant other's urine. Twenty-eight
percent reported that they would flush first when encountering
their own urine. Always and occasional flushers significantly
differed in their responses to each scenario (own urine: t ¼ 17.00;
significant other's urine: t ¼ 13.35; guest's urine: t ¼ 9.09; all
p < 0.0001; see Fig. 2).
3.5. Actual versus perceived water use
Participants estimated that an average flush uses 3.6 gallons
(std. dev. ¼ 22.69; median ¼ 2), which accurately reflects common
toilet models found throughout the U.S. Overall, participants
perceived that the average American uses 39.5 gallons of water per
day indoors (std. dev. ¼ 58.77; median ¼ 20) when in reality
Americans average about 69.3 gallons per day indoors (Mayer et al.,
1999). Overall, participants underestimated their own water use to
a larger degree, indicating they use on average 29.2 gallons per
person per day indoors (std. dev. ¼ 41.03; median ¼ 15).
4. Discussion
Results highlight four main barriers to reduced flushing among
our sample of participants: disgust, habit, social norms, and
insufficient pro-environmental motivation, all related to increased
flushing. Below we address each of these barriers to water conservation via reduced flushing and highlight literature that suggests
how these barriers might be overcome. Identifying specific barriers
to decreased flushing after urination at home will inform efforts to
increase household water conservation.
Results suggest that disgust sensitivity leads to increased
flushing. Urine left in the toilet, especially the smell of urine, may
trigger contamination fears among those who are disgust sensitive.
Anecdotally, open-ended responses suggest urine may have
magical contagion properties (Haidt et al., 1994) for some participants. For example, some participants stated “Not flushing the
toilet can cause breathing issues and the spread of unwanted
germs, bacteria, and other potentially hazardous chemicals, odors,
and microorganisms,” and “flushing urine every time decreases the
risk of disease in the air.” In other words, some always flushers
perceived that unsanitary elements of urine can transfer beyond
the toilet bowl and contaminate the rest of the bathroom, other
areas, and even air in the home. Additionally, urine of unrelated
others may be considered more disgusting (see Fig. 2), a finding
supported by the broader disgust literature (Olatunji et al., 2009,
2012). Disassociating urine with disgust among those sensitive
could include technical fixes that eliminate disgust-eliciting factors,
such as deodorizing pouches that mask the smell of urine in the
bathroom. Psychological approaches (e.g., changing attitudes about
urine) may also successfully dissociate urine with disgust. Research
on disgust in general and in relation to recycled water provides
evidence for the intuitive nature of contamination-based disgust
M.L. Lute et al. / Journal of Environmental Psychology 43 (2015) 105e111
109
Fig. 2. When presented with the scenario of encountering urine left in a home toilet, always and occasional flushers showed similar patterns but differed in the degree to which
they would flush before using the toilet. Percentage agreement on flushing first increases with less familiar sources of urine (from own urine to guest's urine).
and avoidance behaviors (Rozin et al., 2015; Tsao & McKay, 2004).
Cognitive processing may help some individuals overcome intuitive
processing and heuristics that lead one to react to urine with
disgust. Communication interventions that address urine-related
risk perceptions and frame urine as sterile and rarely infectious
may decrease disgust sensitivity (Rozin et al., 2015). Repeated
exposure to urine in the toilet of friends and family may function as
a sort of phobia treatment through desensitization for disgust
sensitive individuals (Olatunji, Forsyth, & Cherian, 2007; Rachman,
2004).
We found evidence that most individuals in our sample were
taught to flush every time they urinated, which resulted in a
habitual and automatic behavior. Yet we also found evidence that
the occasional flushers in our sample overcame the habit through
motivations to save water and money. Drought experience and risk
perceptions also related to water saving motivations. Interventions
that successfully motivate always flushers to consider drought
conditions, financial benefits, and pro-environmental norms may
lead to increased water conservation in American households. Like
disgust, habit is intuitive; making flushing a more cognitive
behavior through increased salience could help change flushing
habits. Individuals who have recently read information about
saving water through reduced flushing could think twice the next
time they urinate and behave in accordance pro-environmental
motivations such as altruistic or biospheric values (Dahlstrand &
Biel, 1997; Stern, 2000).
Both always and occasional flushers were influenced by social
norms to flush after urinating as evidenced by high agreement with
statements about embarrassment if a guest encountered urine,
others' expectations of not encountering urine, and that one should
flush. The pressure of social norms was also evident in open-ended
responses such as “With splash back being a threat to anyone, I'd
rather not be the cause” and “if you don't flush, there will be some
unhappy people waiting for you!” Always flushers were more
influenced by such social norms, while occasional flushers displayed greater willingness to sacrifice for the environment by
flushing less. Shifting social norms from emphasizing cleanliness to
the environment such that people accept and expect urine in toilets
would reduce flushing in both groups. Norm shifts can occur via
intuitive pathways; simply observing that others do not always
flush may result in behavior change toward new habits that favor
water conservation over consumption (Gregory & Di Leo, 2003).
Research on moral reasoning suggests additional ways in which
social norms might be changed over time (Paxton & Greene, 2010;
Sacchi, Riva, Brambilla, & Grasso, 2014). A discussion with a
respected friend can cause an individual to reason through the
moral implications of their actions and encourage pro-social and
pro-environmental behaviors (Joireman, Lasane, Bennett, Richards,
& Solaimani, 2001; Stern, 2000; Stern, Dietz, Abel, Guagnano, &
Kalof, 1999).
Results suggest a lack of pro-environmental motivations among
this sample, particularly among always flushers. Supporting the
quantitative results, some examples of open-ended responses from
always flushers include: “I understand it's a waste of water, but I
can't stand the idea of pee just sitting in a toilet all day” and “there
are endless methods of conserving water that don't sacrifice
cleanliness and sanitation.” Motivations for water conservation
behaviors included drought risk and water price increases.
Increasing perceptions that environmental quality (e.g., water
quantity and quality) is a public good may increase willingness to
sacrifice for the environment (Stern, 2000). Similarly, raising
awareness of adverse consequences in relation to drought and
climate change may encourage pro-environmental motivations and
concomitant behaviors like water conservation (Schwartz, 2011;
Stern et al., 1999). Importantly, messages aimed at raising awareness should also aim to increase self-efficacy that an individual's
flushing behavior is not simply a “drop in the bucket” and thus
worth the personal sacrifice in order to conserve water on a broader
nchez, Rodríguez-Sa
nchez, &
and meaningful scale (Sarabia-Sa
Hyder, 2014).
Findings indicate that self-enhancement biases may influence
perceptions of water use (Brown, 1986). Although participants on
average accurately estimated the amount of water used in a single
flush, both always and occasional flushers underestimated their
overall daily water use. Note that, although we do not have actual
measures of participants' water use, the mean estimate of own use
among our sample was 29 gallons per person per day for indoor
water use, which is far less than what the average Americans uses
based on available data of 69.3 gallons per person per day (Mayer
et al., 1999), and thus this perception is likely to indicate that
many individuals in our sample are underestimating their own use.
Underestimating water use may inhibit conservation of water to
the extent that individuals already consider themselves water
conservative. Addressing misconceptions through improved feedback of water use (e.g., more illustrative and easy to interpret information on water bills) or other interventions may address selfenhancement bias.
Overall, willingness to flush less was low in our sample; only
replacing current toilet with a composting or dual flush toilet were
less supported activities. Interestingly, participants were open to
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M.L. Lute et al. / Journal of Environmental Psychology 43 (2015) 105e111
toilet inserts more than checking for leaks, perhaps because the
former requires little effort or mechanical knowledge; once a toilet
insert is simply placed in the tank, no further effort is required.
Based on previous work showing that people think of curtailment
rather than efficiency improvements as effective actions to
decrease water use (Attari, 2014), we expected low willingness to
replace current toilets with more efficient fixtures. Although
flushing less requires no expertise, costs nothing, and actually saves
money, such curtailment behaviors may be unpopular due to
disgust and norms about cleanliness. Participants may be more
willing to make efficiency improvements even if they require some
cost or effort (e.g., checking for leaking, toilet inserts) rather than
encounter urine in home toilets. Given high willingness and low
current rates of toilet inserts, campaigns such as Drop-A-Brick
(http://www.projectdropabrick.org/) may have potential to increase water conservation and meet water rationing goals in time
of extreme short-term drought.
Given the low willingness to flush less, a majority of participants
will require intrinsic and/or extrinsic motivations to reduce flushing. Theories in psychological and economic sciences offer several
ways to inform behavior change around toilet use. For example,
rational choice theory would suggest that economic incentives in
the form of increased water prices (i.e., extrinsic motivation) might
best encourage reduced flushing. On the other hand, the norm
activation model points to the role of personal and moral norms
(i.e., intrinsic motivation) as a potential major driver in proenvironmental behaviors, such as reduced flushing to conserve
water (Chan & Bishop, 2013; Stern et al., 1999). Shifting personal
norms toward water conservation may require making salient the
causes and consequences of water scarcity and the role of individual choices (Joireman et al., 2001; Stern, 2000). If the average
American is similar to our average participant, a major shift in
norms regarding flushing behavior is in order. Encouraging such a
shift, especially over short time frames, will be a major challenge to
those aiming to address regional droughts, such as the current
drought in California. High-profile media coverage of drought and
the associated images that evoke empathy for those suffering (not
only people, but perhaps also entities in nature, such as wildlife or
ecosystems) may serve to increase awareness of consequences,
which could be a first step toward motivating water conservation.
Lastly, even after major shifts, behavioral maintenance is required
to solidify new habits, in our case “letting it mellow” (Prochaska,
Redding, & Evers, 2008).
Increasing willingness to flush less at home will also require
long-term efforts to shift social norms from emphasizing perceived
cleanliness to pro-environmental motivations. Until such a paradigm shift in American bathroom norms occurs, encouraging
decreased flushing may be a challenge for many Americans who
were not brought up to do so without external motivations such as
drought or price hikes. Technical fixes such as toilet tank inserts
and deodorizing pouches may circumvent issues of habit, disgust,
and social norms. Future research could measure interventions
aimed at behavior change and explore flushing behaviors outside
the home.
Our study fits into the broader literature that explores a variety
of well-established, habitual, pro-environmental behaviors and
suggests techniques for overcoming barriers (Gifford, 2011). For
example, recycling has dramatically increased over the past decades due to a variety of interventions, such as changing judgments
of the importance of recycling (Sherman, Ahlm, Berman, & Lynn,
1978). With regard to littering, Cialdini, Reno, and Kallgren (1990)
showed the importance of norm activation in changing littering
decisions. In the domain of energy use, Pallak, Cook, and Sullivan
(1980) showed that public commitment significantly decreased
residential energy use. Finally, in relation to disgust, techniques
that emphasize information and behavioral modeling have been
successful in getting people to pick up after their dogs (Jason, Zolik,
& Matese, 1979). Although interventions such as these could have
an impact on flushing, this behavior presents an additional,
important challenge. While the other behaviors are mainly in the
public domain, flushing is very much a private activity that is selfregulated. Thus, any successful interventions must achieve internalized changes in the norms and attitudes that drive such
behaviors.
Acknowledgments
This work was supported by the School of Public and Environmental Affairs and the Vincent and Elinor Ostrom Workshop in
Political Theory and Policy Analysis at Indiana University. A special
thanks to our participants, two anonymous reviewers for helpful
comments, and Jared J. Eichmiller for assistance with coding openended responses.
Appendix A. Supplementary data
Supplementary data related to this article can be found at http://
dx.doi.org/10.1016/j.jenvp.2015.06.003.
References
Ansolabehere, S., & Schaffner, B. F. (2014). Does survey mode still matter? Findings
from a 2010 multi-mode comparison. Political Analysis, 22(3), 285e303. http://
dx.doi.org/10.1093/pan/mpt025.
Attari, S. Z. (2014). Perceptions of water use. Proceedings of the National Academy of
Sciences of the United States of America, 111(14), 5129e5134. http://dx.doi.org/
10.1073/pnas.1316402111.
Attari, S. Z., Krantz, D. H., & Weber, E. U. (2014). Reasons for cooperation and defection in real-world social dilemmas. Judgment and Decision Making, 9(4),
316e334.
Bell, J., Huber, J., & Viscusi, W. K. (2011). Survey mode effects on valuation of
environmental goods. International Journal of Environmental Research and Public
Health, 8(4), 1222e1243. http://dx.doi.org/10.3390/ijerph8041222.
Brown, J. (1986). Evaluations of self and others: self-enhancement biases in social
judgments. Social Cognition, 4(4), 353e376.
Brusca, R. C., Wiens, J. F., Meyer, W. M., Eble, J., Franklin, K., Overpeck, J. T., et al.
(2013). Dramatic response to climate change in the Southwest: Robert Whittaker's 1963 Arizona Mountain plant transect revisited. Ecology and Evolution, 3,
3307e3319. http://dx.doi.org/10.1002/ece3.720.
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's mechanical turk: a new
source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3e5. http://dx.doi.org/10.1177/1745691610393980.
Chan, L., & Bishop, B. (2013). A moral basis for recycling: extending the theory of
planned behaviour. Journal of Environmental Psychology, 36(2013), 96e102.
http://dx.doi.org/10.1016/j.jenvp.2013.07.010.
Cialdini, R. B., Reno, R. R., & Kallgren, C. a (1990). A focus theory of normative
conduct: recycling the concept of norms to reduce littering in public places.
Journal of Personality and Social Psychology, 58(6), 1015e1026. http://dx.doi.org/
10.1037/0022-3514.58.6.1015.
Cook, B. I., Ault, T. R., & Smerdon, J. E. (2015). Unprecedented 21st century drought
risk in the American Southwest and Central Plains. Science Advances,
1(e1400082), 1e7.
Dahlstrand, U., & Biel, A. (1997). Pro-environmental habits: propensity levels in
behavioral change1. Journal of Applied Social Psychology, 27, 588e601. http://
dx.doi.org/10.1111/j.1559-1816.1997.tb00650.x.
Davis, J. L., Le, B., & Coy, A. E. (2011). Building a model of commitment to the natural
environment to predict ecological behavior and willingness to sacrifice. Journal
of Environmental Psychology, 31(3), 257e265. http://dx.doi.org/10.1016/
j.jenvp.2011.01.004.
Etcheverry, P. E., & Le, B. (2005). Thinking about commitment: accessibility of
commitment and prediction of relationship persistence, accommodation, and
willingness to sacrifice. Personal Relationships, 12(2005), 103e123. http://
dx.doi.org/10.1111/j.1350-4126.2005.00104.x.
Gifford, R. (2011). The dragons of inaction: pychological barriers that limit climate
change mitigation and adaptation. The American Psychologist, 66(4), 290e302.
http://dx.doi.org/10.1037/a0023566.
Gilg, A., & Barr, S. (2006). Behavioural attitudes towards water saving? Evidence
from a study of environmental actions. Ecological Economics, 57(3), 400e414.
http://dx.doi.org/10.1016/j.ecolecon.2005.04.010.
Gleick, P. H. (1996). Basic water requirements for human activities: meeting basic
needs. Water International, 21(2), 83e92.
Grant, S. B., Saphores, J., Feldman, D. L., Hamilton, A. J., Fletcher, T. D., Cook, P. L. M.,
M.L. Lute et al. / Journal of Environmental Psychology 43 (2015) 105e111
et al. (2012). Taking the “Waste” Out of “Wastewater” for human water security
and ecosystem sustainability. Science, 337, 681e686.
Gregory, G., & Di Leo, M. (2003). Repeated behavior and environmental psychology:
the role of personal involvement and habit formation in explaining water
consumption. Journal of Applied Social Psychology, 33(6), 1261e1296.
Haidt, J., McCauley, C., & Rozin, P. (1994). Individual differences in sensitivity to
disgust: a scale sampling seven domains of disgust elicitors. Personality and
Individual Differences, 16(5), 701e713. http://dx.doi.org/10.1016/0191-8869(94)
90212-7.
Ilemobade, A. A., Olanrewaju, O. O., & Griffioen, M. L. (2012). Greywater reuse for
toilet flushing at a university academic and residential building. Water South
Africa, 39(3), 351e360.
Inskeep, B., & Attari, S. Z. (2013). The water short list: the most effective actions U.S.
households can take to curb water use. Environment: Science and Policy for
Sustainable
Development,
56(4),
4e15.
http://dx.doi.org/10.1080/
00139157.2014.922375.
Jason, L. A., Zolik, E. S., & Matese, F. J. (1979). Prompting dog owners to pick up dog
droppings. American Journal of Community Psychology, 7(3), 339e351. http://
dx.doi.org/10.1007/BF00890697.
Joireman, J., Lasane, T. P., Bennett, J., Richards, D., & Solaimani, S. (2001). Integrating
social value orientation and the consideration of future consequences within
the extended norm activation model of proenvironmental behaviour. The British
Journal of Social Psychology, 40, 133e155.
Kenny, J., Barber, N., Hutson, S., Linsey, K., Lovelace, J., & Maupin, M. (2009). Estimated use of water in the United States in 2005 (p. 1344). U.S. Geological Survey
Circular.
Landis, J., & Koch, G. (1977). The measurement of observer agreement for categorical
data. Biometrics, 33, 159e174.
€ m, A.-L. (2005). Perceptions of school toilets as a cause for
Lundblad, B., & Hellstro
irregular toilet habits among schoolchildren aged 6 to 16 years. The Journal of
School Health, 75(4), 125e128.
Mayer, P., DeOreo, W., Opitz, E., Kiefer, J., Davis, W., Dziegielewski, B., et al. (1999).
Residential end uses of water (Denver).
Olatunji, B. O., Adams, T., Ciesielski, B., David, B., Sarawgi, S., & Broman-Fulks, J.
(2012). The three domains of disgust scale: factor structure, psychometric
properties, and conceptual limitations. Assessment, 19(2), 205e225. http://
dx.doi.org/10.1177/1073191111432881.
Olatunji, B. O., Forsyth, J. P., & Cherian, A. (2007). Evaluative differential conditioning of disgust: a sticky form of relational learning that is resistant to
extinction. Journal of Anxiety Disorders, 21(6), 820e834. http://dx.doi.org/
10.1016/j.janxdis.2006.11.004.
Olatunji, B. O., Haidt, J., McKay, D., & David, B. (2008). Core, animal reminder, and
contamination disgust: three kinds of disgust with distinct personality,
behavioral, physiological, and clinical correlates. Journal of Research in Personality, 42(5), 1243e1259. http://dx.doi.org/10.1016/j.jrp.2008.03.009.
Olatunji, B. O., Moretz, M. W., McKay, D., Bjorklund, F., de Jong, P. J., Haidt, J., et al.
(2009). Confirming the three-factor structure of the disgust scaleerevised in
eight countries. Journal of Cross-Cultural Psychology, 40(2), 234e255. http://
dx.doi.org/10.1177/0022022108328918.
Pallak, M., Cook, D., & Sullivan, J. (1980). Commitment and energy conservation. In
L. Bickman (Ed.), Applied social psychology annual (pp. 235e253).
Paolacci, G., Chandler, J., & Stern, L. N. (2010). Running experiments on Amazon
mechanical turk 2 Amazon mechanical turk. Judgment and Decision Making,
5(5), 411e419.
Paxton, J. M., & Greene, J. D. (2010). Moral reasoning: hints and allegations. Topics in
http://dx.doi.org/10.1111/j.1756Cognitive
Science,
2(3),
511e527.
8765.2010.01096.x.
111
Prochaska, J., Redding, C., & Evers. (2008). The transtheoretical model and stages of
change. In Health behavior and health education (pp. 97e121).
Rachman, S. (2004). Fear of contamination. Behaviour Research and Therapy, 42(11),
1227e1255. http://dx.doi.org/10.1016/j.brat.2003.10.009.
Randolph, B., & Troy, P. (2008). Attitudes to conservation and water consumption.
Environmental Science & Policy, 11(5), 441e455. http://dx.doi.org/10.1016/
j.envsci.2008.03.003.
Rozin, P., Haddad, B., Nemeroff, C., & Slovic, P. (2015). Psychological aspects of the
rejection of recycled water: contamination, purification and disgust. Judgment
and Decision Making, 10(1), 50e63.
Sacchi, S., Riva, P., Brambilla, M., & Grasso, M. (2014). Moral reasoning and climate
change mitigation: the deontological reaction toward the market-based
approach. Journal of Environmental Psychology, 38(2014), 252e261. http://
dx.doi.org/10.1016/j.jenvp.2014.03.001.
nchez, F. J., Rodríguez-Sa
nchez, C., & Hyder, A. (2014). The role of perSarabia-Sa
sonal involvement, credibility and efficacy of conduct in reported water conservation behaviour. Journal of Environmental Psychology, 38(2014), 206e216.
http://dx.doi.org/10.1016/j.jenvp.2014.02.003.
Schwartz, S. H. (2011). Awareness of consequences and the influence of moral
norms on interpersonal behavior. 31(4), 355e369.
Sherman, S. J., Ahlm, K., Berman, L., & Lynn, S. (1978). Contrast effects and their
relationship to subsequent behavior. Journal of Experimental Social Psychology,
14(4), 340e350. http://dx.doi.org/10.1016/0022-1031(78)90030-6.
Shove, E. (2003). Converging conventions of comfort, cleanliness and convenience.
Journal of Consumer Policy, 26(4), 395e418. http://dx.doi.org/10.1023/A:
1026362829781.
Smith, E. R., & DeCoster, J. (2000). Dual-process models in social and cognitive
psychology: conceptual integration and links to underlying memory systems.
Personality and Social Psychology Review, 4, 108e131. http://dx.doi.org/10.1207/
S15327957PSPR0402_01.
Stern, P. C. (2000). Toward a coherent theory of environmentally significant
behavior. Journal of Social Issues, 56(3), 407e424.
Stern, P. C., Dietz, T., Abel, T., Guagnano, G. A., & Kalof, L. (1999). A value-belief-norm
theory of support for social movements : the case of environmentalism. Human
Ecology Review, 6(2), 81e97.
Tsao, S. D., & McKay, D. (2004). Behavioral avoidance tests and disgust in contamination fears: distinctions from trait anxiety. Behaviour Research and Therapy,
42(2), 207e216. http://dx.doi.org/10.1016/S0005-7967(03)00119-0.
Tybur, J. M., Lieberman, D., & Griskevicius, V. (2009). Microbes, mating, and morality: individual differences in three functional domains of disgust. Journal of
Personality and Social Psychology, 97(1), 103e122. http://dx.doi.org/10.1037/
a0015474.
U.S. Census 2010. (2010). Retrieved from http://factfinder2.census.gov.
Weber, E., Blais, A., & Betz, N. (2002). A domain-specific risk-attitude scale:
measuring risk perceptions and risk behaviors. Journal of Behavioral Decision
Making, 15, 263e290. http://dx.doi.org/10.1002/bdm.414. August.
Willis, R. M., Stewart, R. A., Panuwatwanich, K., Williams, P. R., & Hollingsworth, A. L.
(2011). Quantifying the influence of environmental and water conservation
attitudes on household end use water consumption. Journal of Environmental
Management,
92(8),
1996e2009.
http://dx.doi.org/10.1016/
j.jenvman.2011.03.023.
World Heath Organization. (2006). Guidelines for the safe use of wastewater,
excreta and greywater. In Volume I e policy and regulatory aspects (Vol. 1).
Zaval, L., Keenan, E. A., Johnson, E. J., & Weber, E. U. (2014). How warm days increase
belief in global warming. Nature Climate Change, 4(2), 143e147. http://
dx.doi.org/10.1038/nclimate2093.