| Title |
Classifying Residents who use Landscape Irrigation: Implications for Encouraging Water Conservation Behavior
|
|---|---|
| Published in |
Environmental Management, May 2016
|
| DOI | 10.1007/s00267-016-0706-2 |
| Pubmed ID | |
| Authors |
Laura A. Warner, Alexa J. Lamm, Joy N. Rumble, Emmett T. Martin, Randall Cantrell |
| Abstract |
Large amounts of water applied as urban irrigation can often be reduced substantially without compromising esthetics. Thus, encouraging the adoption of water-saving technologies and practices is critical to preserving water resources, yet difficult to achieve. The research problem addressed in this study is the lack of characterization of residents who use urban irrigation, which hinders the design of effective behavior change programs. This study examined audience segmentation as an approach to encouraging change using current residential landscape practices. K-means cluster analysis identified three meaningful subgroups among residential landscape irrigation users (N = 1,063): the water considerate majority (n = 479, 45 %), water savvy conservationists (n = 378, 36 %), and unconcerned water users (n = 201, 19 %). An important finding was that normative beliefs, attitudes, and perceived behavioral control characteristics of the subgroups were significantly different with large and medium practical effect sizes. Future water conservation behaviors and perceived importance of water resources were also significantly different among subgroups. The water considerate majority demonstrated capacity to conserve, placed high value on water, and were likely to engage in behavior changes. This article contributes to the literature on individuals who use residential landscape irrigation, an important target audience with potential to conserve water through sustainable irrigation practices and technologies. Findings confirm applicability of the capacity to conserve water to audience segmentation and extend this concept by incorporating perceived value of water resources and likelihood of conservation. The results suggest practical application to promoting residential landscape water conservation behaviors based on important audience characteristics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Estonia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 114 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 18% |
| Researcher | 20 | 17% |
| Student > Master | 19 | 16% |
| Student > Bachelor | 12 | 10% |
| Other | 5 | 4% |
| Other | 15 | 13% |
| Unknown | 24 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 16% |
| Social Sciences | 14 | 12% |
| Environmental Science | 12 | 10% |
| Economics, Econometrics and Finance | 10 | 9% |
| Agricultural and Biological Sciences | 9 | 8% |
| Other | 25 | 22% |
| Unknown | 27 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2016.
All research outputs
#946,994
of 25,374,917 outputs
Outputs from Environmental Management
#47
of 1,914 outputs
Outputs of similar age
#16,956
of 327,276 outputs
Outputs of similar age from Environmental Management
#3
of 18 outputs
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So far Altmetric has tracked 1,914 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 97% of its peers.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.