Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover.
A key component of behavior-based energy conservation programs is the identification of target behaviors. A common approach is to target behaviors with the greatest energy-saving potential. The concept of behavioral spillover introduces further considerations, namely that adoption of one energy-savi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0268879 |
| _version_ | 1811287445366374400 |
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| author | Angela Sanguinetti Claire McIlvennie Marco Pritoni Susan Schneider |
| author_facet | Angela Sanguinetti Claire McIlvennie Marco Pritoni Susan Schneider |
| author_sort | Angela Sanguinetti |
| collection | DOAJ |
| description | A key component of behavior-based energy conservation programs is the identification of target behaviors. A common approach is to target behaviors with the greatest energy-saving potential. The concept of behavioral spillover introduces further considerations, namely that adoption of one energy-saving behavior may increase (or decrease) the likelihood of other energy-saving behaviors. This research aimed to identify and describe household energy- and water-saving measure classes within which positive spillover is likely to occur (e.g., adoption of energy-efficient appliances may correlate with adoption of water-efficient appliances), and explore demographic and psychographic predictors of each. Nearly 1,000 households in a California city were surveyed and asked to report whether they had adopted 75 different energy- and/or water-saving measures. Principal Component Analysis and Network Analysis based on correlations between adoption of these diverse measures revealed and characterized eight water-energy-saving measure classes: Water Conservation, Energy Conservation, Maintenance and Management, Efficient Appliance, Advanced Efficiency, Efficient Irrigation, Green Gardening, and Green Landscaping. Understanding these measure classes can help guide behavior-based energy program developers in selecting target behaviors and designing interventions. |
| first_indexed | 2024-04-13T03:18:29Z |
| format | Article |
| id | doaj.art-77c8574e900b4b01937129a313806906 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T03:18:29Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-77c8574e900b4b01937129a3138069062022-12-22T03:04:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01177e026887910.1371/journal.pone.0268879Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover.Angela SanguinettiClaire McIlvennieMarco PritoniSusan SchneiderA key component of behavior-based energy conservation programs is the identification of target behaviors. A common approach is to target behaviors with the greatest energy-saving potential. The concept of behavioral spillover introduces further considerations, namely that adoption of one energy-saving behavior may increase (or decrease) the likelihood of other energy-saving behaviors. This research aimed to identify and describe household energy- and water-saving measure classes within which positive spillover is likely to occur (e.g., adoption of energy-efficient appliances may correlate with adoption of water-efficient appliances), and explore demographic and psychographic predictors of each. Nearly 1,000 households in a California city were surveyed and asked to report whether they had adopted 75 different energy- and/or water-saving measures. Principal Component Analysis and Network Analysis based on correlations between adoption of these diverse measures revealed and characterized eight water-energy-saving measure classes: Water Conservation, Energy Conservation, Maintenance and Management, Efficient Appliance, Advanced Efficiency, Efficient Irrigation, Green Gardening, and Green Landscaping. Understanding these measure classes can help guide behavior-based energy program developers in selecting target behaviors and designing interventions.https://doi.org/10.1371/journal.pone.0268879 |
| spellingShingle | Angela Sanguinetti Claire McIlvennie Marco Pritoni Susan Schneider Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover. PLoS ONE |
| title | Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover. |
| title_full | Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover. |
| title_fullStr | Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover. |
| title_full_unstemmed | Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover. |
| title_short | Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover. |
| title_sort | two or more for one identifying classes of household energy and water saving measures to understand the potential for positive spillover |
| url | https://doi.org/10.1371/journal.pone.0268879 |
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