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Perceptions of electricity use at home and in the workplace
Creator
Spence, A, University of Nottingham
Study number / PID
853114 (UKDA)
10.5255/UKDA-SN-853114 (DOI)
Data access
Restricted
Series
Not available
Abstract
Data comprises: demographics, including whether participants have managerial responsibitilites, size and sector of organisation worked for; anticipated affect; preferred sanctions for individuals who overuse energy; behavioural intentions for energy use; motivations to save energy at work and at home; concern about climate change and energy security; experience of black outs.
Reducing energy use is a key way in which we can help to reduce carbon emissions in the UK. Communal environments, such as shared offices, consume a large amount of energy. It is therefore important to examine people's perceptions and motivations to use and save energy. This study examines motivations to save energy at work and at home and the likely reactions to different cooperative scenarios around energy use. This project will investigate innovative ways of dividing up and representing energy use in shared buildings so as to motivate occupants to save energy. Smart meters (energy monitors that feed information back to suppliers) are currently being introduced in Britain and around the world; the government aims to have one in every home and business in Britain by 2019. One reason for this is to provide people with better information about their energy use to help them to save energy. Providing energy feedback can be problematic in shared buildings, and here we focus on workplaces, where many different people interact and share utilities and equipment within that building. It is often difficult to highlight who is responsible for energy used and difficult therefore to divide up related costs and motivate changes in energy usage. We propose to focus on these challenges and consider the opportunities that exist in engaging whole communities of people in reducing energy use.
This project is multidisciplinary, drawing primarily on computer science skills of joining up data from different sources and in examining user interactions with technology, design skills of developing innovative and fun...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
12/08/2016 - 20/08/2017
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
We conducted this national survey of the United Kingdom using data obtained from an online panel hosted by a social research company (Final N = 1585) between 12 August and 20 August 2016. We gained a quota sample approximately representative of the UK in terms of age, gender, social grade, and location. Quotas for sampling were set according to data obtained from the Office of National Statistics. The online panel was an actively managed panel recruited through sources including newsletter campaigns, banner placements and affiliate networks; the panel used a double opt-in email verification to ensure that participants are interested in panel membership and are contactable. Quotas achieved were monitored daily while the survey was active and further emails were sent to specific panellist groups to achieve a broadly representative quota. Participants were provided with points for their participation in the survey, which could be used to gain shopping vouchers. Recruitment emails provided participants with a broad description of the study as a “research study to look at people’s attitudes and beliefs about the use of energy in the workplace”; details of estimated completion time (15-20 minutes) and incentives points offered were also provided. Participants were first randomly assigned to one of six scenarios about a situation where they shared an office with other people and they had to reduce their energy use at work. In half of the scenarios, the office had an energy display that shows average usage, and in half of the scenarios, an energy display that showed individual usage with names. In a third of the scenarios, there was no Free rider (i.e., person who uses more than the others), in another third, there was a Free rider, and in the last third of the scenarios, the free-rider is legitimate (they have a legitimate explanation for using more). Then participants were asked to fill in questions about how they would react in such a scenario. The rest of the questionnaire asks about motivations to save energy at home and at work, behaviour intentions, concern about climate change, and experience of blackouts.
Funding information
Grant number
EP/K002589/1
Access
Publisher
UK Data Service
Publication year
2018
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service.