Ben Anderson “Using Time Use Data To Trace 'Energy Practices' Through Time.”
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The document discusses trends in energy-related activities and practices over time based on time use survey data from 1974 to 2005. It analyzes 10 different activity classes and shows how the time spent on various activities has changed. For example, time spent on travel, media use, and cooking/eating has increased while time spent on domestic work and personal care has decreased. The document also examines trends for specific activities like food preparation in more detail, showing changes in the timing and duration of these practices.
![@DEMAND_CENTRE
@dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016
The timing of practices matter…
% respondents reporting activity per half hour in winter
(November 2000 - February 2001, 1031 households)
Source: Author’s calculations using UK Time Use Survey 2000/1
[http://discover.ukdataservice.ac.uk/catalogue/?sn=4504], weighted)
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Wash/dress self Cooking Dish washing Cleaning Laundry
Ironing Computer Reading TV Audio
Source: https://www.flickr.com/photos/stevendepolo/3761877701
Source:
https://upload.wikimedia.org/wikipedia/commons/9/96/R
ush_Hour_on_London_Bridge.jpg
"Drip Coffee Bangkok" by Takeaway - Own work. Licensed under CC
BY-SA 3.0 via Wikimedia Commons -
https://commons.wikimedia.org/wiki/File:Drip_Coffee_Bangkok.jp
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https://upload.wikimedia.org/wikipedia/commons/f/fa/Laundry_room
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UK Housing Energy Fact File
Graph 7a: HES average 24-hour electricity use profile for owner-occupied
homes, England 2010-11
Gas consumption
The amount of gas consumed in the UK varies dramatically between
households. The top 10% of households consume at least four times as
much gas as the bottom 10%.
60
Modelling to predict households’ en ergy
consumption – based on the property, household income and tenure – has
so far been able to explain less than 40% of this variation.
Gas use varies enormously from
household to household, and the
variation has more to do with
behaviour than how dwellings are
built.
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Heating
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Cooking
Lighting
Cold appliances
ICT
Audiovisual
Other
Unknown
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Ben Anderson “Using Time Use Data To Trace 'Energy Practices' Through Time.”
- 1. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 Ben Anderson @dataknut Energy & Climate Change Faculty of Engineering & Environment University of Southampton, UK 'Energy Practices’ Through Time Using Time Use Data
- 2. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1. Conceptions of DEMAND 2. Researching DEMAND using time use data 3. Activity classes: overall trends 4. Selected Activities: detailed trends 5. Concluding thoughts Today’s menu
- 3. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1. Conceptions of DEMAND 2. Researching DEMAND using time use data 3. Activity classes: overall trends 4. Selected Activities: detailed trends 5. Concluding thoughts Today’s menu
- 4. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 Conceptions of DEMAND Demanding Practices Variati on Normality & Need ? Infrastruct ures
- 5. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 The timing of practices matter… % respondents reporting activity per half hour in winter (November 2000 - February 2001, 1031 households) Source: Author’s calculations using UK Time Use Survey 2000/1 [http://discover.ukdataservice.ac.uk/catalogue/?sn=4504], weighted) 0% 10% 20% 30% 40% 50% 60% 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 %respondents Wash/dress self Cooking Dish washing Cleaning Laundry Ironing Computer Reading TV Audio Source: https://www.flickr.com/photos/stevendepolo/3761877701 Source: https://upload.wikimedia.org/wikipedia/commons/9/96/R ush_Hour_on_London_Bridge.jpg "Drip Coffee Bangkok" by Takeaway - Own work. Licensed under CC BY-SA 3.0 via Wikimedia Commons - https://commons.wikimedia.org/wiki/File:Drip_Coffee_Bangkok.jp g https://upload.wikimedia.org/wikipedia/commons/f/fa/Laundry_room _%28tv%C3%A4ttstuga%29.JPG UK Housing Energy Fact File Graph 7a: HES average 24-hour electricity use profile for owner-occupied homes, England 2010-11 Gas consumption The amount of gas consumed in the UK varies dramatically between households. The top 10% of households consume at least four times as much gas as the bottom 10%. 60 Modelling to predict households’ en ergy consumption – based on the property, household income and tenure – has so far been able to explain less than 40% of this variation. Gas use varies enormously from household to household, and the variation has more to do with behaviour than how dwellings are built. 0 100 200 300 400 500 600 700 800 00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 Heating Water heating Electric showers Washing/drying Cooking Lighting Cold appliances ICT Audiovisual Other Unknown Watts
- 6. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1. Conceptions of DEMAND 2. Researching DEMAND using time use data 3. Activity classes: overall trends 4. Selected Activities: detailed trends 5. Concluding thoughts Today’s menu
- 7. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 What’s a time use survey? BBC 1961 ONS 2005
- 8. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 ‘Episodes’ data availability Multinational Time Use Study www.timeuse.org/m tus Gershuny, Jonathan, Kimberly Fisher, Evrim Altintas, Alyssa Borkosky, Donna Dosman, Cara Fedick, Tyler Frederick, et al. 2012. ‘Multinational Time Use Study, Versions World 5.5.3, 5.80 and 6.0 (released October 2012)’. Oxford. http://www.eijtur.org/pdf/volumes/eIJTUR-10-1-6_Time_Pieces.pdf#page=90 Year survey began (survey id) Australia Austria France Germany Israel Italy Netherland s South Africa Spain United Kingdom USA No. No. No. No. No. No. No. No. No. No. No. 1965 221 1974 1491 14898 1975 81 788 1980 16667 1983 945 1985 2776 2921 1987 1533 1989 29973 1990 2299 1991 22554 4223 1992 2236 494 7514 1994 1199 1995 2692 1962 1997 4931 1998 14631 2351 2000 11851 1142 17248 2002 47381 2003 1361 2005 13265 4854 2008 6272 2009 17859
- 9. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 ‘1985’ Availability UK 2014-15 available soon!
- 10. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 And what do they tell us? Duration & sequences Clusters & co-presence Anderson, B (2016) DEMANDing Times, Paper prepared for DEMAND Centre Conference, Lancaster, 13-15 April 2016 Table 2: Example time-use data (MTUS, 1974 and 2000 samples) 1974 ID Date Day of week Episode start Episode end Main Secondary Location Mode of travel Child present Partner present 1 301279 14-Aug-74 Wednesday 04:00 05:30 sleep and naps no recorded act at own home not travelling could not be coded could not be coded 2 301279 14-Aug-74 Wednesday 05:30 06:00 wash, dress no recorded act at own home not travelling could not be coded could not be coded 3 301279 14-Aug-74 Wednesday 06:00 06:30 wash, dress listen to radio at own home not travelling could not be coded could not be coded 4 301279 14-Aug-74 Wednesday 06:30 07:00 meals or drinks listen to radio at own home not travelling could not be coded could not be coded 5 301279 14-Aug-74 Wednesday 07:00 07:30 travel to work no recorded act travelling other/unknown could not be coded could not be coded 6 301279 14-Aug-74 Wednesday 07:30 10:00 paid work no recorded act at workplace not travelling could not be coded could not be coded 7 301279 14-Aug-74 Wednesday 10:00 10:30 meals at work no recorded act at workplace not travelling could not be coded could not be coded 8 301279 14-Aug-74 Wednesday 10:30 13:30 paid work no recorded act at workplace not travelling could not be coded could not be coded 9 301279 14-Aug-74 Wednesday 13:30 14:00 meals at work no recorded act at workplace not travelling could not be coded could not be coded 10 301279 14-Aug-74 Wednesday 14:00 16:30 paid work no recorded act at workplace not travelling could not be coded could not be coded 2005 ID Date Day of week Episode start Episode end Main Secondary Location Mode of travel Child present Partner present 1 338122 25-Jun-05 Sunday 04:00 08:00 sleep and naps no recorded act at own home not travelling no no 2 338122 25-Jun-05 Sunday 08:00 08:20 wash, dress no recorded act at own home not travelling no yes 3 338122 25-Jun-05 Sunday 08:20 08:30 pet care no recorded act at own home not travelling no yes 4 338122 25-Jun-05 Sunday 08:30 08:40 food prep conversation at own home not travelling no yes 5 338122 25-Jun-05 Sunday 08:40 09:10 food prep no recorded act at own home not travelling no yes 6 338122 25-Jun-05 Sunday 09:10 09:20 meals or drinking conversation at own home not travelling no yes 7 338122 25-Jun-05 Sunday 09:20 09:50 meals or drinking no recorded act at own home not travelling no yes 8 338122 25-Jun-05 Sunday 09:50 10:00 Set/clear table no recorded act at own home not travelling no yes 9 338122 25-Jun-05 Sunday 10:00 10:20 Voluntary no recorded act travelling walk / other no yes 10 338122 25-Jun-05 Sunday 10:20 11:20 Worship no recorded act at place of worship not travelling no yes
- 11. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 But we have to be careful… 1974 1983/7 1995 2001 2005 CodeHarmonisation MTUS: 69 ‘harmonised’ activity codes 1974: 73 codes ‘1985’: 188 codes 1995: 190 codes 2001: 265 codes 2005: 30 codes
- 12. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 •73 codes 1974 •188 codes 1983/7 •190 codes 1995 •265 codes 2001 •30 codes 2005 But we have to be careful… CodeHarmonisation
- 13. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 But we have to be careful II • 30 minutes 1974 • 15 minutes 1983/7 • 15 minutes 1995 • 10 minutes 2001 • 10 minutes 2005 TimeHarmonisation “Recorded at least once in a half hour” DEMAND Time:
- 14. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1. Conceptions of DEMAND 2. Researching DEMAND using time use data 3. Activity classes: overall trends 4. Selected Activities: detailed trends 5. Concluding thoughts Today’s menu
- 15. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 10 Activity ‘classes’ 1. Travel 2. Media use 3. Sport/exercise 4. Voluntary, civic or leisure 5. Shopping/service use 6. Education related 7. Work related 8. Cooking & eating 9. Personal, child or adult care, domestic work 10. Sleep% of respondents – 1974 Source: MTUS 1974, author’s calculations, weighted
- 16. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 What’s changed? % of respondents – 1974 % of respondents – ‘1985’ % of respondents – 2000 % of respondents – 2005 Source: MTUS 1974-2005, author’s calculations, primary activities, weighted
- 17. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 % point change 1974 – 2005 - primary -25 -20 -15 -10 -5 0 5 10 15 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 %pointchange1974-2005 Travel Media use incl. TV, radio, PC, internet Voluntary, civic, watching sport, leisure or social activities Shopping/service use Work or work related Cooking or eating Source: MTUS 1974-2005, author’s calculations, primary activities, weighted
- 18. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1. Conceptions of DEMAND 2. Researching DEMAND using time use data 3. Activity classes: overall trends 4. Selected Activities: detailed trends 5. Concluding thoughts Today’s menu
- 19. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0% 0:00 1:30 3:00 4:30 6:00 7:30 9:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 2005 2000 1995 1985 1974 In detail: Food preparation Source: MTUS 1974-2005, author’s calculations, weighted As a primary or secondary activity As a % of all acts
- 20. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0% 0:00 1:30 3:00 4:30 6:00 7:30 9:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 2005 2000 1995 1985 1974 In detail: Food preparation Source: MTUS 1974-2005, author’s calculations, weighted As a primary or secondary activity As a % of food prep -0.6% -0.4% -0.2% 0.0% 0.2% 0.4% 0.6% 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 Weekdays (average) Saturday Sunday % point change 1974 - 2005
- 21. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 In detail: Sunday lunchtime food preparation Source: MTUS 1974-2005, author’s calculations, weighted Page 10 of 17 (MTUS 1974-2005, weighted) Further analysis focusing on ‘Sunday lunch’ (food preparation 11:00 – 14:00 on a Sunday) suggests that preparing ‘Sunday lunch’ has declined for most age groups and especially for those aged under 64 (Figure 4). Preparing Sunday lunch has also markedly declined for the middle and highest income groups but less so for the lowest income group who are also more likely to be over retirement age. This does not imply, of course, that less eating is done on Sunday – just that some of it, particularly for higher income groups, may now be done outside the home or later in the day (c.f. Figure 3 and also (Cheng et al. 2007)). Figure 4: Mean number of half hours in which ‘food preparation’ at home on Sunday 11:00-14:00 was reported in each survey by age group (left) and income group (right) (MTUS 1974-2005, weighted, error bars are +/- 95% confidence interval for the 45-54 age group or the middle income group only) 0 0.05 0.1 0.15 0.2 1974 1985 1995 2000 2005 16-24 25-34 35-44 45-54 55-64 65-74 75+ 0 0.05 0.1 0.15 0.2 1974 1985 1995 2000 2005 lowest 25% middle 50% highest 25% 0 0.05 0.1 0.15 0.2 1974 1985 1995 2000 2005 lowest 25% middle 50% highest 25%
- 22. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 -0.6% -0.4% -0.2% 0.0% 0.2% 0.4% 0.6% 0:00 1:30 3:00 4:30 6:00 7:30 9:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 %ofhalfhoursinwhichrecorded Weekday Saturday Sunday In detail: domestic laundry % point change laundry 1985 – 2005 in relative distribution within year Source: MTUS 1985-2005, author’s calculations, weighted 1985: • 98% of recorded laundry = women • 24% of women < 60 in full time paid work % point change 1985- 2005 % half hours where laundry reported by income group 1985- 2005 0 0.2 0.4 0.6 0.8 1 1.2 1985 1995 2000 2005 lowest 25% middle 50% highest 25% 2005: • 87% of recorded laundry = women • 41% of women < 60 in full time paid work
- 23. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 In detail: Car use Source: MTUS 1985-2005, author’s calculations, weighted Comparing time of car travel within the year 1985-2005 0.0% 0.1% 0.2% 0.3% 0.4% 0.5% 0.6% 0.7% 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 %ofrecordedcartravel 1985 2000 2005 Car use in 1974 = to/from work/school only -0.3% -0.2% -0.2% -0.1% -0.1% 0.0% 0.1% 0.1% 0.2% 0.2% 0.3% 0.3% 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 Saturday Sunday Weekdays (average)
- 24. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 Car trips ending at home in 2005 Insight: When might people charge EVs? Source: MTUS 2005, author’s calculations, weighted 0.00% 0.20% 0.40% 0.60% 0.80% 1.00% 1.20% 1.40% 1.60% %ofhalfhourswherecartrip endsathome Sunday Weekdays (average) Saturday
- 25. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1. Conceptions of DEMAND 2. Researching DEMAND using time use data 3. Activity classes: overall trends 4. Selected Activities: detailed trends 5. Concluding thoughts Today’s menu
- 26. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 Key messages I: Dynamism How do we ‘meet’ DEMAND? -25 -20 -15 -10 -5 0 5 10 15 0:00 1:30 3:00 4:30 6:00 7:30 9:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 %pointchange1974-2005 Travel Media use incl. TV, radio, PC, internet Sport or exercise Voluntary, civic, watching sport, leisure or social activities Shopping/service use Education or related Work or work related Cooking or eating When it keeps changing?
- 27. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 Key messages II: Constrained evolution Practices Infrastruct ures Social trends Evolving demand Non-energy energy policy Labour market policies Working hours School hours (Sub)Urban planning Transport options
- 28. @DEMAND_CENTRE @dataknut: ‘Energy Practices’ Through Time Energy Cultures 2016, Wellington, NZ, 6/7/2016 1 To be filled in from 4am on day one, which is Day Date all through day two, which is Day Date until 4am on day three, which is Time Use Survey Diary Thank you @dataknut b.anderson@soton.ac.uk www.demand.ac.uk 2017 – 2019: Centre for Sustainability, University of Otago (EU Global Fellowship) pixabay.com