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PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions
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PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions

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Mathieu Durand-Daubin (EDF R&D-ECLEER) …

Mathieu Durand-Daubin (EDF R&D-ECLEER)
Ben Anderson (Southampton University)
Paper presented at BEHAVE 2014, Said Business School, Oxford, 3rd September 2014

Published in: Data & Analytics
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  • 1. PRACTICE HUNTING Time Use Surveys for a quantification of practices distributions and evolutions BEHAVE 2014, Oxford Mathieu Durand-Daubin (EDF R&D-ECLEER) Ben Anderson (Southampton University)
  • 2. Peak electricity demand Total France electricity consumption during Mondays and Sundays of February 2010 (RTE) 90 80 70 60 50 40 30 February Monday February Sunday 00:30 03:00 05:30 08:00 10:30 13:00 15:30 18:00 20:30 23:00 National electricity demand (GW) Time of the day France electricity consumption by time of the day on mondays and sundays of February 2010-RTE Electric demand split by usage from a sample of owner-occupied homes in England (2010-2011)
  • 3. Eating practices in TUS ● Electric consumption underlying practices ● Practices as group of activities held together by meanings and relying on competences and products (Shove & Pantzar, 2005) ● Eating relation to Time Southerton et al., 2011 ●Eating meanings Social Time Economy of Time Temporal Rythms Ordering Eating Commensality
  • 4. Practice Hunting ● Definition of clearly delimited entities (Dinner) based on TUS: ACTIVITIES TIME PLACE PARTICIPANTS ● Describing their relation to other practices, needs for energy, and peak demand ● Tracking alternative practices in the geographical and social space
  • 5. TUS Data ● Representative activity diaries ●Two days by household (Week,Week-End) ● 10 minutes steps primary and secondary activities ● Waves every 10 years + individual/household level information ● UK MTUS/ONS 2005 : 4 854 Diaries ● Fr. EDT/INSEE 2010 : 27 900 Diaries
  • 6. Eating practices definitions ● Dinner at Home with prior cooking ● Dinner at Home with No cooking ● Dinner outside (acquaintance or restaurant) ● No Dinner + Together/Appart + Guest/No Guest + TV/NoTV
  • 7. Eating practices definitions 0% 20% 40% 60% 80% 100% SkipDinner Dinner AtHome Cooking NoCooking Outside Friend&Fam Restaurant France UK
  • 8. Eating practices structure (Fr)
  • 9. Eating practices Time profiles ● How eating practices fit into the day time structure ? 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 100% Travel Travel 90% 80% 70% 60% 50% 40% 30% 20% eat eat 10% 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 computer games other computing internet shopping travel tv & video, radio, music reading hobbies & games sport & outdoor activities entertainment & culture social life (but not resting) voluntary work & meetings childcare (of household members) housework excl childcare study employment personal care ie wash/dress eating & drinking resting slee0% p 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 work work sleep sleep Cooking TV TV work No cooking
  • 10. 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 23:59 16:20 16:50 17:20 17:50 18:20 18:50 19:20 19:50 20:20 20:50 21:20 21:50 22:20 22:50 23:20 23:50 Cooking Cooking No cooking NoCook Eating practices Time profiles work work eat eat sleep sleep cook TV TV Travel Travel
  • 11. Practice Hunting: Days & Areas 100 90 80 70 60 50 40 30 20 10 0 Flat Building (Centre) Flat Building (Suburb) Mixed Dense houses 70% 60% 50% 40% 30% 20% 10% Sparse houses Restaurant Friends&Family NoCooking Cooking 70 60 50 40 30 20 10 0 Cooking NoCookin Friends&Family Restaurant SkipDinner 0% No eat No dinner Dinner with Dinner without Dinner out
  • 12. Practice Hunting: Sociodemographics 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 16-24 25-44 45-54 55-64 65-74 75+ % of the eating practice by category 100 90 80 70 60 50 40 30 20 10 0 age<20 age20-40 age40-60 age60-80 age>80 % of the eating practice by category Restaurant Friends&Family NoCooking Cooking 70% 60% 50% 40% 30% 20% 10% 0% 1 (lowest income) 2 3 4 (highest income) No eat No dinner Dinner Dinner Dinner 70 60 50 40 30 20 10 0 Income1 Income2 Income3 Income4 Income5 Cooking NoCooking Friends&Family EatOut SkipDinner
  • 13. Conclusion ● Meanings : Traces of commensality : participants, longer and later dinner, competition with TV Eating out (as defined) has different meanings in France : sharing with friends UK : convenient/efficient nutrition (no later or longer meal, surrounded with much more typical home activity)
  • 14. Conclusion Skipping dinner (as defined) has different meaning in: France: work in the evening, dinner pushed before or after UK: no dinner at all, replaced by social life Economy of time Clear competition between work and different time intensive eating practices
  • 15. Conclusion ● Material : Little information at the activity level: place, transport mode More information at the individual/household level Need to link with dedicated surveys associating diaries with appliance usage : high difficulty ● Competences : Directly related to individuals
  • 16. Next steps ● Direct link between activities and related appliance usage and electricity consumption ● Hunting practices in the past TUS waves (10 years) to identify how practices spread, shrink or change Limits ● Lack of direct information on meanings and devices ● Two days not enough to identify patterns and regularity ● Not so different from usual descriptive analyses
  • 17. THANK YOU mathieu.durand-daubin@edf.fr b.anderson@soton.ac.uk
  • 18. Eating practices in TUS ● General description of eating practices ● France (De Saint-Pol et al. 2013): 3 meals structure, work/meal constraints, reception/TV relation to social satus, younger snacking… ● International comparisons: differences in the times and places of meals in relation with cultural aspects, work organisation and specific infrastructures… ● Looking for meanings: relation to the organisation of time, comensality, duty, satisfaction (Daniels et al. 2012)
  • 19. Eating practices Time profiles 400 350 300 250 200 150 100 50 0 No dinner Dinner with cooking Dinner without cooking 85 80 75 70 65 60 55 50 Dinner out 0,7 0,6 0,5 0,4 0,3 0,2 0,1 0 16:00 16:20 16:40 17:00 17:20 17:40 18:00 18:20 18:40 19:00 19:20 19:40 20:00 20:20 20:40 21:00 21:20 21:40 22:00 22:20 22:40 23:00 23:20 23:40 23:59 Cooking NoCooking EatOut NoDinner Monday Sunday % of cases when cooking or Electric consumption (GW) eating happens at that time Different practices  different contribution to the peak

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