SlideShare uma empresa Scribd logo
1 de 19
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)
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)
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
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
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
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
Eating practices definitions 
0% 20% 40% 60% 80% 100% 
SkipDinner 
Dinner 
AtHome 
Cooking 
NoCooking 
Outside 
Friend&Fam 
Restaurant 
France 
UK
Eating practices structure (Fr)
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
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
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
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
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)
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
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
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
THANK YOU 
mathieu.durand-daubin@edf.fr 
b.anderson@soton.ac.uk
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)
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

Mais conteúdo relacionado

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

Lithuania Questionnaire Results
Lithuania Questionnaire ResultsLithuania Questionnaire Results
Lithuania Questionnaire Resultscomenius-eatsmart
 
Tiakina o Tātou Tamariki - update Nov 2014
Tiakina o Tātou Tamariki - update Nov 2014Tiakina o Tātou Tamariki - update Nov 2014
Tiakina o Tātou Tamariki - update Nov 2014Manu Caddie
 
Penicuik presenta survey results
Penicuik presenta survey resultsPenicuik presenta survey results
Penicuik presenta survey resultsComeniusMODY
 
Planning advertising mail into an integrated campaign
Planning advertising mail into an integrated campaignPlanning advertising mail into an integrated campaign
Planning advertising mail into an integrated campaignRachel Aldighieri
 
What did you have for dinner? Empirical questions and procedures
What did you have for dinner? Empirical questions and procedures What did you have for dinner? Empirical questions and procedures
What did you have for dinner? Empirical questions and procedures Jean-Pierre Poulain
 

Semelhante a PRACTICE HUNTING: Time Use Surveys for a quantification of practices distributions and evolutions (15)

Lithuania Questionnaire Results
Lithuania Questionnaire ResultsLithuania Questionnaire Results
Lithuania Questionnaire Results
 
Impact of COVID-19 on the welfare of rural households in Senegal: Round 1
Impact of COVID-19 on the welfare of rural households in Senegal: Round 1Impact of COVID-19 on the welfare of rural households in Senegal: Round 1
Impact of COVID-19 on the welfare of rural households in Senegal: Round 1
 
Nehal Farouk (CAPMAS) • 2019 IFPRI Egypt - NNC Seminar: "the 100 million heal...
Nehal Farouk (CAPMAS) • 2019 IFPRI Egypt - NNC Seminar: "the 100 million heal...Nehal Farouk (CAPMAS) • 2019 IFPRI Egypt - NNC Seminar: "the 100 million heal...
Nehal Farouk (CAPMAS) • 2019 IFPRI Egypt - NNC Seminar: "the 100 million heal...
 
New
NewNew
New
 
Tiakina o Tātou Tamariki - update Nov 2014
Tiakina o Tātou Tamariki - update Nov 2014Tiakina o Tātou Tamariki - update Nov 2014
Tiakina o Tātou Tamariki - update Nov 2014
 
Food in modern everyday life: meanings, practices and concerns - Lotte Holm, ...
Food in modern everyday life: meanings, practices and concerns - Lotte Holm, ...Food in modern everyday life: meanings, practices and concerns - Lotte Holm, ...
Food in modern everyday life: meanings, practices and concerns - Lotte Holm, ...
 
New
NewNew
New
 
C3. Virtual vs real
C3. Virtual vs realC3. Virtual vs real
C3. Virtual vs real
 
Impact of COVID-19 on the welfare of rural households in Senegal - Fourth rou...
Impact of COVID-19 on the welfare of rural households in Senegal - Fourth rou...Impact of COVID-19 on the welfare of rural households in Senegal - Fourth rou...
Impact of COVID-19 on the welfare of rural households in Senegal - Fourth rou...
 
rentroomies
rentroomiesrentroomies
rentroomies
 
Penicuik presenta survey results
Penicuik presenta survey resultsPenicuik presenta survey results
Penicuik presenta survey results
 
FoodAfrica seminar presentation WP4
FoodAfrica seminar presentation WP4FoodAfrica seminar presentation WP4
FoodAfrica seminar presentation WP4
 
Impact of COVID-19 on the welfare of rural households in Senegal: Round 3
Impact of COVID-19 on the welfare of rural households in Senegal: Round 3Impact of COVID-19 on the welfare of rural households in Senegal: Round 3
Impact of COVID-19 on the welfare of rural households in Senegal: Round 3
 
Planning advertising mail into an integrated campaign
Planning advertising mail into an integrated campaignPlanning advertising mail into an integrated campaign
Planning advertising mail into an integrated campaign
 
What did you have for dinner? Empirical questions and procedures
What did you have for dinner? Empirical questions and procedures What did you have for dinner? Empirical questions and procedures
What did you have for dinner? Empirical questions and procedures
 

Mais de Ben Anderson

Using Time Use Data To Trace 'Energy Practices' Through Time
Using Time Use Data To Trace 'Energy Practices' Through TimeUsing Time Use Data To Trace 'Energy Practices' Through Time
Using Time Use Data To Trace 'Energy Practices' Through TimeBen Anderson
 
Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales) Ben Anderson
 
Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)Ben Anderson
 
A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...
A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...
A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...Ben Anderson
 
SAVE: Lightning Talk
SAVE: Lightning TalkSAVE: Lightning Talk
SAVE: Lightning TalkBen Anderson
 
SAVE: A large scale randomised control trial approach to testing domestic ele...
SAVE: A large scale randomised control trial approach to testing domestic ele...SAVE: A large scale randomised control trial approach to testing domestic ele...
SAVE: A large scale randomised control trial approach to testing domestic ele...Ben Anderson
 
Electricity consumption and household characteristics: Implications for censu...
Electricity consumption and household characteristics: Implications for censu...Electricity consumption and household characteristics: Implications for censu...
Electricity consumption and household characteristics: Implications for censu...Ben Anderson
 
Small Area Estimation as a tool for thinking about temporal and spatial varia...
Small Area Estimation as a tool for thinking about temporal and spatial varia...Small Area Estimation as a tool for thinking about temporal and spatial varia...
Small Area Estimation as a tool for thinking about temporal and spatial varia...Ben Anderson
 
The Time and Timing of UK Domestic Energy DEMAND
The Time and Timing of UK Domestic Energy DEMANDThe Time and Timing of UK Domestic Energy DEMAND
The Time and Timing of UK Domestic Energy DEMANDBen Anderson
 
Modeling Electricity Demand in Time and Space
Modeling Electricity Demand in Time and SpaceModeling Electricity Demand in Time and Space
Modeling Electricity Demand in Time and SpaceBen Anderson
 
Census2022: Extracting value from domestic consumption data in a post­census era
Census2022: Extracting value from domestic consumption data in a post­census eraCensus2022: Extracting value from domestic consumption data in a post­census era
Census2022: Extracting value from domestic consumption data in a post­census eraBen Anderson
 
Tracking Social Practices with Big(ish) data
Tracking Social Practices with Big(ish) dataTracking Social Practices with Big(ish) data
Tracking Social Practices with Big(ish) dataBen Anderson
 
Modes of commuting, workplace choice and energy use at home
Modes of commuting, workplace choice and energy use at homeModes of commuting, workplace choice and energy use at home
Modes of commuting, workplace choice and energy use at homeBen Anderson
 
Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...
Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...
Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...Ben Anderson
 
Small Area Estimation as a tool for thinking about spatial variation in energ...
Small Area Estimation as a tool for thinking about spatial variation in energ...Small Area Estimation as a tool for thinking about spatial variation in energ...
Small Area Estimation as a tool for thinking about spatial variation in energ...Ben Anderson
 
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011 Ben Anderson
 
Producing and validating small area estimates of household electricity demand
Producing and validating small area estimates of household electricity demandProducing and validating small area estimates of household electricity demand
Producing and validating small area estimates of household electricity demandBen Anderson
 
Patterns of Water: Thinking about diversity, demand and consumption
Patterns of Water: Thinking about diversity, demand and consumptionPatterns of Water: Thinking about diversity, demand and consumption
Patterns of Water: Thinking about diversity, demand and consumptionBen Anderson
 
Census 2022: An overview
Census 2022: An overviewCensus 2022: An overview
Census 2022: An overviewBen Anderson
 
On the social scientific value of transactional data
On the social scientific value of transactional dataOn the social scientific value of transactional data
On the social scientific value of transactional dataBen Anderson
 

Mais de Ben Anderson (20)

Using Time Use Data To Trace 'Energy Practices' Through Time
Using Time Use Data To Trace 'Energy Practices' Through TimeUsing Time Use Data To Trace 'Energy Practices' Through Time
Using Time Use Data To Trace 'Energy Practices' Through Time
 
Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)
 
Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)Modeling Water Demand in Droughts (in England & Wales)
Modeling Water Demand in Droughts (in England & Wales)
 
A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...
A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...
A Social Practices-based Microsimulation Model for Estimating Domestic Hot Wa...
 
SAVE: Lightning Talk
SAVE: Lightning TalkSAVE: Lightning Talk
SAVE: Lightning Talk
 
SAVE: A large scale randomised control trial approach to testing domestic ele...
SAVE: A large scale randomised control trial approach to testing domestic ele...SAVE: A large scale randomised control trial approach to testing domestic ele...
SAVE: A large scale randomised control trial approach to testing domestic ele...
 
Electricity consumption and household characteristics: Implications for censu...
Electricity consumption and household characteristics: Implications for censu...Electricity consumption and household characteristics: Implications for censu...
Electricity consumption and household characteristics: Implications for censu...
 
Small Area Estimation as a tool for thinking about temporal and spatial varia...
Small Area Estimation as a tool for thinking about temporal and spatial varia...Small Area Estimation as a tool for thinking about temporal and spatial varia...
Small Area Estimation as a tool for thinking about temporal and spatial varia...
 
The Time and Timing of UK Domestic Energy DEMAND
The Time and Timing of UK Domestic Energy DEMANDThe Time and Timing of UK Domestic Energy DEMAND
The Time and Timing of UK Domestic Energy DEMAND
 
Modeling Electricity Demand in Time and Space
Modeling Electricity Demand in Time and SpaceModeling Electricity Demand in Time and Space
Modeling Electricity Demand in Time and Space
 
Census2022: Extracting value from domestic consumption data in a post­census era
Census2022: Extracting value from domestic consumption data in a post­census eraCensus2022: Extracting value from domestic consumption data in a post­census era
Census2022: Extracting value from domestic consumption data in a post­census era
 
Tracking Social Practices with Big(ish) data
Tracking Social Practices with Big(ish) dataTracking Social Practices with Big(ish) data
Tracking Social Practices with Big(ish) data
 
Modes of commuting, workplace choice and energy use at home
Modes of commuting, workplace choice and energy use at homeModes of commuting, workplace choice and energy use at home
Modes of commuting, workplace choice and energy use at home
 
Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...
Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...
Do ‘eco’ attitudes & behaviours explain the uptake of domestic energy product...
 
Small Area Estimation as a tool for thinking about spatial variation in energ...
Small Area Estimation as a tool for thinking about spatial variation in energ...Small Area Estimation as a tool for thinking about spatial variation in energ...
Small Area Estimation as a tool for thinking about spatial variation in energ...
 
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011
 
Producing and validating small area estimates of household electricity demand
Producing and validating small area estimates of household electricity demandProducing and validating small area estimates of household electricity demand
Producing and validating small area estimates of household electricity demand
 
Patterns of Water: Thinking about diversity, demand and consumption
Patterns of Water: Thinking about diversity, demand and consumptionPatterns of Water: Thinking about diversity, demand and consumption
Patterns of Water: Thinking about diversity, demand and consumption
 
Census 2022: An overview
Census 2022: An overviewCensus 2022: An overview
Census 2022: An overview
 
On the social scientific value of transactional data
On the social scientific value of transactional dataOn the social scientific value of transactional data
On the social scientific value of transactional data
 

Último

VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationshipsccctableauusergroup
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 

Último (20)

VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 

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

  • 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
  • 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