Analysis of Daily Activity Patterns & Sequences
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1 Analysis of Daily Activity Patterns & Sequences Basic Ideas and Illustrations Compiled by Margarita F Guerrero, Ph D Director, Statistical Institute for Asia and the Pacific (SIAP) United Nations ESCAP
2 A Day in the Life of Midnight Midnight At sleep Woke up Had coffee Went to work Lots of episodes To bed Source: Michael Bittman (2014) 2
3 A Day in the Lives of Different person, different day; i.e., different time use allocation 3
4 Source: Vrotsou, K. (2010). Everyday Mining. Exploring sequences in event based data. Linköping: Linköping University Electronic Press,, p
5 Visualization! STATISTICAL SUMMARIES FOR A POPULATION [ALL, SUBGROUPS ]
6 Tempogram 100 % Percentage (or proportion) of population performing specified activity at the given time 0 % Time of day 23.59
7 OVER THE 24 HOURS IN A DAY, WHEN DO PEOPLE
8 PREPARE FOOD?
9 Daily/weekly portrait of an activity: food preparation Original dataset: ONS 2000 UK Time Use Survey (Ipsos RSL and Office for National Statistics, United Kingdom Time Use Survey, 2000 [computer file]. 3rd Edition. Colchester, Essex: UK Data Archive [distributor], September SN: 4504, SN )
10 WHAT WOULD THIS TEMPOGRAM LOOK LIKE FOR [SUBGROUP X]?
11 WHAT USE IS THIS KIND OF INFORMATION?
12 OVER THE 24 HOURS IN A DAY, WHEN DO PEOPLE
13 What constitutes domestic work? DO DOMESTIC WORK?
14
15 WHAT USE IS THIS KIND OF INFORMATION?
16 HOW DOES THIS COMPARE TO SWEDISH MOTHERS AND FATHERS?
17
18 Finland Sweden
19 OVER THE 24 HOURS IN A DAY, WHEN DO PEOPLE
20 What activities constitute paid work? DO PAID WORK?
21 AND HAS THIS CHANGED OVER TIME?
22
23 Time of day and unsociable hours Collapse of standard length working day Per cent Length of the working day (metropolitan male prime aged workers) Hours Per cent Length of the working day (female metropolitan prime aged workers) Hours
24 ARE THERE DIFFERENCES BY SEX? BY DAY OF THE WEEK?
25 Proportion of population working by time of day
26
27 WHAT USE IS THIS KIND OF ANALYSIS OF TIME USE DATA?
28 Portrait of a Moment
29
30
31
32 Weekdays Weekends
33 Weekdays Weekends
34 Weekdays
35 Weekends
36 CHINA EXAMPLES [PAGES 7 10 OF TIME USE PATTERNS IN CHINA]: BY GENDER, WEEKEND/WEEKDAY AND URBAN/RURAL
37 JUST BECAUSE
38 1. Which activities constitute morning and evening peaks? What is the timing and duration of activities during the morning ( am) and afternoon ( pm) peak periods, from Monday to Friday respectively? 2. Are there differences between peak activities and peak energy demand? Are many people doing the same things at the same time, or is the peak (electricity) made of many people doing different things? 3. How are activities synchronised and sequenced? Is it possible to develop an index of societal synchronicity? Can we identify close coupled sequences of activities?
39 1. What are peaks made of? Morning and evening peaks compared: Mondays Monday morning Monday evening Illustrative examples, based on a small sub set Source: Trajectory Global Foresight Base: Subsample (50)
40 Monday and Friday evening peaks compared Number of respondents Number of respondents Monday Friday Finish work earlier on Friday
41 2. Societal synchronisation Examples Lots of people doing the same thing creates synchronised demand for energy: e.g. TV watching Lots of people doing different things creates non synchronised demand for energy: e.g. Saturday midday peak travel Lots of people doing the same low energy things creates nondemand: e.g. Sleep
42 2. Societal synchronisation Synchronisation high Many people doing the same energy intensive activity at the same time Many people doing the same lower energy activity at the same time Synchronisation low Many people doing different energy intensive activities at the same time Many people doing different lower energy activities at the same time Energy demand higher Energy demand lower
43 3. Sequences and flexibilities Activities are linked over time sequence patterns Some activities have to come before or after others Some activities often come before or after others Some activities rarely come before or after others Some sequences are tightly locked together, others are more flexible, and can be done at different times. Tightly locked sequences make blocks that structure the rhythm of the day These arrangements have distinctive features both of timing and duration How to identify and analyse sequential patterns?
44 Start with your research objectives! HOW TO IDENTIFY AND ANALYSE SEQUENCE PATTERNS?
45 Example 1. Activities which follow free time periods, by sex, weekdays Other Other free time activity Meals Personal care Housework Paid work Source: Swedish TUS, 2000/ Women Men Percent
46 Example 2. Tempograms representing several activities at once Assume: food preparation, eating and washing are linked Original dataset: ONS 2000 UK Time Use Survey (Ipsos RSL and Office for National Statistics, United Kingdom Time Use Survey, 2000 [computer file]. 3rd Edition. Colchester, Essex: UK Data Archive [distributor], September SN: 4504, SN )
47 Example 3. Peaks and co presence : implications for schedules and flexibility Who respondents were with at time of main activities (weekdays) Source: Trajectory Global Foresight Base: Subsample (50)
48 TEMPOGRAMS IN AID OF RESEARCH & ANALYSIS OBJECTIVES
49 Source: Vrotsou, K. (2010). Everyday Mining. Exploring sequences in event based data. Linköping: Linköping University Electronic Press,, p
50 What are your research objectives? Research issues? Research questions? Conceptual framework? Analysis framework?
51 For our analysis objectives tempograms would be a useful tool for: Describing daily patterns of the following activities/group of activities for the following subpopulations: [list] Comparing daily patterns of activity X for subpopulations A, B, C Identifying and analyzing the following sequence of patterns [list].
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