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Understanding time use: Daily or weekly data?
Highlights Proper duration of time use surveys (1, 2, 3 or 7days) is studied using fair criteria. Classic filters (number and exhaustiveness) suggest no fatigue effect. Duration, patterns and modeling tests suggest that less than 7-days are enough. Week days (Monday–Friday) are shown to be very much alike regarding time use. Two and three days surveys seem to be an adequate surrogate for weekly surveys.
Abstract The appropriate duration of time diaries as a source of time use data is analyzed in a structured way. Nine detailed European surveys based on seven-days diaries are used in order to study different dimensions of data quality, duration and variability of activities, and modeling capabilities. Pseudo diaries of 1, 2 (one week, one weekend) and 3 (one week, both weekend) days are constructed to further analyze these issues, selecting the seven-days diaries data as a benchmark. Comparative results show that two and three-days weighted surveys seem to be an adequate surrogate for the information obtained in weekly surveys that capture a basic work–leisure cycle.
Understanding time use: Daily or weekly data?
Highlights Proper duration of time use surveys (1, 2, 3 or 7days) is studied using fair criteria. Classic filters (number and exhaustiveness) suggest no fatigue effect. Duration, patterns and modeling tests suggest that less than 7-days are enough. Week days (Monday–Friday) are shown to be very much alike regarding time use. Two and three days surveys seem to be an adequate surrogate for weekly surveys.
Abstract The appropriate duration of time diaries as a source of time use data is analyzed in a structured way. Nine detailed European surveys based on seven-days diaries are used in order to study different dimensions of data quality, duration and variability of activities, and modeling capabilities. Pseudo diaries of 1, 2 (one week, one weekend) and 3 (one week, both weekend) days are constructed to further analyze these issues, selecting the seven-days diaries data as a benchmark. Comparative results show that two and three-days weighted surveys seem to be an adequate surrogate for the information obtained in weekly surveys that capture a basic work–leisure cycle.
Understanding time use: Daily or weekly data?
Jara-Díaz, Sergio (author) / Rosales-Salas, Jorge (author)
Transportation Research Part A: Policy and Practice ; 76 ; 38-57
2014-01-01
20 pages
Article (Journal)
Electronic Resource
English
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