A revealed preference dataset containing 2,826 full-day observations.
apollo_timeUseDataA data frame with 2,826 rows and 21 variables:
Numeric. Identification number of the individual.
Numeric. Index of the day for each observation (day 1 was excluded).
Numeric. Date in format yyyymmdd.
Numeric. Total amount of time registered during the day (in minutes).
Numeric. Time spent dropping off or picking up other people (in minutes).
Numeric. Time spent working (in minutes).
Numeric. Time spent on educational activities (in minutes).
Numeric. Time spent shopping (in minutes).
Numeric. Time spent on private business (in minutes).
Numeric. Time spent getting petrol (in minutes).
Numeric. Time spent on social or leisure activities (in minutes).
Numeric. Time spent on vacation or long (inter-city) travel (in minutes).
Numeric. Time spent doing exercise (in minutes).
Numeric. Time spent at home (in minutes).
Numeric. Time spent travelling (everyday travelling) (in minutes).
Numeric. Non-allocated time (in minutes).
Numeric. 1 if the respondent is female, 0 otherwise.
Numeric. Age of respondent (in years, approximate).
Numeric. 1 if the respondent works full time, 0 otherwise.
Numeric. 1 if the current date is a weekend, 0 otherwise.
This dataset is to be used for Multiple Discrete Continuous (MDC) modelling. Data comes from 447 individuals who provided activity diaries for a total of 2,826 days. Each observation summarizes the amount of time spent in each of twelve different activities. The dataset also includes characteristics of the participants. This dataset comes from the following publication: Calastri, C., Crastes dit Sourd, R. and Hess, S. (2020) We want it all: experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning. Transportation, 47(1), pp. 175-201.