This burden reduction
allows researchers to collect detailed travel information over a
longer period without requiring an increased effort from respondents.
This in turn increases the quality of data and provides an
opportunity to examine the dynamics of multi-day travel patterns.
For example, it becomes feasible to examine similarity and variability
in the number of daily trips, trip purpose frequencies, trip
origin and destination selection, trip duration distributions and
temporal trip-making distributions across days of the week and
even weeks of the month (Arentze, Ettema, & Timmermans,
2013; Nijland, Arentze, & Timmermans, 2014)