evidenced through triangulation as described above. Iteration three
of the SEMS featured assistance monitoring and was used by 43
trial participants. The assistance monitoring was tested prior to the
trials on each SEMS through an experiment by the researchers
where they cycled a set course and used a set sequence of
assistance levels that were recorded on paper and through the
SEMS and subsequently compared. Fig. 12 shows an example of
assistance data collected with iteration three of SEMS.
The GPS data is analysed by using python code for cleaning,
summarising and segmenting into trips (see also Section 6).
Drawing on all three iterations of the SEMS, as a minimum, for all
participants, we have two headline figures: the number of days that
the bikes were used during the trial periods, and the total distance
travelled by the bikes. For sub-sets of trial participants (see
above), we have a much more detailed dataset. The assistance data
is recorded with a time stamp, and can therefore be analysed in
conjunction with the GPS data.