Geoscience Reference
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inspected in the STC by categorizing the loaded week data by date and selecting that
date and subsequently navigating to find particular journey in that day as recorded
in the diary. Once particular journey is identified, visual inspection continues using
the loaded secondary data vis-à-vis the diary information such as start/stop location
name to support decision making in visually detecting outliers and redundant points.
The outcome is a refined point set (i.e., processed data) describing a particular trip.
The average STC-based manual processing time recorded
per cycle trip only
was
about 7 min. This duration is expected to vary based on experience of the analyst as
well as the file size (e.g., week-/month-long data) per participant.
8.4.1.4
Sample Characteristics
There were a total of 941 cycle trips by the sample of 79 adult cyclists, 319 trips
of these made by females and 622 made by males. Weighted average distances per
trip for both female and male were 3.5 km and 5.4 km, respectively (Table
8.1
). The
average body mass index (BMI) for all the 79 cyclists was 23.3 kg/m
2
with a stan-
dard deviation of 3.4 kg/m
2
.Table
8.1
shows average BMI for only female cyclists
as 23.1 kg/m
2
and that of males as 23.5 kg/m
2
. The BMI average of 23.3 kg/m
2
with standard deviation (SD) of 3.4 kg/m
2
for the sample (age range: 23-67) in
this study is 1.3 points higher than Lemieux and Godin (
2009
) who reported BMI
average of 22.0 kg/m
2
(SD
D
3.4 kg/m
2
) for age range from 19 to 48 years and mean
age of 24.0
˙
4.9 years. The mean ages for the two samples were however different.
This study had mean age of 38 years (SD
D
10.3) with a minimum of 23 years
and a maximum of 67. The older sample of our study explains the overall higher
BMI; nevertheless, these findings suggest that cyclists tend to have an ideal weight
according to the World Health Organization (WHO) weight groupings according to
BMI. According to Yang and French (
2013
), the WHO weight groupings according
to BMI values could be defined as follows:
BMI
<
18.5 kg/m
2
for underweight,
18.5 kg/m
2
BMI
<
30 kg/m
2
for
overweight, and
BMI
30 kg/m
2
for obese. These values along with the findings
clearly position cycling as a very attractive way of tackling obesity and promoting
healthy lifestyles.
BMI
<
25.0 kg/m
2
for ideal weight,
25 kg/m
2
Tabl e 8. 1
Gender versus number of cycle trips and distance traveled
Over 1-week period per person
Tot al
a
distance
(km)
Average
a
distance
(km/trip)
Average
a
distance
(km/person)
Gender
(number)
Number
of trips
Min/max trip
distance (km)
Average
BMI (kg/m
2
)
Female (27)
319
2,137.4
3.5
41.1
0.25/13
23.1
Male (52)
622
3,373
5.4
64.9
0.12/36
23.5
79 941 5,510.4 4.5 53
a
Weighted by gender. Female distance value is weighted to control for gender imbalance using a
factor of 52/27
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