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This is a single transport study for each journey duration and most of the physiological, metabolic and haematological variables which changed as a consequence of transport had recovered to baseline values within 24 h of journey completion.
While it is not possible to fit the distribution of the ideal journey duration, our results show that a 100% synergy produces a distribution close to the ideal one.
The wide limits of agreement indicate a lack of precision for self-reported journey duration.
To investigate the error on self-reported journey duration in adolescents, using a wearable digital camera (Microsoft SenseCam).
A Bland-Altman plot of the between-method differences against the mean journey duration for the two methods for the whole sample illustrates the small fixed bias of 10 seconds (over-reporting of journey duration independent of journey length) as revealed by the paired t-statistic analysis.
We found separately identifiable effects for average travel speeds (manifested as journey duration) and maximum travel speed in the stated-preference scenarios.
For comparison, we show in the same figure the distribution of journey duration in the non-physical scenario where each individual travels without constraints of any type, such as traffic, etc.
The distribution of journey duration is shown in the ideal case, i.e., the non-physical scenario where each individual travels without constraints of any type, such as traffic, etc.
In addition, the current study aimed to compare self-reported journey duration and wearable camera recorded journey duration.
Alternatively, it may be that perceptions of journey duration differ in adult and school-aged populations.
The within-subjects correlation coefficient for journey duration was 0.89 (95% CI=0.84, 0.93).
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