Abstract
Travel survey respondents often over- or under-estimate their travel time depending on a number of factors. This research presents 2 methods of measuring average speed and thus travel time. The traditional method, stated travel times from travel surveys are compared and corroborated against measured implied travel time based on a GPS-based floating vehicle study to identify the measurable operating speed. An example of this approach is shown for a survey of 2-wheelers (bicyclists and electric bike users) in 2 cities in China. In these cases, survey respondents report up to 32% higher travel times than what is measured on a floating vehicle study, depending on the case. The implication is that mode choice models calibrated on respondent stated travel time more than triples the effect of travel time compared with a model calibrated on average GPS speed (and inferred trip travel time).
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