Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area
We develop and test a method to process raw individual-based GPS data. The method relies on combined fuzzy logic, GIS analyses and feedback algorithms. High fit rates in the detection of trips, trip legs and mode for Copenhagen case. 92% success rate across five modes with particular good rates for bus and rail. The results were not highly sensitive to changes in the specification of the input.
gis gps data processing revealed preference data multi-modal travel survey handheld gps