Abstract
The paper describes the use of Global Positioning System (GPS) data obtained from commercial and project-specific sources to examine the travel behavior and fuel consumption patterns of drivers over a 3-day period in Gauteng Province, South Africa. Data for commercial (truck and light delivery vehicle) traffic were obtained from a commercial fleet management provider that continuously tracked the movements of 42,000 vehicles. Data for private car users came from a panel of 720 drivers, whose multiday driving activity was tracked by mobile passive GPS loggers. The driving behavior of the two driver populations was analyzed and compared in terms of the total distance traveled: spatial patterns (e.g., the amount of travel on different types of road) and temporal variations (e.g., variations between times of day and between multiple days). The detailed nature of the GPS data permitted the estimation of fuel consumption at a very disaggregate level (by link and time of day) and the identification of differences between user groups; these factors have significant implications for transport and energy policy. A new indicator, the recovery ratio, was introduced to assess the relationship between fuel use and distance traveled on different classes of road and to help identify equity distortions between user groups. The paper also discusses research needs related to the collection and integration of GPS data from multiple sources for model calibration and program evaluation.
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