Using multi-source GPS data to characterize multiday driving patterns and fuel use in a large city region

摘要

The paper describes the use of GPS data obtained from both commercial and project-specificsources to examine the travel behavior and fuel consumption patterns of drivers over a three-dayperiod in Gauteng Province, South Africa. Data for commercial (truck and light delivery vehicle)traffic are obtained from a commercial fleet management provider, which continuously tracksthe movements of 42,000 vehicles. Data for private car users come from a panel of 720 drivers,whose multiday driving activity is tracked using mobile passive GPS loggers. We analyze andcompare the driving behavior of the two driver populations in terms of total distance travelled,spatial patterns (e.g. the amount of travel on different road types) and temporal variations (e.g.variations across time of day and across multiple days). The detailed nature of GPS data alsopermits the estimation of fuel consumption at a very disaggregate level (by link and time of day),and the identification of differences between user groups, which have significant implicationsfor transport and energy policy. We identify research needs related to the collection andintegration of GPS data from multiple sources for model calibration and program evaluation.