VKT (Vehicle Kilometers Traveled) is one of the most commonly-used measure of transportation system performance, and often a key variable in transportation operations, planning, and sustainability research. VKT models are frequently employed by decision-makers to understand the impact of various policy initiatives (e.g. fuel price/tax increase, vehicle registration/use regulation, emission control) on vehicle use, congestion, fuel consumption, and pollution/green house gas emissions. Based on state- level data in the U.S., we built two statistical models to estimate short- and long-run VKT dynamics: fixed-effect time-series model and structural equation model. Both models capture the spatial and temporal variance in VKT very well, and the results obtained from the two models are largely consistent.
Statistical Modeling of Spatial and Temporal Variation in Vehicle Kilometers Traveled
11th International Conference of Chinese Transportation Professionals (ICCTP) ; 2011 ; Nanjing, China
ICCTP 2011 ; 4214-4226
2011-07-26
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Taylor & Francis Verlag | 2020
|Taylor & Francis Verlag | 2018
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