Browsing by Subject "vehicle ownership"
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Item Comparison of Four-Step Versus Tour-Based Models for Prediction of Travel Behavior Before and After Transportation System Changes(Transportation Research Board of the National Academies, 2012) Ferdous, Nazneen; Vana, Lakshmi; Bowman, John L.; Pendyala, Ram M.; Giaimo, Gregory; Bhat, Chandra R.; Schmitt, David; Bradley, Mark; Anderson, RebekahThe main objective of this study is to examine the performance of the MORPC trip-based and tour-based frameworks in the context of three specific projects started and completed within the past 20 years in the Columbus metropolitan area. Regional- and project-level comparisons of the performance of the trip-based and tour-based models are made for three scenario years: 1990, 2000 and 2005. The regional-level analysis is undertaken in the context of four travel dimensions based on data availability and observed data to model output compatibility. These four dimensions are vehicle ownership, work flow distributions, work flow distribution by time-ofday, and average work trip travel times. The tour-based model performs better overall than the trip-based model for all these four dimensions. The project-level comparative assessment of the predicted link volumes from the trip-based and the tour-based models is undertaken with respect to the observed link counts and by roadway functional class. The results did not show any clear trends in terms of performance of the models by functional class or year.Item The modeling of household vehicle type choice accommodating spatial dependence effects(Transportation Research Board of the National Academies, 2013) Paleti, Rajesh; Bhat, Chandra R.; Pendyala, Ram M.; Goulias, Konstadinos G.Household vehicle ownership and fleet composition are choice dimensions that have important implications for policy making, particularly in the energy and environmental sustainability arena. In the context of household vehicle ownership and type choice, it is conceivable that there are substantial spatial interaction effects due to both observed and unobserved factors. This paper presents a multinomial probit model formulation that incorporates spatial spillover effects arising from both observed and unobserved factors. The model is estimated on the California add-on data set of the 2009 National Household Travel Survey. Model estimation results show that spatial dependency effects are statistically significant. The findings have important implications for model development and application in the policy forecasting arena.