Transferability of Time-of-Day Choice Modeling for Long-Distance Trips
Xia Jin, Jingcheng Wu, Alan J. Horowitz
Abstract
Xia Jin, Jingcheng Wu, Alan J. Horowitz
Abstract
Time-of-day models deal with the time at which travel occurs throughout the day. This paper presents a study in time-of-day choice modeling for long-distance trips, with special interest in the transferability of the model. Two datasets from the 2001 National Household Travel Survey and the 2001 California Statewide Household Travel Survey were employed to explore the effects of various factors on time-of-day choice making and to test the transferability the behavior findings and model parameters. Although there are remarkable differences in data composition between the two datasets, comparative analysis of the models developed from the two datasets reveals consistent results, suggesting the potential for transferability of the behavior pattern across spatial locations.
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Time-of-day models deal with the time at which travel occurs throughout the day. This paper presents a study in time-of-day choice modeling for long-distance trips, with special interest in the transferability of the model. Two datasets from the 2001 National Household Travel Survey and the 2001 California Statewide Household Travel Survey were employed to explore the effects of various factors on time-of-day choice making and to test the transferability the behavior findings and model parameters. Although there are remarkable differences in data composition between the two datasets, comparative analysis of the models developed from the two datasets reveals consistent results, suggesting the potential for transferability of the behavior pattern across spatial locations.
Key concepts: Transferability, TRIPS architecture, Econometrics, Computer science, Travel time, Travel behavior, Geography, Statistics