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Full-Text Articles in Urban Studies and Planning
Factors Explaining Changes In Household Vehicle Miles Of Travel, Richard Driscoll
Factors Explaining Changes In Household Vehicle Miles Of Travel, Richard Driscoll
USF Tampa Graduate Theses and Dissertations
Vehicle miles of travel (VMT) is a key indicator of travel demand in the United States. Since 1995 total VMT and VMT per capita has fluctuated, with notable declines in the late 2000s and accelerated increases in the last 7 years. Since 1995, the National Household Travel Survey (NHTS) has tracked the household share of total VMT to shed light on the demographic and behavioral data behind personal vehicle travel. The household share of VMT, while still a majority, has declined every NHTS year since at least 1995. Meanwhile, household VMT has stagnated around 2.25 trillion miles since the 2001 …
Preparing For The Next Generation Of Senior Population: An Analysis Of Changes In Senior Travel Behavior Over The Last Two Decades, Joseph Nicholas Samus
Preparing For The Next Generation Of Senior Population: An Analysis Of Changes In Senior Travel Behavior Over The Last Two Decades, Joseph Nicholas Samus
USF Tampa Graduate Theses and Dissertations
Over the past several decades, the senior age group has become the fastest growing segment of the population in the United States (Warner, 2011). This study seeks to contribute to the ongoing discussion of the impacts that the increases in senior travel will have on the future transportation systems and planning efforts. The main objective of this research is to conduct an explorative analysis of the changes in senior travel behavior over the past two decades and discuss the implications of these changes to transportation planning in the future. This thesis seeks to further understanding of this topic by providing …
Spatial Transferability Of Activity-Based Travel Forecasting Models, Sujan Sikder
Spatial Transferability Of Activity-Based Travel Forecasting Models, Sujan Sikder
USF Tampa Graduate Theses and Dissertations
Spatial transferability of travel forecasting models, or the ability to transfer models from one geographical region to another, can potentially help in significant cost and time savings for regions that cannot invest in extensive data-collection and model-development procedures. This issue is particularly important in the context of tour-based/activity-based models whose development typically involves significant data inputs, skilled staff, and long production times. However, most literature on model transferability has been in the context of traditionally used trip-based models, particularly for linear regression-based trip generation and logit-based mode choice models, with little evidence on the transferability of activity-based models and that …