摘要: |
Human transportation patterns have continued to shift and increase in
rate as technology has made travel between spatially disparate locations
more feasible. These movements are responsible for approximately one
third of global carbon emissions, and account for one half of Vermont�s
greenhouse gas output. Modeling transportation behaviors is difficult due
to changing travel patterns and issues of surveying human participants.
Long distance travel patterns are especially difficult and have not
received the attention that urban mobility has within the literature.
In his Masters thesis, Ben describes current methods of transportation
data collection and propose new methods, as well as attempts to
quantify the impact on Vermont�s roadways of the transportation-based
tourism sector. The first chapter of the thesis describes a global positioning system (GPS)-based
travel survey conducted over the course of one year, coupled with
interview data of long distance trips undertaken by 10 participants. Long
distance travel has historically been underrepresented in travel surveying
due to its infrequency, resulting in decreased likelihood of capturing a
long distance trip in a short travel study. By extracting points at intervals
from the GPS dataset, it becomes possible to determine accuracy of trip
matching between the two datasets with adjusted data collection
methods. The second chapter examines transportation related to tourism
in Vermont. As one of Vermont�s largest industry sectors, economic
impact has been of particular interest to state planners. However, limited
analyses of the transportation impacts of this sector are currently
available. The research models route choice of drive through tourists,
whom constitute 40% of visitors, attempting to begin quantifying tourist
mileage and CO₂ emissions within the state.
Together, these studies expand knowledge on long distance transport
data collection and the role of tourism in Vermont�s transportation
mileage. |