摘要: |
Transportation control measures (TCMs) is a general term for a wide
variety of strategies designed to improve transportation system efficiency
to reduce congestion, energy use, and emissions. A background research
effort between 2005 and 2017 reviewed more than 160 potential TCMs
for the Metropolitan Atlanta region and divided the strategies into five
categories: new vehicle standards, fleet turnover incentives, in-use
vehicle controls, demand management, and transportation supply
improvement measures. This research will further analyze five promising
TCM�s from this framework: Parking pricing in the morning peak period,
Doubling transit frequency doubling, Cent/mile congestion pricing,
Implementing an increase in the gasoline tax, and Opting-in to
California�s low emission vehicle (LEV) program.
The Atlanta Regional Commission�s (ARC) activity-based model (ABM) is
used to forecast weekday regional travel at the household level. This
research will use ARC�s ABM to analyze changes in travel patterns for the
five primary strategies across 16 different demographic groups, along
with energy use and emissions. It is expected to see the target group�s
mode change, energy consumption decrease, and emission decrease
when these control measures are implemented. Results from the
modeling work will be summarized, changes to the theoretical models
employed in ABM15 will be proposed, new model results will be
evaluated, and the impacts on energy use and emissions will be
reassessed. |