Portland State University. Department of Physics
Date of Publication
Master of Science (M.S.) in Physics
Traffic flow -- Oregon -- Portland -- Mathematical models, Atmospheric carbon dioxide -- Oregon -- Portland -- Measurement, Traffic estimation -- Oregon -- Portland -- Mathematical models, Air quality -- Measurement
1 online resource (xiv, 144 pages)
Emissions inventories are an important tool, often built by governments, and used to manage emissions. To build an inventory of urban CO2 emissions and other fossil fuel combustion products in the urban atmosphere, an inventory of on-road traffic is required. In particular, a high resolution inventory is necessary to capture the local characteristics of transport emissions. These emissions vary widely due to the local nature of the fleet, fuel, and roads.
Here we show a new model of ADT for the Portland, OR metropolitan region. The backbone is traffic counter recordings made by the Portland Bureau of Transportation at 7,767 sites over 21 years (1986-2006), augmented with PORTAL (The Portland Regional Transportation Archive Listing) freeway traffic count data. We constructed a regression model to fill in traffic network gaps using GIS data such as road class and population density. An EPA-supplied emissions factor was used to estimate transportation CO2 emissions, which is compared to several other estimates for the city's CO2 footprint.
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Powell, James Eckhardt, "Building a Multivariable Linear Regression Model of On-road Traffic for Creation of High Resolution Emission Inventories" (2017). Dissertations and Theses. Paper 3415.