Predicting Long -Term Impacts of Urbanization in the St. Louis Metropolitan Area on Regional Emissions of Air Pollutants From Residential Fuel Combustion: A Dynamic Geographic Information Systems Approach
Wang, Yun
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https://hdl.handle.net/2142/85153
Description
Title
Predicting Long -Term Impacts of Urbanization in the St. Louis Metropolitan Area on Regional Emissions of Air Pollutants From Residential Fuel Combustion: A Dynamic Geographic Information Systems Approach
Author(s)
Wang, Yun
Issue Date
2007
Doctoral Committee Chair(s)
Hannon, Bruce
Department of Study
Geography
Discipline
Geography
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Urban and Regional Planning
Language
eng
Abstract
The bottom-up approach not only extends the existing emissions modeling by including the influences of city, town, suburb, and rural boundary as well as effects of spatial distribution of household income on fuel consumptions but also provides a quick and easy way to connect urbanization with residential fuel consumptions and residential emissions. Therefore, decision makers can obtain prompt feedback from the model and quickly adjust their policy scenarios accordingly. The spatial feature of this approach also provides a direct means to visually observe dynamic changes of driving variables across space. Initial assessment with such a model can provide preliminary analyses on issues of interest and identify the needs for more advanced modeling.
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