{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/85153"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/85153","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"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","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.","abstract_html":"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. 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