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Regression Model to Project and Mitigate Vehicular Emissions in Cochabamba, Bolivia

Wagner, Christopher

Abstract Details

2017, Master of Science (M.S.), University of Dayton, Renewable and Clean Energy.
The purpose of this study is to generate a regression model tying the vehicular emissions in Cochabamba, Bolivia to input factors including the current state of the public fleet, city population, weather, and GDP. The finished model and the process to generate it can act as a tool to project future emissions in the city, accounting for the aforementioned input factors. It can also be used to estimate the drop in city pollution levels in a scenario where the public transportation fleet is partially replaced by non-emitting, electric vehicles. The main pollutant focused on in this study is particulate matter (PM10), but data also exists for ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2). The model generation process explained in the study could be applied to these pollutants as well. The regression model is generated using the open source software, R. Its final form utilizes a random forest regression model, but neural net, gradient boosting, and support vector machine models were also explored.
Robert Brecha, Ph.D. (Committee Chair)
Andrew Chiasson, Ph.D. (Committee Member)
Malcolm Daniels, Ph.D. (Committee Member)
83 p.

Recommended Citations

Citations

  • Wagner, C. (2017). Regression Model to Project and Mitigate Vehicular Emissions in Cochabamba, Bolivia [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1501719312999566

    APA Style (7th edition)

  • Wagner, Christopher. Regression Model to Project and Mitigate Vehicular Emissions in Cochabamba, Bolivia. 2017. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1501719312999566.

    MLA Style (8th edition)

  • Wagner, Christopher. "Regression Model to Project and Mitigate Vehicular Emissions in Cochabamba, Bolivia." Master's thesis, University of Dayton, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1501719312999566

    Chicago Manual of Style (17th edition)