Motor vehicles are known to be the single largest source of air pollution in the United States. In this paper, the relationship between air pollution and vehicle traffic has been investigated using a geographic information system (GIS) as an analysis tool. The research focuses on how vehicular traffic affects air pollution. The main objective of this study was to analyze the spatial variability of air pollutants (PM2.5 and O3) by the identification of areas of high concentrations of air pollutants and their relationship between annual average daily traffic (AADT) volumes. Ordinary Kriging was used in this analysis to geostatistically interpolate between station data. A case study was conducted with 2014 air pollutant data from 14 monitoring sites in South Carolina. South Carolina Department of Transportation (SCDOT) AADT data provided the necessary traffic data. The resulting map enables pollutant black zone analysis of the transportation system as well as the development of sustainability indicators considering environmental factors.


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    Titel :

    Geostatistical Analysis of Mobile Source Emissions: A South Carolina Case Study


    Beteiligte:
    Famili, Afshin (Autor:in) / Sarasua, Wayne A. (Autor:in) / Ogle, Jennifer H. (Autor:in) / Shams, Alireza (Autor:in)

    Kongress:

    International Conference on Transportation and Development 2018 ; 2018 ; Pittsburgh, Pennsylvania



    Erscheinungsdatum :

    12.07.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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