Automation of GIS-based population data-collection for transportation risk analysis
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Automation of GIS-based population data-collection for transportation risk analysis

Filetype[PDF-878.87 KB]


  • English

  • Details:

    • Publication/ Report Number:
    • Resource Type:
    • OCLC Number:
      68362074
    • Corporate Publisher:
    • NTL Classification:
      NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS
    • Abstract:
      Estimation of the potential radiological risks associated with highway transport of radioactive

      materials (RAM) requires input data describing population densities adjacent to all portions of

      the route to be traveled. Previously, aggregated risks for entire multi-state routes were

      adequately estimated from population data with low geographic resolution. Current demands for

      geographically-specific risk estimates require similar increases in resolution of population

      density adjacent to route segments. With the advent of commercial geographic information

      systems (GISs) and databases describing highways, U.S. Census Blocks, and other information

      that is geographically distributed, it became feasible to determine and tabulate population

      characteristics along transportation routes with l-kilometer resolution. This report describes an

      automated method of collecting population data adjacent to route segments (for calculation of

      incident-free doses) based on a commercial GIS. It also describes a statistical method of

      resolving remaining resolution issues, and an adaptation of the automation method to collection

      of data on population under a hypothetical plume of contamination resulting from a potential

      transportation accident.

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