Recently, a model based on geographic information system (GIS) processing of U.S. CensusBlock data has made high-resolution population analysis for transportation risk analysistechnically and economically feasible. Population density bordering each kilometer of a routemay be tabulated with specific route sections falling into each of three categories (Rural,Suburban or Urban) identified for separate risk analysis. In addition to the improvement inresolution of Urban areas along a route, the model provides a statistically-based correction topopulation densities in Rural and Suburban areas where Census Block dimensions may greatlyexceed the 800-meter scale of interest.A semi-automated application of the GIS model to a subset of routes in Nevada (related to theYucca Mountain project) are presented, and the results compared to previous models including amodel based on published Census and other data. These comparisons demonstrate thatmeaningful improvement in accuracy and specificity of transportation risk analyses is dependenton correspondingly accurate and geographically-specific population density data.
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