On significance of route specific data for transportation risk analysis
- Univ. of Las Vegas, Las Vegas, NV (United States)
Pursuant to the enactment of federal legislation, the U.S. Department of energy (DOE) is presently evaluating Yucca Mountain as a candidate site for a repository to store spent nuclear fuel (SNF) and high-level radioactive waste (HLRW). Risk analyses could be used to support transportation decisions (such as route and mode selection) pertaining to the repository program. This paper presents a case study of Lincoln County, Nevada to discuss the significance of input data required to support risk analysis (Sathisan and Madhavapeddi 1994). Specifically, the methodology adopted to obtain the key input data indicative of local conditions along transport corridors and the results obtained using the same are discussed. Two key inputs identified were population density and transportation infrastructure characteristics in terms of safety/accident data. A methodology was developed to estimate population density along the transport route. Accident data pertinent to the segments of the transportation network were used as inputs in the risk analysis. The preliminary findings show that Lincoln County could be exposed to different risk levels and risk distribution than the nation as a whole for highway shipments of SNF. One primary issue to be addressed is the need for, and the significance of, route specific analysis versus the use of analyses based on national average data.
- OSTI ID:
- 127218
- Report Number(s):
- CONF-9504179--
- Country of Publication:
- United States
- Language:
- English
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