Research for Safety

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Statistical Analysis of Navy Personal Motor Vehicle Fatalities
January 1, 2009

The DASN (Safety) asked CNA to identify individual risk factors that contribute to motor vehicle fatalities across the Navy. We conducted a statistical analysis, characterizing the relationship of various demographic factors and career events to these outcomes. We looked separately at motorcycle accidents, an area of interest because of the growing numbers of motorcycle deaths among military personnel. The objective of the study is to determine, in an analytically sound manner, the factors that explain vehicle fatality rates. The hope is that this will aid in selecting tools and interventions to reduce deaths.

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An Analysis of USMC Accidental Deaths: 2007 Update
September 1, 2008

The objective of this study was to characterize the variety of factors associated with motor-vehicle deaths among Marines. The study points to a number of risk factors (career events and characteristics of individual Marines) that are highly associated with deaths.

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U.S. Coast Guard: Purpose, Characteristics, Contributions, and Worth to the Nation
May 1, 1997
The Commandant of the Coast Guard requested CNA analytical assistance in identifying the Coast Guard's enduring features and in describing its unique character as a multi-missioned institution serving a diverse customer base. This task is an essential feature of a brader study attempting to develop a notional end state for the year 2020 by comparing service missions with trends affecting them. We believe that the future direction of the Coast Guard must be consistent with the service's enduring characteristics and its history and traditions. This report contains a brief history of the organization, a description of Coast Guard purpose and responsibilities, and a discussion of service identity and characteristics, organizational motivation, and national contributions. The reader should understand that his document represents an outsiders view of the Coast Guard.
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The Bay Area Project: Military Resources
October 1, 1994
In this research memorandum, we give a detailed assessment of military resources, including people, both civilian and military; useful expertise; permanent facilities, such as buildings, pools, and ball fields; and personal property items such as computers, furniture, and vocational training schools. See also CRMs 94-154, 94-155, 94-159, and 94-166.
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Alternative-Fuel Vehicles for the Department of the Navy: Appendixes
October 1, 1992
This research memorandum presents three appendixes that support, and expand on, material in CNA Research Memorandum 92-91, dated July 1992. Appendix A summarizes available information on alternative fuel-vehicle emissions. Appendix B describes several hypothetical strategies that the Department of Navy might use in distributing alternative fuel-vehicles among its facilities. Finally, Appendix C describes the calculation of the cost estimates presented in CNA Research Memorandum 92-91 and includes additional tables and figures comparing the cost of vehicles powered by compressed natural gas, liquefied petroleum gas, and a blend of 85 percent methanol and 15 percent gasoline (M-85).
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Alternative-Fuel Vehicles for the Department of the Navy
July 1, 1992
Laws and regulations taking effect over the next several years will determine the types of administrative vehicles the Department of the Navy (DON) must buy. Of most concern are a recent Executive Order, which requires purchasing vehicles that operate on nonpetroleum fuels, and the Clean Air Act, which requires fleet owners to purchase low emission vehicles for use in certain parts of the country. CNA analyzed the options available to DON for meeting these requirements. The results tend to favor one alternative fuel for vehicles held for two or three years and different fuels for vehicles held for more than eight years. These results are sensitive to changes in fuel prices and other vehicle costs. Because current data are limited and the alternative-fuel-vehicle industry is undergoing rapid change, we recommend that DON not commit to a single technology until more is known about the on-road performance and costs of all the choices. Appendixes covering emissions, DON fleet composition and distribution, and cost comparisons are published separately as CNA Research Memorandum 92-92.
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Estimated STOVL Strike Fighter Danger Area
January 1, 1992
Effects of impinging gas from the AV-8B Short-Takeoff Vertical-Landing (STOVL) aircraft require that personnel remain 50 feet away during vertical operations. In future STOVL aircraft, vertical thrust will be greater, with a potentially larger danger area. This memorandum examines the factors that determine the size of the danger area and models the amount of area future STOVL aircraft will need.
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A Methodology for Estimating the Effects of Department of Labor Programs on Productivity in the Private Sector
February 1, 1985
In this paper, a methodology is described and applied for evaluating the effects of individual government programs on aggregate private-sector productivity. Methodological development was needed to allow use of data from the existing professional literature. Earlier studies estimated the effects of the programs on price and quantity. CNA's contribution was to develop methods for translating these price and quantity effects into productivity estimates. The productivity effects of the following programs, all administered by the Department of Labor, were examined: training programs such as CETA and MDTA, minimum-wage laws, the Davis-Bacon Act, unemployment insurance, and OSHA and MSHA legislation on occupational safety.
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Regulation and Productivity in the Auto and Steel Industries
July 1, 1984
The rate of productivity growth in the U.S. economy and the extent and effects of government regulation have been matters of great concern in recent years. This study is an empirical investigation of the effect of regulation on productivity in the auto and steel industries during the period 1958-1980. The first step in the study was to develop numerical measures of regulation. These measures were then employed in two empirical models. In the single-equation model, the level or rate of growth of productivity was estimated as a function of output, technology, regulation, and other variables. In the multiequation model, cost and input cost shares were jointly estimated as a function of input prices, output, technology, and regulation. The estimated effect of regulation on productivity varied, depending on the model and the measure of regulation used. For example, the multiequation model indicated a positive effect of regulation on productivity in the steel industry. For the auto industry, however, it indicated that regulation generally had the expected negative effect on productivity. Over the period 1973-1980, regulation was estimated to have lowered the annual rate of productivity growth in the auto industry by 0.55 to 2.00 percentage points, depending on the measures of output and regulation. For Additional Information See 02 052701 00.
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