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Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
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References

AGC (Associated General Contractors of America). 2006. The Contractors’ Guide to BIM. Washington, D.C.: AGC.

Allen, Grahame. 2001. The Private Finance Initiative (PFI). London: House of Commons Library, Economic Policy and Statistics Section.

Ang, A.H-S., and C.A. Cornell. 1974. Reliability bases of structural safety and design. Journal of Structural Design 100(9):1755-1769.

Ang, A.H-S., and W.H. Tang. 2007. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering. 2nd ed. New York: John Wiley and Sons.

Antelman, A., J. Dempsey, and W. Brodt. 2008. Mission Dependency Index—A metric for determining infrastructure criticality. Pp. 141-146 in Infrastructure Reporting and Asset Management: Best Practices and Opportunities. Reston, Va.: American Society of Civil Engineers.

Apostalakis, G., and D. Lemon. 2005. A screening methodology for the identification and ranking of infrastructure vulnerabilities due to terrorism. Risk Analysis 25:361-376.

APWA (American Public Works Association). 1992. Plan. Predict. Prevent. How to Reinvest in Public Buildings. Special Report No. 62. Chicago, Ill.: APWA.

ASCE (American Society of Civil Engineers). 2005. Seismic Design Criteria for Structures, Systems, and Components in Nuclear Facilities. Standard 43-05. Reston, Va.: ASCE.

ASCE and ANSI (American National Standards Institute). 2006. Guidelines for the Seismic Rehabilitation of Buildings. Reston, Va.: ASCE.

ASHRAE (American Society of Heating, Refrigeration and Air-Conditioning Engineers). 2009. 2009 ASHRAE Handbook—Fundamentals. Atlanta, Ga.: ASHRAE.

Ballesty, S., J. Mitchell, R. Drogemuller, H. Schevers, C. Linning, G. Singh, and D. Marchant. 2007. Adopting BIM for Facilities Management: Solutions for Managing the Sydney Opera. Available at http://eprints.qut.edu.au/27582/. Accessed April 20, 2011.

Bettinghaus, E.P., and M.J. Cody. 1994. Persuasive Communications. Fort Worth, Tex.: Harcourt, Brace, Jovanovich College Publishers.

Boyce, P.R., C. Hunter, and O. Howlett. 2003. The Benefits of Daylighting Through Windows. Troy, N.Y.: Lighting Research Center.

Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×

Brucker, B.A., M.P. Case, W. East, B. Huston, S. Nachtigall, J. Shockley, S. Spangler, and J. Wilson. 2010. Building Information Modeling (BIM)—A Roadmap for Implementation to Support MILCON Transformation and Civil Works Projects. Engineering Research and Development Center Technical Report. ERDC TR-06-10. Available at http://www.cecer.army.mil/techreports/ERDC_TR-06-10/ERDC_TR-06-10.pdf . Accessed April 20, 2011.

Campbell, D. 2011. USPTO Telework. Presentation at Forum on Alternative Work Arrangements, Keck Center of the National Academies, Washington, D.C., June 9, 2010.

Dempsey, J. 2009. A Coast Guard pilot to make better facility decisions. Journal of Building Information Modeling, Fall, p. 26.

DOD (Department of Defense). 2001. Report to Congress: Identification of the Requirements to Reduce the Backlog of Maintenance and Repair of Defense Facilities. Washington, D.C.: DOD.

Du, Z., and X. Jin. 2007. Detection and diagnosis for sensor fault in HVAC systems. Energy Conservation and Management 48(3):693-702.

Eastman, C., P. Teicholz, R. Sacks, and K. Liston. 2008. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. Hoboken, New Jersey: John Wiley & Sons, Inc.

Ellingwood, B.R. 1994. Probability-based codified design: Past accomplishments and future challenges. Journal of Structural Safety 13(3):159-176.

Ellis, M.W., and E.H. Mathews. 2002. Needs and trends in building and HVAC system design tools. Building and Environment 37(5):461-470.

FEMP (Federal Energy Management Program). 2010. Annual Report to Congress on Federal Government Energy Management and Conservation Programs Fiscal Year 2007. Available at http://www1.eere.energy.gov/femp/pdfs/annrep07.pdf . Accessed April 28, 2011.

Fernandez, N., M. Brambley, S. Katipamula, H. Cho, J. Goddard, and L. Dinh. 2010. Self-Correcting HVAC Controls Project Final Report. PNNL-19074. Richland, Wash.: Pacific Northwest National Laboratory.

FFC (Federal Facilities Council). 1996. Budgeting for Facilities Maintenance and Repair. Technical Report No. 131. Washington, D.C.: National Academy Press.

FFC. 2005. Implementing Health-Protective Features and Practices in Buildings. Washington, D.C.: The National Academies Press.

Frangopol, D.M, J.S. Kong, and E.S. Gharaibeh. 2001. Reliability-based life-cycle management of highway bridges. Journal of Computing in Civil Engineering 15(1):27-35.

GAO (Government Accountability Office). 2003. High Risk Series. Federal Real Property. GAO-03-122. Washington, D.C.: GAO.

GAO. 2008. Federal Real Property: Government’s Fiscal Exposure from Repair and Maintenance Backlogs Is Unclear. Washington, D.C.: GAO.

GAO. 2011a. Federal Real Property: An Update on High Risk Issues. Washington, D.C.: GAO.

GAO. 2011b. Federal Real Property: The Government Faces Challenges to Disposing of Unneeded Buildings. GAO11-370T. Washington, D.C.: GAO.

GAO. 2011c. The Federal Government’s Long-Term Fiscal Outlook. January 2011 Update. Washington, D.C.: GAO. Available at http://www.gao.gov/new.items/d11451sp.pdf. Accessed June 30, 2011.

Gillespie, T.D., M.W. Sayers, and C.A.V. Queiroz. 1986. The International Road Roughness Experiment: Establishing Correlation and Calibration Standard for Measurement. Technical Report No. 45. Washington, D.C.: The World Bank.

Golabi, K., and R. Shepard. 1997. Pontis: A system for maintenance optimization and improvement of U.S. bridge networks. Interfaces 27(1):71-88.

Goodman, E. 2009. A tone-deaf message on mammograms. Boston Globe. November 27.

Greenberg, M. 2009. Risk analysis and port security: Some contextual observations and considerations. Annals of Operations Research 187(1):121-136.

Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×

Grussing, M.N., D.R. Uzarski, and L.R. Marrano. 2006. Condition and Reliability Prediction Models Using the Weibull Probability Distribution. Pp. 19-24 in Proceedings of the Ninth International Conference Applications of Advanced Technologies in Transportation. Reston, Va.: American Society of Civil Engineers. August.

Grussing, M.N., D.R. Uzarski, and L.R. Marrano. 2009. Building infrastructure functional capacity measurement framework. ASCE Journal of Infrastructure Systems, December, pp. 371-377.

GSA (General Services Administration). 2006. Fiscal Year 2005 Federal Real Property Report. Washington, D.C.: GSA.

GSA. 2009. Fiscal Year 2008 Federal Real Property Report. Washington, D.C.: GSA. Available at http://www.gsa.gov/graphics/ogp/FY_2008_Real_Property_Report.pdf. Accessed February 28, 2011.

GSA. 2010. Fiscal Year 2009 Federal Real Property Report. Washington, D.C.: GSA. Available at http://www.gsa.gov/graphics/ogp/FY2009_FRPR_Statistics.pdf. Accessed February 28, 2011.

Haimes, Y.Y. 1991. Total risk management. Risk Analysis 11(2):169-171.

Indiana University. 2010. BIM Standards. Available at http://www.indiana.edu/~uao/iubim.html. Accessed April 4, 2011.

Jones, W., and R. Bukowski. 2001. Critical Information for First Responders, Whenever and Wherever It Is Needed. Gaithersburg, Md.: National Institute of Standards and Technology. Available at http://fre.nist.gov/bfrlpubs/fre01/PDF/f01144.pdf. Accessed July 21, 2010.

Jordani, D. 2010. BIM and FM: The portal to lifecycle facility management. Journal of Building Information Modeling, Spring, pp. 13-16.

Kaplan, S., and B.J. Garrick. 1981. On the quantitative definition of risk. Risk Analysis 1(1):11-27.

Keston Institute (Keston Institute for Public Finance and Infrastructure Policy). 2011. An Informational Summary on Public Private Partnerships. Available at http://ncsu.edu/iei/programs/growth/resources/PPPPrimer.pdf . Accessed June 21, 2011.

Kidd, R. 2010. Statement of Richard Kidd, Program Manager, Federal Energy Management Program, Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy, Before the Subcommittee on Federal Financial Management, Government Information, Federal Services and International Security, Committee on Homeland Security and Government Affairs, U.S. Senate. January 27, 2010. Available at http://hsgac.senate.gov/public/index.cfm?FuseAction=Hearings. Hearing&Hearing_ID=c7cb1779-8aa1-4250-8dfe-18e06b579af1. Accessed February 28, 2011.

Klass, P. 2009. Fearing a flu vaccine—And wanting more of it. New York Times. November 10.

Kolata, G. 2009. Get a mammogram. No don’t. Repeat. New York Times. November 21.

Koren, G., and N. Klein. 1991. Bias against negative studies in newspaper reports of medical research. Journal of the American Medical Association 266:1824-1826.

Laster, S., and A. Olatunji. 2007. Autonomic computing: Towards a self-healing system. Pp. 62-78 in Proceedings of the Spring 2007 American Society for Engineering Education Illinois-Indiana Section Conference. Washington, D.C.: American Society for Engineering Education.

Leung, M., J.H. Lambert, and A. Mosenthal. 2004. A risk-based approach to setting priorities in protecting bridges against terrorist attacks. Risk Analysis 24(4):963-984.

Linstone, H., and M. Turoff. 1975. The Delphi Method: Techniques and Applications. Reading, Mass.: Addison-Wesley.

Liu, X., and B. Akinci. 2009. Requirements and evaluation of standards for integration of sensor data with building information models. Proceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering. Austin, Tex.: American Society of Civil Engineers.

Lowrance, W.W. 1976. Of Acceptable Risk. Los Altos, Calif.: William Kaufmann.

Lufkin, P., A. Desai, and J. Janke. 2005. Estimating the restoration and modernization costs of infrastructure and facilities. Public Works Management and Policy, July, pp. 40-52.

McNabb, W. 2010. GM Asset Management. Presentation to the NRC Committee on Predicting Outcomes of Investments in Maintenance and Repair for Federal Facilities, February 18, 2010, Washington, D.C.

Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×

Menzel, K., and D. Pesch. 2008. Towards a wireless sensor platform for energy efficient building operation. Tshinghua Science and Technology 13:381-386.

Moran, J. 2010. NNSA Roof Asset Management Program. Presentation to Federal Facilities Council, October 27, Washington, D.C.

Muto T., M. Tomita, S. Kikuchi, and T. Watanabi. 1997. Methods to persuade higher management to invest in health promotion programs in the workplace. Occupational Medicine 47(4):210-216.

NACUBO (National Association of College and University Business Officers). 1991. Managing the Facilities Portfolio: A Practical Approach to Institutional Facility Renewal and Deferred Maintenance. Washington, D.C.: NACUBO.

NAPA and NRC (National Academy of Public Administration and National Research Council). 2010. Choosing the Nation’s Fiscal Future. Washington, D.C.: The National Academies Press.

NAS-NAE-NRC (National Academy of Sciences-National Academy of Engineering-National Research Council). 2008. What You Need to Know About Energy. Washington, D.C.: The National Academies Press.

NASA (National Aeronautics and Space Administration). 1996. Reliability Centered Maintenance Guide for Facilities and Collateral Equipment. Washington, D.C.: NASA.

NIBS (National Institute of Building Sciences). 2008. Assessment to the U.S. Congress and U.S. Department of Energy on High Performance Buildings. Washington, D.C.: NIBS.

NRC (National Research Council). 1990. Committing to the Cost of Ownership: Maintenance and Repair of Public Buildings. Washington, D.C.: National Academy Press.

NRC. 1993. The Fourth Dimension in Buildings: Strategies for Minimizing Obsolescence. Washington, D.C.: National Academy Press.

NRC. 1998. Stewardship of Federal Facilities: A Proactive Strategy for Managing the Nation’s Public Assets. Washington, D.C.: National Academy Press.

NRC. 2004a. Investments in Federal Facilities: Asset Management Strategies for the 21st Century. Washington, D.C.: The National Academies Press.

NRC. 2004b. Intelligent Sustainment and Renewal of Department of Energy Facilities and Infrastructure. Washington, D.C.: The National Academies Press.

NRC. 2008. Core Competencies for Federal Facilities Asset Management Through 2020. Washington, D.C.: The National Academies Press.

NRC. 2009. Science and Decisions: Advancing Risk Assessment. Washington, D.C.: The National Academies Press.

NRC. 2011. Achieving High-Performance Federal Facilities: Strategies and Approaches for Transformational Change. Washington, D.C.: The National Academies Press.

NSTC (National Science and Technology Council). 2008. Federal Research and Development Agenda for Net-Zero Energy, High-Performance Green Buildings. Washington, D.C.: NSTC.

Orringer, O. 1990. Control of Rail Integrity by Self-Adaptive Scheduling of Rail Tests. DOT/FRA/ ORD-90/05. Washington, D.C.: U.S. Department of Transportation, Federal Railroad Administration, Office of Research and Development.

Parashar, M., and S. Hariri. 2005. Autonomic computing: An overview. Lecture Notes in Computer Science 3566:257-269.

Reagan, R., F. Mosteller, and C. Yountz. 1989. Quantitative meanings of verbal probability expressions. Journal of Applied Psychology 74(3):433-442.

Resendiz, E.Y., L.F. Molina, J.M. Hart, J.R. Edwards, S. Sawadisavi, N. Ahuja, and C.P.L. Barkan. 2010. Development of a machine-vision system for inspection of railway track components. Paper presented at the 12th World Conference on Transport Research, Lisbon, Portugal. Available at http://intranet.imet.gr/Portals/0/UsefulDocuments/documents/03355.pdf.

Roberti, M. 2009. Bar-code technology is not cheaper than RFID. RFID Journal. June 29. Available at http://www.rfdjournal.com/article/view/5005.

Rose, R. 2007. Buildings: The Gift That Keep on Taking: A Framework for Decision Making. Alexandria, Va.: Center for Facilities Research-APPA.

Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×

Sallans, B., D. Bruckner, and G. Russ. 2006. Statistical Detection of Alarm Conditions in Building Automation Systems. 2006 IEEE International Conference on Industrial Informatics. Singapore: IEEE.

Schlake, B.W., S. Todorovic, J.R. Edwards, J.M. Hart, N. Ahuja, and C.P.L Barkan. 2010. Machine vision condition monitoring of heavy-axle load railcar structural underframe components. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit.

Shahin, M.Y. 2005. Pavement Management for Airfields, Roads, and Parking Lots, 2nd ed. Dordrecht, The Netherlands: Springer Science + Business Media.

Shahin, M.Y., and S.D. Kohn. 1979. Development of a Pavement Condition Rating Procedure for Roads, Streets, and Parking Lots, Vol. 1: Condition Rating Procedure. Technical Report M-268. Champaign, Ill.: U.S. Army Corps of Engineers Construction Engineering Research Laboratory. July.

Shahin, M.Y., M.I. Darter, and S.D. Kohn. 1976. Development of a Pavement Maintenance Management System. Vol. 1: Airfield Pavement Condition Rating. AFCEC-TR-76-27. Champaign, Ill.: U.S. Army Corps of Engineers Construction Engineering Research Laboratory. Available at http://trid.trb.org/view.aspx?id=56392.

Shahin, M.Y., D.M. Bailey, and D.E. Brotherson. 1987. Membrane and Flashing Condition Indexes for Built-Up Roofs, Vol. 1: Development of the Procedure. Technical Report M-87/13/ADA190367. Champaign, Ill.: U.S. Army Corps of Engineers Construction Engineering Research Laboratory.

Shih, G. 2009. Game changer in retailing, Barcode is 35. New York Times. June 25.

Siegrist, M., and G. Cvetkovich. 2001. Better negative than positive? Evidence of a bias for negative information about possible health dangers. Risk Analysis 21:199-206.

Smith D. 2007. An introduction to BIM. Journal of Building Information Modeling, Fall, pp. 12-14.

St. Thomas, R. 2010. IBM Facilities M&R. Presentation to the National Research Council, Washington, D.C., February 18.

TRB (Transportation Research Board). 2010. Performance Specifications for Rapid Renewal. Phase 2 Specifications and Development. Washington, D.C.: The National Academies Press.

Tsai, Y.-C., K. Vivek, and R. Merserau. 2010. Critical assessment of pavement distress segmentation methods. ASCE Journal of Transportation Engineering 136(1)11-19.

Union Pacific. 2005. Union Pacific unveils $8.5 million state-of-the-art track inspection vehicle. Available at http://www.uprr.com/newsinfo/releases/capital_investment/2005/1216_ec5.shtml. Accessed September 25, 2011.

Urban Institute. 1994. Issues in Deferred Maintenance. Washington, D.C.: Urban Institute.

USACE (U.S. Army Corps of Engineers). 2010. PIANC WG 129 Comparison of National Practice and Standards. Draft of Chapter 3. Champaign, Ill.: U.S. Army Corps of Engineers Construction Engineering Research Laboratory.

USPTO (U.S. Patent and Trademark Office). 2010. Introduction: Telework at the United States Patent and Trademark Office. Available at http://www.uspto.gov/about/Offices/cao/ TeleworkAnnual09FINAL_Section_508.pdf. Accessed May 15, 2011.

Uzarski, D.R. 2004. Knowledge-Based Condition Assessment Manual for Building Component-Sections. Champaign, Ill.: U.S. Army Corps of Engineers Construction Engineering Research Laboratory.

Uzarski, D.R. 2006. Deficiency vs. distress-based inspection and asset management approaches: A primer. APWA Reporter 73(6):50-52.

Uzarski, D.R., and L.A. Burley. 1997. Assessing building condition by the use of condition indexes. Pp. 365-374 in Proceedings of the ASCE Specialty Conference Infrastructure Condition Assessment: Art, Science, Practice. Reston, Va. August.

Uzarski, D.R., M.I. Darter, and M.R. Thompson. 1993. Development of Condition Indexes for Low-Volume Railroad Trackage. Transportation Research Record (Transportation Research Board, National Research Council) 1381, pp. 42-52.

Uzarski, D.R., N.M. Grussing, and J.B. Clayton. 2007. Knowledge-based condition survey inspection concepts. ASCE Journal of Infrastructure Systems 13(1):72-79.

Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×

Wald, M. 2009. Smart electric utility meters, intended to create savings, instead prompt revolt. New York Times. Pp. 1A and 16A. December 14.

Weber, E., N. Siebenmorgen, and M. Weber. 2005. Communicating asset risk: How recognition and the format of historic volatility information affect risk perception and investment decisions. Risk Analysis 25(3):597-609.

Whitestone Research and Jacobs Facilities Engineering. 2001. Implementation of the Department of Defense Sustainment Model: Final Report. Washington, D.C. January.

Williams, B., and P. Nayak. 1996. A model-based approach to reactive self-configuring systems. Proceedings of the National Conference on Artificial Intelligence 2:971-978.

Wisconsin. 2009. Building Information Modeling (BIM) Guidelines and Standards for Architects and Engineers, Division of State Facilities, Department of Administration. Available at ftp://doaftp04.doa.state.wi.us/master_spec/DSF%20BIM%20Guidelines%20&%20Standards/BIM%20Guidelines%20and%20Standards.pdf. Accessed June 16, 2011.

Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
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Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×
Page 110
Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×
Page 111
Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×
Page 112
Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×
Page 113
Suggested Citation:"References." National Research Council. 2012. Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities. Washington, DC: The National Academies Press. doi: 10.17226/13280.
×
Page 114
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The deteriorating condition of federal facilities poses economic, safety, operational, and environmental risks to the federal government, to the achievement of the missions of federal agencies, and to the achievement of public policy goals. Primary factors underlying this deterioration are the age of federal facilities--about half are at least 50 years old--and decades of inadequate investment for their maintenance and repair. These issues are not new and there are no quick fixes. However, the current operating environment provides both the impetus and the opportunity to place investments in federal facilities' maintenance and repair on a new, more sustainable course for the 21st Century. Despite the magnitude of investments, funding for the maintenance and repair of federal facilities has been inadequate for many years, and myriad projects have been deferred.

Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities identifies processes and practices for transforming the current portfolio of federal facilities into one that is more economically, physically, and environmentally sustainable. This report addresses ways to predict or quantify the outcomes that can be expected from a given level of maintenance and repair investments in federal facilities or facilities' systems, and what strategies, measures, and data should be in place to determine the actual outcomes of facilities maintenance and repair investments.

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