Data and Modeling Issues Faced during the Efficiency Measurement of Road Maintenance Using Data Envelopment Analysis
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Volume 16, Issue 1
Abstract
Within the past two decades, the road maintenance concept has been gaining tremendous attention. This has brought about new institutional changes, predominant of which is the challenge for maintenance managers to achieve maximum performance from the existing road system. Such challenge makes it imperative to implement comprehensive systems that measure road maintenance performance. However, as pointed out by the Transportation Research Board, even though the road maintenance performance measurement systems developed and implemented by the state departments of transportation elaborate on the maintenance level of service (i.e., effectiveness of the road maintenance), the fundamental relationships between the maintenance level of service and the budget requirements (i.e., efficiency of road maintenance) need more investigation. This is mainly because not knowing how “efficient” state departments of transportation are in being “effective” can lead to excessive and unrealistic maintenance budget expectations. In an effort to address this need, this research aims to develop and implement a comprehensive framework that can measure the overall efficiency of road maintenance operations. This framework is designed to consider the effects of environmental (e.g., climate, location, etc.) and operational (e.g., traffic, load, etc.) factors on such overall efficiency. This paper introduces the efficiency measurement framework and specifically provides an overview of the data and modeling issues faced during the early stages of the implementation of the framework to the Virginia Department of Transportation’s case for the maintenance of bridges.
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Acknowledgments
The research work described in this paper has been funded by VDOT and the National Science Foundation (NSF Grant No. NSF0726789). The opinions and findings are those of the writers and do not necessarily represent the views of VDOT or NSF. The writers thank the reviewers for their constructive and useful comments.
References
Banker, R. D., and Morey, R. C. (1986a). “Efficiency analysis for exogenously fixed inputs and outputs.” Oper. Res., 34(4), 513–521.
Banker, R. D., and Morey, R. C. (1986b). “The use of categorical variables in data envelopment analysis.” Manage. Sci., 32(12), 1613–1627.
Boussofiane, A., Dyson, R. G., and Thanassoulis, E. (1991). “Applied data envelopment analysis.” Eur. J. Oper. Res., 52(1), 1–15.
Burley, H. T. (2006). “Accounting for the influence of the environment in a two-stage analysis—Public hospitals.” Productivity analysis in the service sector with data envelopment analysis, N. K. Avkiran, ed., Ipswich, Australia, 181–192.
Caltrans. (1998). Highway maintenance manual, State of California, Sacramento, Calif.
Charnes, A., Cooper, W. W., Lewin, A. Y., and Seiford, L. M. (1994). Data envelopment analysis: Theory, methodology, and applications, Kluwer Academic, Boston.
Charnes, A., Cooper, W. W., and Rhodes, E. (1978). “Measuring the efficiency of decision making units.” Eur. J. Oper. Res., 2(6), 429–444.
Chasey, A. D., de la Garza, J. M., and Drew, D. R. (1997). “Comprehensive level of service: Needed approach for civil infrastructure systems.” J. Infrastruct. Syst., 3(4), 143–153.
Cook, W. D., Kazakov, A., and Roll, Y. (1994). “On the measurement of relative efficiency of highway maintenance patrols.” Data envelopment analysis: Theory, methodology, and applications, A. Charnes, W. W. Cooper, A. Y. Lewin, and L. M. Seiford, eds., Kluwer Academic, Boston, 195–210.
Cook, W. D., Roll, Y., and Kazakov, A. (1990). “A DEA model for measuring the relative efficiency of highway maintenance patrols.” INFOR, 28(2), 113–123.
Cooper, W. W., Seiford, L. M., and Tone, K. (1999). Data envelopment analysis: A comprehensive text with models, applications, references, and DEA-solver software, Kluwer Academic, Boston.
Craig, C. E., and Harris, R. C. (1973). “Total productivity measurement at the firm level.” Sloan Manage. Rev., 14(3), 13–29.
Dadson, D. K. (2001). “Impact of environmental classification on steel girder bridge elements using bridge inspection data.” Ph.D. dissertation, Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
Dadson, D. K., de la Garza, J. M., and Weyers, R. E. (2002). “Service life and impact of Virginia environmental exposure condition on paint on steel girder bridges.” J. Infrastruct. Syst., 8(4), 149–159.
de la Garza, J. M. (2007). “Spring 2007 I-64 east from MM 200.94 to MM 268.0 turnkey asset maintenance services evaluation.” Rep. prepared for the Virginia Department of Transportation, Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
de la Garza, J. M., Drew, D. R., and Chasey, A. D. (1998). “Simulating highway infrastructure management policies.” J. Manage. Eng., 14(5), 64–72.
de la Garza, J. M., Groesbeck, R., Triantis, K., Van Aken, E., Ozbek, M., and Burde, A. (2005). Evaluation of alternative approaches to highway maintenance—Proposal submitted to the Virginia Department of Transportation, Virginia Polytechnic Institute and State University, Blacksburg, Va.
de la Garza, J. M., Triantis, K., and Fallah-Fini, S. (2009). “Efficiency measurement of highway maintenance strategies using data envelopment analysis.” Proc., 2009 NSF Engineering Research and Innovation Conf., NSF CMMI, Honolulu.
Drucker, P. F. (1967). The effective executive, 1st Ed., Harper & Row, New York.
Dunlop, R. J. (1999). “Managing performance of a highway system in the 21st century.” Proc., World Road Association PIARC Congress, World Road Association, Kuala Lumpur, Malaysia.
Dyson, R. G., Allen, R., Camanho, A. S., Podinovski, V. V., Sarrico, C. S., and Shale, E. A. (2001). “Pitfalls and protocols in DEA.” Eur. J. Oper. Res., 132(2), 245–259.
Epstein, M. K., and Henderson, J. C. (1989). “Data envelopment analysis for managerial control and diagnosis.” Decision Sci., 20, 90–119.
Fitch, G. M., Bartelt-Hunt, S., and Smith, J. A. (2005). “Characterization and environmental management of storm water runoff from road salt storage facilities.” Transportation Research Record. 1911, Transportation Research Board, Washington, D.C., 125–132.
Flintsch, G. W. (2004). “Assessment of the performance of several roadway mixes under rain, snow, and winter maintenance activities.” Rep No. VTRC 04-CR18, VTRC, Charlottesville, Va.
Golany, B., and Roll, Y. (1989). “An application procedure for DEA.” OMEGA Int. J. Management Science, 17(3), 237–250.
Golany, B., and Roll, Y. (1993). “Some extensions of techniques to handle non-discretionary factors in data envelopment analysis.” J. Prod. Anal., 4(4), 419–432.
Greitzer, M. S. (1976). “Role of and need for maintenance feedback.” Transp. Res. Rec., 613, 59–61.
JLARC. (2002). Adequacy and management of VDOT's highway maintenance program, Commonwealth of Virginia, Richmond, Va.
Mirza, S. (2006). “Durability and sustainability of infrastructure—A state-of-the-art report.” Can. J. Civ. Eng., 33, 639–649.
Misra, R., and Das, A. (2003). “Identification of homogeneous sections from road data.” Int. J. Pavement Eng., 4, 229–233.
Muniz, M., Paradi, J., Ruggiero, J., and Yang, Z. (2006). “Evaluating alternative DEA models used to control for non-discretionary inputs.” Comput. Oper. Res., 33(5), 1173.
Ozbek, M. E. (2004). “Development of performance warranties for performance based road maintenance contracts.” MS thesis, Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
Ozbek, M. E. (2007). “Development of a comprehensive framework for the efficiency measurement of road maintenance strategies using data envelopment analysis.” Ph.D. dissertation, Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
Ozbek, M. E., de la Garza, J. M., and Triantis, K. (2010). “Efficiency measurement of bridge maintenance using data envelopment analysis.” J. Infrastruct. Syst., 16(1), 31.
Piñero, J. C. (2003). “A framework for monitoring performance-based road maintenance—Ph.D. dissertation.” Ph.D. dissertation, Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
Ramanathan, R. (2003). An introduction to data envelopment analysis: A tool for performance measurement, Sage, Thousand Oaks, Calif.
Rouse, P. (1997). “A methodology of performance measurement with applications using data envelopment analysis.” Ph.D. dissertation, Univ. of Auckland, Auckland, New Zealand.
Rouse, P., Putterill, M., and Ryan, D. (1997a). “Methodologies for the treatment of environmental factors in DEA.” Working paper, Univ. of Auckland, Auckland, New Zealand.
Rouse, P., Putterill, M., and Ryan, D. (1997b). “Towards a general managerial framework for performance measurement: A comprehensive highway maintenance application.” J. Prod. Anal., 8, 127–149.
Ruggiero, J. (1996). “On the measurement of technical efficiency in the public sector.” Eur. J. Oper. Res., 90(3), 553–565.
Ruggiero, J. (1998). “Non-discretionary inputs in data envelopment analysis.” Eur. J. Oper. Res., 111, 461–469.
Sexton, T. R. (1986). “The methodology of data envelopment analysis.” Measuring efficiency: An assessment of data envelopment analysis, R. H. Silkman, ed., Jossey-Bass, San Francisco.
Silkman, R. H. (1986). “Editor's notes.” Measuring efficiency: An assessment of data envelopment analysis, R. H. Silkman, ed., Jossey-Bass, San Francisco.
Simar, L., and Wilson, P. W. (2003). “Estimation and inference in two-stage, semi-parametric models of production processes.” Rep. No. 0307, Institut de Statistique, Belgium.
Simpson, A. L., Ostrom, B. K., and Schmalzer, P. N. (2006). “Guidelines for the collection of long-term pavement performance data.” Rep. No. FHWA-HRT-06-067, FHWA, McLean, Ill.
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world, McGraw-Hill, New York.
Stivers, M. L., Smith, K. L., Hoerner, T. E., and Romine, A. R. (1997). Maintenance QA program: Implementation manual, NCHRP, Washington, D.C.
Thanassoulis, E. (2001). Introduction to the theory and application of data envelopment analysis, Kluwer Academic, Boston.
TRB. (1997). “Project 14-12: Highway maintenance quality assurance.” NCHRP Web Document 8, Transportation Research Board of the National Academies, Washington, D.C.
TRB. (2006). “Maintenance and operations of transportation facilities 2005 strategic vision.” Rep. No. E-C092, Transportation Research Board of the National Academies, Washington, D.C.
Triantis, K. (2005). “Efficiency measures and data envelopment analysis.” ISE 5144 fall 2005 class notes, Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
Vaneman, W., and Triantis, K. (2007). “Evaluating the productive efficiency of dynamical systems.” IEEE Trans. Eng. Manage., 54(3), 600–612.
VDOT. (2005). Request for proposals for turnkey asset management services, Commonwealth of Virginia, Richmond, Va.
Venner, M. (2005). “Maintenance quality management and environmental stewardship-best practices in information management and decision support.” J. Transportation Research Board, 1911, 2–12.
Williams, A. L., and Stensland, G. J. (2006). Atmospheric dispersion study of deicing salt applied to roads. Part II: Final report for period July 2002 to June 2004.” Physical Research Rep. No. 140, Illinois State Water Survey Atmospheric Environment Section, Champaign, Ill.
Xue, M., and Harker, P. T. (1999). “Overcoming the inherent dependency of DEA efficiency scores: A bootstrap approach.” Rep. No. 99-17, Univ. of Pennsylvania, Philadelphia.
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Received: Oct 8, 2007
Accepted: Jul 22, 2009
Published online: Feb 12, 2010
Published in print: Mar 2010
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