Simulation Model to Prioritize Right-of-Way Acquisitions
Publication: Journal of Infrastructure Systems
Volume 20, Issue 1
Abstract
The costs involved in right-of-way (ROW) acquisition are rapidly increasing, making it more difficult for agencies to complete projects on time and budget. When funds are constrained, the question of what parcels should be purchased first to minimize the overall costs becomes relevant. The answer is related to the timing of the acquisition process and even opens the possibility of early ROW acquisition. Traditionally, early ROW purchases are selected based on expert judgment and on individual analyses, resulting in purchasing too late and having no substantial savings, if any. This paper presents an event-driven simulation model developed by Texas A&M for the Texas Department of Transportation (TxDOT) to estimate costs and predict potential savings under different ROW acquisition scenarios. The Texas A&M Simulation Model (TAMSIM) is used to assist in prioritizing what parcels should be purchased first due to their likelihood of having a substantial cost increase. Four projects (Metro-East, Urban-North, Urban-South, and Rural-West) are used as case studies to demonstrate the applicability of TAMSIM.
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Acknowledgments
The authors want to acknowledge the strong support of Ron Hagquist, who was TxDOT’s project coordinator for the research project 0-5554 “Asset Management—Texas Style.”
References
Amekudzi, A. (1999). “Uncertainty analysis of national highway performance measures in the context of evolving analysis models and data.” Doctoral dissertation, Carnegie Mellon Univ., Pittsburg, PA.
Amekudzi, A., and McNeil, S. (2000). “Capturing data and model uncertainties in highway performance estimation.” J. Transp. Eng., 455–463.
Antoniou, C. (1997). “Demand simulation for dynamic traffic assignment.” M.S. thesis, Dept. of Civil Engineering and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA.
Blank, L., and Tarquin, A. (2012). Engineering economy, 7th Ed., McGraw-Hill, New York.
Caldas, C. H., Zhang, Z., Kockelman, K. M., Persad, K. R., Al Halabi, R., and Kincaid, E. (2011). “Development of best practices for right-of-way valuation and negotiations in transportation projects.” J. Transp. Res. Forum, 50(3), 23–41.
Consiglio, A., and Zenios, S. A. (1999). “Designing portfolios of financial products via integrated simulation and optimization models.” Oper. Res., 47(2), 195–208.
Davis, C. F., and Van Dine, P. (1988). “Linear programming model for pavement management.” Transp. Res. Rec., 1200, 71–75.
Ferrerira, A., Antunes, A., and Picado-Santos, L. (2002). “Probabilistic segment-linked pavement management optimization model.” J. Transp. Eng., 568–577.
Francis, D. (2009). “Asset management application towards an improved right of way acquisition.” M.S. thesis, Univ. of Texas at El Paso, El Paso, TX.
Gabriel, S. A., Ordónez, J. F., and Faria, J. A. (2006). “Contingency planning in project selection using multiobjective optimization and chance constraints.” J. Infrastruct. Syst., 112–120.
Hakimi, S., and Kockleman, K. M. (2005). “Right-of-way acquisition and property condemnation: A comparison of U.S. state laws.” J. Transp. Res. Forum, 44(3), 45–58.
Heiner, J. D., and Kockelman, K. M. (2005). “The costs of right of way acquisition: Methos and models for estimation.” J. Transp. Eng., 193–204.
Hudson, S. W. (1987). “Bridge management systems.” NCHRP Rep. 300, Project 12-28(2), Transportation Research Board, National Research Council, Washington, DC.
Krugler, P. (2010). “Development of decision-making support tools for early right of way acquisitions.” Rep. 0-5534-2, C. Chang-Albitres, R. Feldman, S. Butenko, D. Kang, and R. Seyedshohadaie, eds., Texas Transportation Institute, The Texas A&M Univ. System, College Station, TX.
Seshadri, S., Khanna, A., Harche, F., and Wyle, R. (1999). “A method for strategic asset-liability management with an application to the Federal Home Loan Bank of New York.” Oper. Res., 47(3), 345–360.
Texas Dept. of Transportation (TxDOT). (2009). “Project summary 0-5534: Asset manegement-Texas Style.” 〈ftp://ftp.dot.state.tx.us/pub/txdot-info/rti/psr/5534.pdf〉 (Jun. 22, 2012).
Texas Dept. of Transportation (TxDOT). (2010). “State purchase of right of way.” 〈https://ftp.dot.state.tx.us/pub/txdot-info/row/booklet_15.500.pdf〉 (Sep. 11, 2012).
Turkiyyah, G. M. (2005). “Virtual training tools for transportation infrastructure construction.” Technical Rep., J. P. Maloney, and D. Batchelor, eds., Univ. of Washington, Seattle, WA.
Worzel, K. J., Vassiadou-Seniou, C., and Zenois, S. A. (1994). “Integrated simulation and optimization models for tracking of fixed-income securities.” Oper. Res., 42(2), 223–233.
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© 2013 American Society of Civil Engineers.
History
Received: Apr 14, 2012
Accepted: Dec 3, 2012
Published online: Dec 5, 2012
Published in print: Mar 1, 2014
Discussion open until: May 11, 2014
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