Work Zone Planning in Pavement Rehabilitation: Integrating Cost, Duration, and User Effects
Publication: Journal of Construction Engineering and Management
Volume 140, Issue 11
Abstract
This paper describes a methodology developed to support decision makers in planning work zones for pavement maintenance and rehabilitation interventions, integrating cost, duration, and user effects. The methodology relies on two key stages. First, a computer model generates the set of feasible options for work zone layouts and schedules, and combines them to include all options for the intervention’s planning and undertaking. Subsequently, a multiple-criteria decision model is used to compare all the alternatives included in the previously obtained set using agency cost, duration, and traffic delay as criteria, according to the weightings that correspond to the decision-maker’s preferences. It constitutes an advance in the current knowledge by avoiding the prior characterization of each alternative and, based on the novel integration of the mentioned criteria, pointing towards the set of alternatives that merit additional analysis. Two case studies with different traffic levels are discussed, showing the capabilities of this methodology while identifying the most adequate alternatives for each context.
Get full access to this article
View all available purchase options and get full access to this article.
References
Benekohal, R. F., Kaja-Mohideen, A. Z., and Chitturi, M. V. (2004). “Methodology for estimating operating speed and capacity in work zones.”, Transportation Research Board, Washington, DC, 103–111.
Bennett, C. R., and Greenwood, I. D. (2001). Modelling road user and environmental effects in HDM-4 (HDM-4 Reference Volume 7), The Highway Development and Management Series, PIARC, Paris.
Chen, C. H., and Schonfeld, P. (2005). “Work zone lengths for a four-lane road with an alternate route.” J. Transp. Eng., 780–789.
Chien, S., Goulias, D. G., Yahalom, S., and Chowdhury, S. M. (2002). “Simulation-based estimates of delays at freeway work zones.” J. Adv. Transp., 36(2), 131–156.
Chitturi, M. V., Benekohal, R. F., and Kaja-Mohideen, A. Z. (2008). “Methodology for computing delay and user costs in work zones.”, Transportation Research Board, Washington, DC, 31–38.
Collura, J., Heaslip, K. P., Moriarty, K., Wu, F., Khanta, R., and Berthaume, A. (2010). “Simulation models for assessment of the impacts of strategies for highway work zones eight case studies along interstate highways and state routes in New England.”, Transportation Research Board, Washington, DC, 62–69.
Costa, C. B., Corte, J. M. D., and Vansnick, J. C. (2005). “M-MACBETH Version 1.1 User’s Guide.” 〈http://www.m-macbeth.com/help/pdf/M-MACBETH_User’s_Guide.pdf〉 (Jun. 3, 2011).
Daniels, G., Stockton, W. R., and Hundley, R. (2000). “Estimating road user costs associated with highway construction projects - Simplified method.”, Transportation Research Board, Washington, DC, 70–79.
Edara, P., and Chatterjee, I. (2010). “Multivariate regression for estimating driving behavior parameters in work zone simulation to replicate field capacities.” Transport. Lett., 2(3), 175–186.
Federal Highway Administration (FHWA). (2013). “QuickZone: A new work zone delay estimation tool.” 〈http://www.ops.fhwa.dot.gov/wz/traffic_analysis/quickzone/index.html〉 (Sep. 30, 2013).
Goodwin, P., and Wright, G. (2004). Decision analysis for management judgment, Wiley, Chichester, UK.
Haas, R. (2001). “Reinventing the (pavement management) wheel.” Proc., Fifth Int. Conf. On Managing Pavements, Seattle, WA.
Hall, K. T., Correa, C. E., Carpenter, S. H., and Elliot, R. P. (2003). “Guidelines for life-cycle cost analysis of pavement rehabilitation strategies.” Proc., 82nd Annual Meeting of the Transportation Research Board, National Research Council, Washington, DC.
Herbsman, Z. J., Chen, W. T., and Epstein, W. C. (1995). “Time is money: Innovative contracting methods in highway construction.” J. Constr. Eng. Manage., 273–281.
Jiang, X., and Adeli, H. (2003). “Freeway work zone traffic delay and cost optimization model.” J. Transp. Eng., 230–241.
Lee, E. B., and Ibbs, C. W. (2005). “Computer simulation model: Construction analysis for pavement rehabilitation strategies.” J. Constr. Eng. Manage., 449–458.
Lee, E. B., Ibbs, C. W., and Thomas, D. (2005). “Minimizing total cost for urban freeway reconstruction with integrated construction/traffic analysis.” J. Infrastruct. Syst., 250–257.
Mahoney, K. M., Porter, R. J., Taylor, D. R., Kulakowski, B. T., and Ullman, G. L. (2007). “Design of construction work zones on high-speed highways.”, Transportation Research Board, Washington, DC.
Tang, Y. M., and Chien, S. I. J. (2008). “Scheduling work zones for highway maintenance projects considering a discrete time-cost relation.”, Transportation Research Board, Washington, DC, 21–30.
Walls, J., and Smith, M. R. (1998). “Life-cycle cost analysis in pavement design-interim technical bulletin.”, Washington, DC.
Weng, J., and Meng, Q. (2011). “A decision tree-based model for work zone capacity estimation.” Proc., 90th Annual Meeting of the Transportation Research Board, National Research Council, Washington, DC.
Information & Authors
Information
Published In
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Nov 9, 2013
Accepted: Apr 25, 2014
Published online: Jun 25, 2014
Published in print: Nov 1, 2014
Discussion open until: Nov 25, 2014
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.