Abstract
Access management in transportation planning can save travel time, reduce crashes, and increase route capacities. The planning literature suggests a need for performance metrics and a decision-aiding framework to guide access management programs across large corridor networks and diverse time horizons. This paper describes a quantitative framework to support access management programs, applying multicriteria analysis and cost-benefit analysis with parameter uncertainties. The metrics used to assess relative priorities at existing access points include the following: travel time delay index, traffic exposure, value of time, and costs of typical access management activities. Uncertain parameters that influence the estimates of the potential benefits and costs are identified and treated via a numerical interval analysis. The framework is demonstrated at several geographic scales and locations including 7,000 km of highway arterials of a 110,000 square-kilometer region and several sub-regions. The results assist decision makers to identify route segments that should be addressed sooner by eliciting additional information, reserving right-of-way, closing access points, planning new alignments, facilitating development proffers, etc. The approach is transferable to other topics involving resource allocation for preservation and improvement of multiscale infrastructure systems.
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References
Adler MD, Posner EA (2001) Cost-benefit analysis: legal, economic, and philosophical perspectives. University of Chicago Press, Chicago
Concas S, Kolpakov A (2009) Synthesis of research on value of time and value of reliability. Florida Department of Transportation, Tallahassee. Retrieved from http://www.nctr.usf.edu/pdf/77806.pdf
Corotis RB (2007) Highway user travel time evaluation. J Transp Eng 133(12):663–669
Farrow S (2004) Using risk assessment, benefit-cost analysis, and real options to implement a precautionary principle. Risk Anal 24(3):727–735
Fiol M, Delong MW, Knaster P, Glendening C, Bohard J, Kay C, Lambert JH, Thekdi SA (2012) Best practices for risk-based forecasts of land volatility for corridor management and sustainable communities. Scan Team Report. NCHRP Project 20-68A, Scan 10-01. National Cooperative Highway Research Program. Retrieved from http://onlinepubs.trb.org/onlinepubs/nchrp/docs/NCHRP20-68A_10-01.pdf
Florida Department of Transportation (1990) Life-cycle cost analysis for transportation projects. Retrieved from http://www.dot.state.fl.us/projectmanagementoffice/Publications/LCCA.pdf
Florida Department of Transportation (2010) Maintenance and preservation. Retrieved from http://www.dot.state.fl.us/planning/performance/preservation.pdf
Gluck JS, Lorenz MR (2010) NCHRP SyntheSiS 404: state of the practice in highway access management. US Transportation Research Board, Washington. Retrieved from http://www.accessmanagement.info/pdf/nchrp_syn_404.pdf
Gluck JS, Levinson HS, Stover V (1999) NCHRP report 420: impacts of access management techniques. Washington
Haimes YY (2009) Risk modeling, assessment, and management. Wiley, Hoboken
Heiner JD, Kockelman KM (2005) Costs of right-of-way acquisition: methods and models for estimation. J Transp Eng 131(3):193–204
King AO (2006) Maintenance and preservation, a definition. Retrieved from http://www.crab.wa.gov/LibraryData/RESEARCH_and_REFERENCE_MATERIAL/Road_Maintenance/060206MaintenanceVSPreservation.doc
Kirk A, Pigman J, House B (2006) Quantification of the benefits of access management for Kentucky (No. KTC-06-16/SPR290-05-1F). Kentucky Transportation Center
Lambert JH, Farrington MW (2006) Risk-based objectives for the allocation of chemical, biological, and radiological air emissions sensors. Risk Anal 26(6):1659–1674
Lambert JH, Farrington MW (2007) Cost–benefit functions for the allocation of security sensors for air contaminants. Reliab Eng Syst Saf 92(7):930–946
Lambert JH, Joshi NN (2006) Benefits estimates of highway capital improvements with uncertain parameters. Virginia Department of Transportation, Richmond
Lambert JH, Thekdi SA, Zhou Q (2011) Land development risk analysis for multimodal transportation corridors. Virginia Center for Transportation Innovation and Research, Charlottesville. Retrieved from http://www.virginiadot.org/vtrc/main/online_reports/pdf/12-r7.pdf
Lambert JH, Turley T (2005) Priority setting for the distribution of localized hazard protection. Risk Anal 25(3):745–752
Li Z, Madanu S (2009) Highway project level life-cycle benefit/cost analysis under certainty, risk, and uncertainty: methodology with case study. J Transp Eng 135(8):516–526
Litman T (2009) Transportation cost and benefit analysis. Victoria Transport Policy Institute. Retrieved from http://www.vtpi.org/tca/tca01.pdf
Liu M, Hummer JE, Rasdorf WJ, Hollar DA (2011) Preliminary engineering cost trends for highway projects. North Carolina Department of Transportation, North Carolina
Madanu S, Li Z, Abbas M (2010) Life-cycle cost analysis of highway intersection safety hardware improvements. J Transp Eng 136(2):129–140
Marek MA (2011) Access management manual. Texas Department of Transportation. Retrieved from http://onlinemanuals.txdot.gov/txdotmanuals/acm/acm.pdf
Merrifield J (1997) Sensitivity analysis in benefit cost analysis: a key to increased use and acceptance. Contemp Econ Policy 15(3):82–92
Metz D (2008) The myth of travel time saving. Transp Rev 28(3):321–336
Minnesota Department of Transportation (2013) Benefit-cost analysis for transportation projects. Retrieved from http://www.dot.state.mn.us/planning/program/benefitcost.html
Oregon Department of Transportation (2011) The value of travel-time: estimates of the hourly value of time for vehicles in Oregon 2009. Retrieved from http://www.oregon.gov/ODOT/TD/TP/Tools/ValueTime.pdf
Perk VA, DeSalvo JS, Rodrigues TA, Versoza NM, Bovino SC (2011) Improving value of travel time savings estimation for more effective transportation project evaluation. Florida Department of Transportation, Tallahassee. Retrieved from http://www.dot.state.fl.us/research-center/Completed_Proj/Summary_PTO/FDOT_BDK85_977-21_rpt.pdf
Plazak D, Souleyrette R (2002) Process to identify high priority corridors for access management near large urban areas in Iowa. Iowa Department of Transportation, Iowa
Rogerson EC, Lambert JH, Johns AF (2013) Runway safety program evaluation with uncertainties of benefits and costs. J Risk Res 16(5):523–539
Schultz GG, Braley KT (2007) A prioritization process for access management. Implementation in Utah (No. UT-07.05a). Utah Department of Transportation, Salt Lake City. Retrieved from http://www.udot.utah.gov/main/uconowner.gf?n=7877224790307049
Stokey E, Zeckhauser R (1978) A primer for policy analysis. W.W. Norton, New York
Sullivan E, Burris M (2006) Benefit-cost analysis of variable pricing projects: SR-91 express lanes. J Transp Eng 132(3):191–198
Szimba E, Rothengatter W (2012) Spending scarce funds more efficiently—including the pattern of interdependence in cost-benefit analysis. J Infrastruct Syst 18(4):242–251
Transportation Research Board (2010) Highway capacity manual. Transportation Research Board, National Research Council, Washington
TRB Transportation Economics Committee (2013) Transportation benefit-cost analysis. Retrieved from https://sites.google.com/site/benefitcostanalysis/
Turnbull KF (2010) Benefit/cost analysis for transportation infrastructure: a practitioner’s workshop. US Department of Transportation, Washington
US Department of Transportation (2011) Revised departmental guidance on valuation of travel time in economic analysis. Retrieved from http://www.dot.gov/sites/dot.dev/files/docs/vot_guidance_092811c.pdf
US Federal Highway Administration (2000) Toolbox for regional policy analysis report. Retrieved from http://www.fhwa.dot.gov/planning/processes/tools/toolbox/methodologies/costbenefit_overview.cfm
US Federal Highway Administration (2003a) Benefits of access management Brochure. Retrieved from http://ops.fhwa.dot.gov/access_mgmt/docs/benefits_am_trifold.htm
US Federal Highway Administration (2003b) Economic analysis primer. Retrieved from http://www.fhwa.dot.gov/infrastructure/asstmgmt/primer00.cfm
US Federal Highway Administration (2007) Major project program cost estimating guidance. Retrieved from http://www.fhwa.dot.gov/ipd/pdfs/project_delivery/major_project_cost_guidance.pdf
Victoria Transport Policy Institute (2013) Transportation cost and benefit analysis II—travel time costs. Retrieved from http://www.vtpi.org/tca/tca0502.pdf
Zhou H, Williams KM, Farah W (2008) Methodology to evaluate the effects of access control near freeway interchange areas. J Transp Eng 134(12):504–511
Acknowledgments
The authors received support from the effort part form the Virginia Center for Transportation Innovation and Research, the US Federal Highway Administration, and the Virginia DOT. The authors are grateful to Chad Tucker, Robin Grier, Paul Grasewicsz, John Miller, Rob Hofrichter, Ben Mannell, Marsha Fiol, Rick Tambellini, and Amy O’Leary of the Virginia Department of Transportation. Former University of Virginia students who contributed to the data collection include Shital A. Thekdi, Andrew P. Watson, Natasha L. Hemminger, Philip A. Rinehart, John R. Fitzsimmons, R. John MacKenzie, and Zubin C. George.
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Xu, J., Lambert, J.H. Distributed travel time savings of a multiscale transportation access management program. Environ Syst Decis 33, 362–375 (2013). https://doi.org/10.1007/s10669-013-9459-0
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DOI: https://doi.org/10.1007/s10669-013-9459-0