Assessing Public Benefits and Costs of Freight Transportation Projects: Measuring Shippers' Value of Delay on the Freight System

Freight delay is detrimental to the national economy. In an effort to gauge the economic impact of freight delay due to highway congestion, this project focuses on estimating shippers’ value of delay (VOD). The authors have accomplished this through three strategies to monetize the impacts of congestion on shippers’ operations: (1) Three half-structured on-site interviews with shipping managers in different type of industries were conducted to obtain insights into their daily logistic operations and their subjective assessment of the delay impacts. In light of the interviews, a comprehensive survey of major manufacturers and wholesalers within Texas and Wisconsin was conducted. (2) The analytical hierarchy process (AHP) and willingness-to-pay (WTP) method were then applied to quantify the impact of congestion on shippers. The AHP reveals that among four possible delay components, en route transportation delay is the most important, which justifies WTP evaluating the value of highway congestion delay. The authors have found a value of $56 per hour for congestion. Furthermore, a value of $0.4 per percentage delay was also calculated for transportation time reliability using individual defined travel time. (3) An analytical inventory model was used to examine the value of delay in view of mean and reliability of transit time for shipment receivers. Nine industrial groups were analyzed. For example, shippers in the chemical industry are calculated to have an additional $13.89 cost on a truckload delivery if the transit time is expected to increase by one hour. The random delay has an average of $31.04 per hour per truckload delivery.

[1]  Leroy B. Schwarz,et al.  Leadtime reduction in a (Q,r) inventory system: An agency perspective , 2007 .

[2]  M. Javad Paknejad,et al.  Lead-time variability reduction in stochastic inventory models , 1992 .

[3]  D. Gross,et al.  The Effect of Reducing Leadtime on Inventory Levels-Simulation Analysis , 1969 .

[4]  Glen Weisbrod,et al.  ECONOMIC IMPLICATIONS OF CONGESTION , 2001 .

[5]  Marcus Wigan VALUING LONGHAUL AND METROPOLITAN FREIGHT TRAVEL TIME AND RELIABILITY , 1998 .

[6]  Dan Murray,et al.  Analysis of Operational Costs of Trucking , 2008 .

[7]  L M Wynter,et al.  THE VALUE OF TIME OF FREIGHT TRANSPORT IN FRANCE: ESTIMATION OF CONTINUOUSLY DISTRIBUTED VALUES FROM A STATED PREFERENCE SURVEY. , 1995 .

[8]  Robert M. Schwab,et al.  The Impact of Environmental Regulation on Industry Location Decisions: The Motor Vehicle Industry , 1990 .

[9]  George Tagaras,et al.  Effects of pooling on the optimization and service levels of two-location inventory systems , 1989 .

[10]  Donald Gross,et al.  On the economic application of airlift to product distribution and its impact on inventory levels , 1972 .

[11]  Katherine J Fender,et al.  An Analysis of the Operational Costs of Trucking: A 2013 Update , 2013 .

[12]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[13]  Amy Z. Zeng,et al.  ESTIMATING THE EFFECTS OF CARRIER TRANSIT-TIME PERFORMANCE ON LOGISTICS COST AND SERVICE , 1998 .

[14]  Aura Reggiani,et al.  Freight Transport and the Value of Travel Time Savings: A Meta‐analysis of Empirical Studies , 2007 .

[15]  W G Waters,et al.  THE VALUE OF COMMERCIAL VEHICLE TIME SAVINGS FOR THE EVALUATION OF HIGHWAY INVESTMENTS: A RESOURCE SAVING APPROACH , 1995 .

[16]  Chad Lynn McCauley Shirley Firm Inventory Behavior and the Returns from Infrastructure Investment , 2000 .

[17]  Asad J. Khattak,et al.  Economic Impact of Traffic Incidents on Businesses , 2008 .

[18]  Maja Piecyk,et al.  Reliability of Road Transport from the Perspective of Logistics Managers and Freight Operators , 2008 .

[19]  Frank Witlox,et al.  Determining the Monetary Value of Quality Attributes in Freight Transportation Using a Stated Preference Approach , 2005 .

[20]  A. McKinnon THE EFFECT OF TRAFFIC CONGESTION ON THE EFFICIENCY OF LOGISTICAL OPERATIONS. IN: TRANSPORT LOGISTICS , 1999 .

[21]  Juha Mikola,et al.  Value of Time in Freight Transport in Finland , 2000 .

[22]  D. Hensher,et al.  Analyzing loss aversion and diminishing sensitivity in a freight transport stated choice experiment , 2010 .

[23]  Maja Piecyk,et al.  Traffic congestion, reliability and logistical performance: a multi-sectoral assessment , 2009 .

[24]  Metin Çakanyildirim,et al.  Random lead times and expedited orders in (Q, r) inventory systems , 1999, Eur. J. Oper. Res..

[25]  Hugh Finlay,et al.  Impact of Traffic Congestion on Trade and Strategies for Mitigation , 2004 .

[26]  Julian Allen,et al.  Forecasting the future of road freight transport and distribution in Britain , 1997 .

[27]  M. Javad Paknejad,et al.  Investing in Lead-Time Variability Reduction in a Quality-Adjusted Inventory Model with Finite-Range Stochastic Lead-Time , 2008, Adv. Decis. Sci..

[28]  G Blanchard HIGHWAYS AND LOGISTICS AND PRODUCTION PERFORMANCE , 1996 .

[29]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[30]  J. Oosterhaven,et al.  Regional impacts of new transport infrastructure: a multisectoral potentials approach , 1987 .

[31]  Michael C. Fu,et al.  Estimating customer service in a two-location continuous review inventory model with emergency transshipments , 2003, Eur. J. Oper. Res..

[32]  D. Blumenfeld Operations Research Calculations Handbook , 2001 .

[33]  Van de Kaa Sign-dependent Value of Time in Stated Preference: Judgment Bias or Exposure of Genuine Preference? , 2010 .

[34]  W G Adkins,et al.  VALUES OF TIME SAVINGS OF COMMERCIAL VEHICLES , 1967 .

[35]  G. Weisbrod,et al.  Defining the Range of Urban Congestion Impacts on Freight and Their Consequences for Business Activity , 2008 .