North American Container Port Capacity: An Exploratory Analysis

This article investigates the current and forecasted disconnect in the utilization capacity of major ports with the actual volume of those ports. The research presented suggests that ports should plan for extensive capacity increases, as a number of capacity drivers are accelerating at a rate that ports and other stakeholders cannot match. The authors suggest that port capacity issues that must be handled include factors such as terminal and berth space. However, other primary factors such as local rail, road, and truck capacity, long-shore labor costs and efficiency are ignored in terms of volume as these factors appear to be beyond port control. Since this research methodology is mostly aimed at port authorities and their possible control as an element in the overall transportation network, the authors also suggest that it would be possible to repeat this research but taking into account other stakeholders of this network, such as longshore labor unions, railroads, motor carriers, shippers, and the government. As container volume has been increasing annually at a rate of 7 percent, the total volume experienced by stakeholders will double in the next decade. The article calls for an in-kind volume response by port authorities to accommodate for such an increase in solutions, such as productivity enhancements, physical expansion, and off-site solutions.

[1]  J. Daley,et al.  A COMPARATIVE ANALYSIS OF PORT SELECTION FACTORS , 1994 .

[2]  Iris F. A. Vis,et al.  Transshipment of containers at a container terminal: An overview , 2003, Eur. J. Oper. Res..

[3]  J. A. Pope,et al.  A Network Simulation of High-congestion Road-traffic Flows in Cities with Marine Container Terminals , 1995 .

[4]  Enzo Defilippi,et al.  Port Infrastructure: An Access Model for the Essential Facility , 2003 .

[5]  Wayne K. Talley,et al.  PERFORMANCE INDICATORS AND PORT PERFORMANCE EVALUATION , 1994 .

[6]  Eric C. Jackson,et al.  North American Container Port Capacity: A Literature Review , 2005 .

[7]  Kap Hwan Kim,et al.  Segregating space allocation models for container inventories in port container terminals , 1999 .

[8]  Amelia C. Regan,et al.  Freight industry attitudes towards policies to reduce congestion , 2000 .

[9]  T. Notteboom,et al.  Structural changes in logistics: how will port authorities face the challenge? , 2001 .

[10]  Amelia C. Regan,et al.  Local truckload pickup and delivery with hard time window constraints , 2002 .

[11]  W. K. Talley Dockworker Earnings, Containerisation, and Shipping Deregulation , 2002 .

[12]  Andrew Lim,et al.  The berth planning problem , 1998, Oper. Res. Lett..

[13]  W. K. Talley,et al.  Technology and labor relations: Railroads and ports , 2002 .

[14]  Erhan Kozan,et al.  An approach to determine storage locations of containers at seaport terminals , 2001, Comput. Oper. Res..

[15]  S. Pettit,et al.  Liner Shipping Companies and Terminal Operators: Internationalisation or Globalisation? , 2003 .

[16]  Sue Garstone Electronic data interchange (EDI) in port operations , 1995 .

[17]  Jose L. Tongzon,et al.  DETERMINANTS OF PORT PERFORMANCE AND EFFICIENCY , 1995 .

[18]  Richard F. Poist,et al.  Desired attributes of an inland port: Shipper vs. carrier perspectives , 2003 .

[19]  Chung-Lun Li,et al.  Interblock Crane Deployment in Container Terminals , 2002, Transp. Sci..

[20]  James Russell Bruner BRUNER SPEAKS HIS MIND , 2005 .

[21]  Ebru K. Bish,et al.  A multiple-crane-constrained scheduling problem in a container terminal , 2003, Eur. J. Oper. Res..

[22]  Ken Cottrill INTERMODAL SHIPPING AT THE CROSSROADS , 1997 .

[23]  Rodrigo A. Garrido,et al.  Port of destination and carrier selection for fruit exports: a multi-dimensional space-time multi-nomial probit model , 2004 .

[24]  G. Liang,et al.  Port choice behaviour--from the perspective of the shipper , 2003 .

[25]  P. Murphy,et al.  AN ANALYSIS OF SALES FORCE MANAGEMENT ACTIVITIES AMONG U.S. FREIGHT RAILROADS , 1988 .

[26]  M. C. Ircha,et al.  Port strategic planning: Canadian port reform , 2001 .

[27]  Amelia C. Regan,et al.  Trucking Industry Perceptions of Congestion Problems and Potential Solutions in Maritime Intermodal Operations in California , 1999 .

[28]  Claude Comtois The integration of China's port system into global container shipping , 1999 .

[29]  A Burgess,et al.  No Need for Speed in Short Sea Shipping , 2004 .

[30]  Hark Hwang,et al.  Sequencing delivery and receiving operations for yard cranes in port container terminals , 2003 .

[31]  W T Walker,et al.  Network economies of scale in short haul truckload operations , 1992 .

[32]  Wolfgang Riggert,et al.  Electronic Data Interchange EDI , 1998 .

[33]  W. K. Talley Wage Differentials of Intermodal Transportation Carriers and Ports: Deregulation Versus Regulation , 2004 .

[34]  Chung-Lun Li,et al.  A multiprocessor task scheduling model for berth allocation: heuristic and worst-case analysis , 2002, Oper. Res. Lett..

[35]  Paul R. Murphy,et al.  Assessing International Port Operations , 1989 .

[36]  Chan S. Park,et al.  An interactive port capacity expansion simulation model , 1987 .

[37]  Kap Hwan Kim,et al.  An Optimal Routing Algorithm for a Transfer Crane in Port Container Terminals , 1999, Transp. Sci..

[38]  Steven Miller Coming Up Short: , 2005 .

[39]  Thomas W. McNeilan,et al.  PROBING THE PORT OF LOS ANGELES , 1993 .

[41]  E. Shayan,et al.  The importance of information technology in port terminal operations , 2000 .

[42]  Gordon Wilmsmeier,et al.  Port Efficiency and International Trade: Port Efficiency as a Determinant of Maritime Transport Costs , 2003 .

[43]  P. De,et al.  An Alternative Approach to Efficiency Measurement of Seaports , 2004 .

[44]  Dong-Wook Song,et al.  A Competitive Analysis of Chinese Container Ports Using the Analytic Hierarchy Process , 2004 .

[45]  Wayne K. Talley,et al.  Ocean Container Shipping: Impacts of a Technological Improvement , 2000 .

[46]  D. Schrank,et al.  THE 2004 URBAN MOBILITY REPORT , 2002 .

[47]  Thomas A. Grigalunas,et al.  A Spatial-Economic Multimodal Transportation Simulation Model For US Coastal Container Ports , 2003 .

[48]  Adib Kanafani,et al.  A disaggregate analysis of port selection , 2004 .

[49]  W. C. Ng,et al.  Crane scheduling in container yards with inter-crane interference , 2005, Eur. J. Oper. Res..

[50]  Akio Imai,et al.  Berth allocation planning in the public berth system by genetic algorithms , 2001, Eur. J. Oper. Res..

[51]  Adib Kanafani,et al.  A disaggregate analysis of factors influencing port selection , 2001 .

[52]  H. Meersman,et al.  Co-operation and competition in international container transport: strategies for ports , 2001 .

[53]  Bruce L. Golden,et al.  Using simulation to study the impact of work rules on productivity at marine container terminals , 1991, Comput. Oper. Res..

[54]  Martin Dresner,et al.  NORTH AMERICAN CONTAINERPORT PRODUCTIVITY: 1984-1997 , 2004 .

[55]  Kap Hwan Kim,et al.  A crane scheduling method for port container terminals , 2004, Eur. J. Oper. Res..

[56]  Carlos A. Bana e Costa,et al.  Conflict dissolution in the public sector: A case-study , 2001, Eur. J. Oper. Res..

[57]  Tan Boon Wan,et al.  The use of information technology by the port of Singapore authority , 1992 .

[58]  Kap Hwan Kim,et al.  A routing algorithm for a single transfer crane to load export containers onto a containership , 1997 .

[59]  Richard J. Linn,et al.  Dynamic crane deployment in container storage yards , 2002 .

[60]  Brian Slack Across the pond: container shipping on the North Atlantic in the era of globalisation , 1999 .

[61]  Richard J. Linn,et al.  Storage space allocation in container terminals , 2003 .

[62]  Piyush Tiwari,et al.  Shippers' Port and Carrier Selection Behaviour in China: A Discrete Choice Analysis , 2003 .