North American Container Port Capacity: An Exploratory Analysis
Posted on: Saturday, 3 September 2005, 03:01 CDT
Abstract
Major North American container ports were surveyed for their opinions of capacity concerns in consideration of rapidly rising container volumes. The results indicate several areas of concern. For one, the ports expect capacity issues to worsen in the next ten years, implying current congestion problems will also deteriorate. The ports are also highly concerned about a considerable number of capacity drivers, many of which are controlled by other stakeholders including governments, railroads, truck carriers, and labor unions. These results point to a need for an immediate and coordinated approach among multiple stakeholders to address imminent port capacity issues.
North American container ports handled more than 35 million TEUs1 carrying $1 trillion of goods in 2003 (National Chamber Foundation of the U.S. Chamber of Commerce 2003; American Association of Port Authorities 2004). Over the last twenty years, container volumes have grown at an average annual rate of 7 percent (Figure 1), but port capacity expansion has not necessarily kept pace with volume growth. In fact, several studies indicate imminent container port capacity deficits (Wilbur Smith Associates 2001; National Chamber Foundation of the U.S. Chamber of Commerce 2003). As further evidence, shippers encountered numerous service issues during the 2004 peak shipping season caused by capacity-induced congestion at West Coast ports (Mongelluzzo 2004e; Mongelluzzo 2004g). Capacity problems have also incited several industry executives to question the future viability of the North American container port network (Armbruster 2004b, Leach 2004e, Mottley 2005).
A shortfall of container port capacity is driven by several factors. First, North American ports tend to be significantly less efficient than their foreign counterparts (National Chamber Foundation of the U.S. Chamber of Commerce 2003). So the ports have relied heavily on costly, time-consuming facility and labor expansion to meet volume increases, but this expansion has generally lagged behind volume growth. Another capacity shortfall is caused by the lack of collaboration among the numerous stakeholders affecting port capacity, including port authorities, longshore labor, terminal operators, railroads, drayage carriers, and governments. Total port throughput capacity cannot be increased without synchronized, joint planning among these stakeholders, but there have been only anecdotal instances of such collaboration. A third driver of port capacity shortages is the unevenness of container flows caused by seasonal volume peaks, increasing vessels sizes, and imbalanced import versus export flows (Mongelluzzo 2005b). These factors amplify port capacity growth requirements well beyond the 7 percent average annual volume growth. Finally, several recent unforeseen events, including labor strikes, military deployments, and weather problems, have temporarily reduced capacity at some ports, thus putting further capacity strains on others as container volumes are redirected.
Figure 1. Container Volume History and Forecast: Continental United States and Canada
North America has a growing port capacity problem, and the ensuing congestion is significantly detrimental to global supply chains. Port congestion triggers increased ocean carrier costs due to in-transit scheduling adjustments, reductions in effective capacity, and higher fuel and labor costs. The carriers then pass along these costs to shippers in the form of surcharges and rate increases. Port congestion also leads to unpredictable shipment delays, causing shippers to increase inventory levels and adjust supply networks to minimize risk of stockouts and shutdowns. As a whole, these higher costs and increased shipment delays significantly reduce supply chain productivity. In the extreme though not unlikely case, continued capacity and congestion problems will deter world trade and impact the economic stability of not only North America but also the countless countries relying on North American imports and exports.
LITERATURE REVIEW
Ports and their supporting distribution networks are complex entities. For instance, the port itself actually consists of three primary units: the port authority that manages port development and serves as facility landlord; the terminal operators that manage port operations; and the longshore labor that provides container loading and unloading services. These internal yet relatively autonomous stakeholders influence various dimensions of port capacity. Furthermore, several external stakeholders, including railroads and dray truck carriers that transport containers in and out of the port, also significantly impact port capacity. Governments at federal, state, and local levels as well as shippers and local communities have further capacity influences. Given the internal and external stakeholders, a review of previous research must thus not only focus on the ports but also expand externally to railroads, truck carriers, governments, and beyond.
Table 1. Port Capacity Literature
In a previous study, Maloni and Jackson (2005) conducted a rigorous literature review on port capacity, demonstrating the diversity and scope of relevant port capacity research. Selected works from this article are presented in Table 1, categorized by capacity factors. Some research offers mathematical-based solutions for terminal operations (see Vis and de Koster (2003) for a review), berthing (Lim 1998, Nishimura et al. 2001), or equipment (Kim and Kim 1997, Kim and Park 2004), while others conduct empirical analyses of topics such as port efficiency (Sanchez et al. 2003, Turner et al. 2004), competitiveness (Murphy et al. 1992, Song and Yeo 2004), labor (Talley 2002), technology (Veras and Walton 1996), or road congestion (Golob and Regan 2000, Regan and Golob 2000). Some works review port efforts to address specific capacity challenges such as channel depth (Mohan and Palermo 1998), land ("Ports Desperate for Space and Dredging Options" 1998), or labor (Silberholz et al. 1991, Schwarz-Miller and Talley 2002). Finally, other papers address port planning and policy (Cottrill 1997, Ircha 2001) or provide historical assessments of the evolution of containerization (Slack 1999, Talley 2000). Despite the apparent wealth of port-related literature, only a few research projects directly address the scope of current capacity challenges from a systemwide viewpoint, and these projects have primarily been industry- or government-based. For instance, one report identifies the need to improve the U.S. marine transportation structure (U.S. Marine Transportation System Task Force 1999), whereas other reports predict significant port capacity problems within the next five to ten years (Wilbur Smith Associates 2001, National Chamber Foundation of the U.S. Chamber of Commerce 2003). These studies provide insight into the magnitude of port capacity problems and also offer input regarding port capacity drivers. As highlighted by Maloni and Jackson (2005), however, a wealth of research prospects still exist to offer more detailed, empirical exploration of port capacity drivers and resolution opportunities.
RESEARCH OBJECTIVES AND METHODOLOGY
Given the need for additional port capacity research, this article presents an initial exploratory investigation of North American container port capacity issues and opportunities by addressing several research objectives: timing of port capacity problems, key port capacity drivers, and port capacity expansion planning efforts. In doing so, the research seeks to better understand the urgency of port capacity problems and isolate the underlying causes of capacity shortages. Ultimately, the goal is to identify specific areas needing additional research and to suggest solution opportunities for the industry.
To accomplish these research objectives, the authors surveyed the largest container ports in continental North America for their perceptions of capacity planning and issues. As listed in Table 2, ports from mainland United States and Canada were identified from available industry data (American Association of Port Authorities 2004). Ports in Hawaii, Alaska, Puerto Rico, and Mexico were not included since they serve only local shipping needs, and their unique logistical challenges could skew the results. The thirty- three ports considered for survey represent more than 35 million TEUs and almost 100 percent of all continental North American container volumes.
The survey instrument was initially developed based on the authors' recent professional experience in the maritime industry as well as a rigorous review of academic and industry literature. Additionally, the authors assessed more than a year's worth of daily newswires from the Journal of Commerce and American Shipper, two prominent maritime industry publications, to validate and refine the survey content. The authors then pilot tested the survey with several industry and academic experts to ensure that the content was accurate and complete and that the survey instrument was clear and intelligible. Final refinements were then made before survey distribution. Content validity was also later verified based on discussions and interviews with several survey respondents throughout the research project. These respondents also substantiated the importance and timeliness ofthe research as well as provided further details about many key capacity issues at their ports.
The final survey consisted of approximately seventy-five questions and statements. Data collection was conducted in several steps between October 2004 and February 2005. First, an introductory postcard describing the research was mailed to the highest-level port authority executive responsible for container port strategy and operations. Holding titles such as executive director, port director, CEO, and president, these individuals can best provide a single authoritative view of capacity concerns of their respective ports. The survey and accompanying cover letter were then mailed within a week to these executives, and a reminder postcard was later sent to promote participation. Participants could complete and return the survey via a self-addressed, stamped envelope or do so by an Internet-based instrument. Confidentiality was promised to the respondents since their responses could contain information sensitive to both their competitiveness and customer image. A summary of the research results was also offered. Given the small sample size, the authors followed up the mailings with phone calls to both verify that the survey had been received and to encourage participation. In some cases, the port officials nominated another port resource to respond on their behalf, and the authors validated the authority of these respondents.
Of the thirty-three surveyed ports, twenty-four, representing almost 30 million TEUs (84 percent of the surveyed volumes), opted to participate. These respondents included a representative mix of U.S. and Canadian ports from the West, East, and Gulf Coasts. Given this level of participation, the survey results presented here should provide an accurate overview of port capacity issues and opportunities. Even with the high response rate, non-response bias was assessed since it could significantly impact survey results given the small population size. To do so, non-respondents were first contacted to assess reasons for not participating. Most indicated they did not have time to complete the survey, and one cited decreasing focus on commercial container business. Brief discussions with these non-respondents about their port capacity concerns aligned closely with the responses from participating ports. Second, a search of industry literature found that the capacity issues of non-responding ports did not differ from those of the responding ports. These findings, thus, minimized concerns about non-response bias.
Table 2. Continental United States and Canada Container Ports
Analysis of the survey responses aligns with the research objectives and is conducted in several steps. First, the timing of port capacity problems is assessed in two stages: initially by using quantitative-based time series analyses of capacity forecasts, then by exploring qualitative-based port perceptions of future capacity shortages. This will help determine how and when the levels of capacity utilization and related congestion may change. Next, several capacity factors are evaluated for statistical significance to highlight the most critical drivers of port capacity and help focus potential resolution efforts. Finally, port capacity expansion options are assessed for significance to better understand how the ports will focus future capacity growth. The authors attempted to validate the findings based on both industry literature and interviews with industry experts who included, but were not limited to, participants in the survey.
The significant difference in volumes among the primary North American container ports suggests that the responses should be weighted to emphasize the larger ports since these facilities will support a more significant share of future volume growth. Weighting by actual volume would significantly skew the results to the top three ports and potentially compromise respondent confidentiality, however, so the authors opted to use a relative weighting approach. Each port was assigned a whole number weight between one (lowest volume) and five (highest volume) based on current relative container volume. Such an approach emphasizes the responses of larger ports without disregarding those of the smaller ports.
TIMING OF PORT CAPACITY PROBLEMS-TIME SERIES FORECASTS
The ports were asked to provide TEU-based forecasts (denoted as "port volume forecasts" or "port forecasts") of volume and capacity for 2005,2010, and 2015. The data were aggregated across all respondents, then extrapolated to account for non-respondents. Thus, the results represent an estimation of the forecast for the entire container port system in the continental United States and Canada. A second forecast of TEU volumes (denoted as "historical volume forecast" or "historical forecast") was derived from historical data at an average annual growth rate of approximately 7 percent. This second volume forecast will provide a comparative figure to roughly benchmark the accuracy of the aggregate port volume forecast. Figure 2 presents the results. From a positive perspective, port forecasted capacity expands at about the same rate as forecasted volume. This indicates that the ports appear to be planning capacity expansion to match the increased volume. However, all is not positive: The port volume forecast significantly lags behind that of the historical volume forecast in 2015. In other words, aggregate port volume forecasts are considerably less than forecasts based on historical growth rates. Given no industry indications to expect a reduction in volume growth, the ports may thus be underestimating 2015 TEU volume by almost 7 million TEUs (10 percent). This is not necessarily a surprising result given that the ports have frequently underestimated future volumes (Mongelluzzo 2004). The authors speculate that this result may be a direct impact of localized forecasting in that the ports are estimating what they believe their individual port will see (which may be influenced by future expected capacity) and not considering aggregate effects of systemwide expectations. Neither this conjecture nor the ports' forecasting methods were assessed in the current study, pointing to the need for additional research in the area.
To further explore the port forecasts, capacity utilization was derived as expected volume divided by expected capacity (Figure 3). Two measures were calculated, one using port volume forecasts and the other using historical volume forecasts. Initially, ports are overestimating capacity utilization, but given the above aggregate underestimation of future volumes, the ports are underestimating capacity utilization by 6.5 percent in 2015. While capacity will still cover volume, a higher than expected level of capacity utilization may considerably aggravate current service issues, especially during peak season. Although new terminal and greenfield (new but as yet uncompleted port facilities) projects may support the deficit with some additional capacity, the potential impacts of underforecasted future volume are alarming.
To further investigate the underestimations of future volumes, the forecasts were broken down by geographic region, including East, Gulf, and West Coasts. Growth rates specific to each region were used to provide the historical volume forecasts. Figures 4 through 9 provide the forecast results for the regions. East and Gulf Coast ports appear to be slightly overestimating volumes through 2015 (Figures 4 and 6), possibly because of expected diversions from congested West Coast ports. Capacity utilization will remain high (Figures 5 and 7), however, leaving little room for volume spikes and capacity influencing issues such as weather, labor disputes, and security lapses. The aggregate underestimation of 2015 volumes originates from West Coast ports, which appear to be severely underestimating volume by almost 11 million TEUs (28 percent) (Figure 8). This would cause West Coast port capacity utilization to be at 82.4 percent instead of port forecasts of 64.5 percent, a difference of 17.9 percent (Figure 9). Recent volumes indicate no reductions in growth rates ("Long Beach February Container Volumes Rise 58%" 2005; Mongelluzzo 2005a), especially given the recent elimination of apparel trade quotas (Mongelluzzo 2005d).
Figure 2. TEU Volume and Capacity Forecasts - All Ports
The West Coast findings are troubling, given that the Pacific trade lane has experienced the most growth over the last decade as well as the majority of the recent problems with peak-season congestion (Mongelluzzo 2004g; "Industry sees Gap between Asia, U.S. In Tackling Port Congestion" 2005). Service problems from continued congestion-related delays could reduce service advantages of the West Coast land bridge and also further induce ocean carriers to enhance all water routes to other regions of North America. In turn, this could then cause a domino effect as East and Gulf Coast ports see higher than expected volumes and subsequently experience their own capacity and service problems. Continued congestion may also encourage development of Mexico ports to serve the U.S. and Canada. Given potential forecast deficiencies, it is recommended that the ports, especially those on the West Coast, should not only remain rigorously active in monitoring forecasts and adjusting subsequent capacity plans but also collaborate with neighboring ports to aggregate regional forecasts.
Figure 3. Capacity Utilization Forecasts - All Ports
TIMING OF PORT CAPACITY PROBLEMS-PORT PERCEPTIONS
To provide a second assessment of the timing of future capacity problems, the ports were asked to indicate agreement or disagreement with current (throughout the year and during peak season now) and future (five-year and ten-year) capacity shortages. Example statements include "our port has capacity shortages during peak season" and "our capacity shortages w\ill worsen in the next 5 years." The response scale ranged from one (strongly disagree) to seven (strongly agree), with four (neither agree nor disagree) representing the midpoint. So a response of five or greater is interpreted as agreeing with capacity shortages. The responses were weighted by relative port volume and are presented Table 3, aggregated across all ports and divided by region. Collectively, the ports generally disagree with having capacity shortages throughout the year now, but 43 percent agree with having current peak season problems. Future capacity shortage outlooks worsen, with 63 percent of respondents expecting capacity problems to deteriorate in the next five years and 44 percent indicating the same within the next ten years. There is no industry information to indicate why the ports would be more concerned with the five-year than the ten-year horizon. The authors speculate that the five-year horizon is of more concern due to its urgency or that port officials do not believe the volume growth will sustain into the ten-year horizon (Mongelluzzo 2005e).
Figure 4. TEU Volume and Capacity Forecasts - East Coast
Capacity shortage perceptions vary by coast. East Coast ports' current concerns match that of the aggregate findings, but they appear to be somewhat more concerned than average with the five- and ten-year horizons. Gulf Coast ports are extremely concerned with current capacity shortages, but they indicate less agreement than average of problems worsening in the future. Surprisingly, West Coast ports do not indicate current capacity concerns throughout the year now and are actually slightly less concerned than average with peak season capacity conditions. The latter result clearly contradicts industry trade press reports.
Figure 5. Capacity Utilization Forecasts - East Coast
To further explore the significance of future capacity shortages versus the current situation, paired tests were conducted to assess differences of perceptions of capacity shortages in peak season, five-year, and ten-year horizons from throughout the year now. A significant positive difference would indicate the ports perceive capacity problems worsening. Given the small population and relative size of the sample, a finite population correction factor2 was used in the analysis (Lind et al. 2005). The results are presented in Table 4. Examining all ports, there is strong statistical significance for all three differences. This denotes agreement with the perception that capacity shortages are worse during peak season than throughout the year now and that the ports expect capacity shortages to worsen in the next five- and ten-year horizons. Considering regional differences, East and West Coast ports indicate worsening capacity conditions. Gulf ports do not indicate worsening conditions, however, possibly due to their indication of already high levels of capacity shortages.
Figure 6. TEU Volume and Capacity Forecasts - Gulf Coast
The above results do not take into consideration the aforementioned possible underestimations of future volumes, so the port perceptions of future capacity shortages may also be misleadingly low. Regardless, it can be expected that capacity shortages and the subsequent congestion experienced during 2004 will also worsen. Given that port capacity expansion takes significant capital and time, these results present a clear signal that resolution action must begin now to minimize future effects of capacity shortages. Table 3 also indicates, however, that the ports are virtually unanimously concerned about funding for capacity growth. This further amplifies the need for immediate action and calls for a review of port capacity financing options.
KEY CAPACITY DRIVERS
Many internal and external factors influence port capacity. To better understand which factors are most impactful, the ports were asked to evaluate more than twenty-five capacity factors that were categorized as port infrastructure, labor, waterways, truck/rail, or technology. These capacity factors were derived from academic and industry literature, including daily trade journal newswires. Respondents were asked to "assess the significance of the following factors in affecting your port's container capacity in the next 5- 10 years." Scales were based from one to seven, with one indicating no significance, four indicating moderate significance, and seven indicating high significance. Again, responses were weighted in the analysis based on the aforementioned relative scale of port volume.
Figure 7. Capacity Utilization Forecasts - Gulf Coast
The results were tested for a difference from one (i.e., no significance) using a finite population correction factor. All factors were found to be statistically significant at α = .01, confirming that port capacity is a complex problem influenced by many drivers. To provide further insight regarding relative significance, each capacity factor was then re-tested for significance against the average response across all capacity factors. Table 5 displays the top ten capacity factors of highest significance aggregately and regionally to highlight the areas of principal concern. Table 6 presents the detailed results of all capacity factors.
Focusing on the top factors reveals that many of the capacity drivers of greatest port concern are heavily if not completely influenced by other stakeholders (Table 5). For example, local road capacity, the top aggregate capacity concern, is generally managed by government, and local rail (#3 factor), on-dock rail (10), and truck (5) capacities are managed by the carriers. The labor unions tightly control long-shore efficiency (4), cost3 (8), and capacity (9). Even considering primary factors within port control, including terminal (2) and berth space (6), many ports do not have sufficient available land (7) to resolve such issues.
The above findings do not belittle the significance of internal capacity factors, but the ports are clearly more concerned with the capacity influences of other stakeholders, implying that they perceive that their ultimate capacity is by and large out of their control. This directly points to the need for a multiple stakeholder approach to address port capacity problems. The ports are clearly indicating that capacity cannot be expanded without significant participation from longshore unions (cost, capacity, efficiency), government (roads), rail (local, ondock), and truck carriers (local drayage). Terminal operators (capacity, technology) participation will also be important.
Figure 8. TEU Volume and Capacity Forecasts - West Coast
Examining regional perspectives, ports on the different coasts retain some distinctions in importance of capacity factors. While some factors such as local roads, local rail, and local truck, as well as longshore labor efficiency and cost, are fairly consistent across the different regions (though not necessarily in the same order), other factors are relatively unique among the regions. For instance, East and Gulf Coast ports are more concerned with channel depth - a logical finding considering these ports have historically had to dredge their channels to accommodate increasing vessel sizes. Corroborating recent press, West Coast ports place high focus on solutions to gate congestion (Mongelluzzo 2005c). A few of the primary Gulf Coast ports' concerns are relatively unique, including channel width and data exchange technology. Gulf ports are less concerned with terminal and berth space, however, since industry press confirms that several already have additional facilities in various stages of planning or construction ("Bayport Groundbreaking Planned" 2004; Plume 2004).
Figure 9. Capacity Utilization Forecasts - West Coast
To further compare the relative significance of capacity factors by coast, pairwise rank-correlation tests were conducted. A significant Spearman rank-correlation coefficient indicates that the rank-orders of the capacity factor lists are not statistically different, indicating the orders are essentially the same. Table 7 presents the results and indicates significant rank-correlations (all p-values less than α = .05) across all regions. Thus, although subtle differences may exist between the capacity factor lists by coast, the overall rank-orders are not statistically different.
PORT CAPACITY EXPANSION PLANNING
Finally, the ports were asked to assess how they plan to expand the capacity drivers that they do control. Like the capacity factors, the expansion factors were taken from academic and industry literature, and each was categorized as productivity, infrastructure, or inland/short-sea solutions. Specifically, respondents were asked to "assess your port's plans to expand the following areas in the next 5-10 years." Scales were based from one to seven, with one indicating no expansion, four indicating moderate expansion, and seven indicating significant expansion. Once again, responses were weighted for the analysis according to relative port volume.
The results were initially tested for significance from a difference of one (i.e., no expansion) using a finite population correction factor. Across all ports, each of the nine expansion factors was found to be statistically significant. This indicates that ports will be pursuing growth by enhancing both productivity and size of current facilities as well as exploring off-site solutions such as inland ports and short-sea barging. To provide greater insight about the relative significance of the expansion factors, each was then re-tested for significance against the average response across all expansion factors. Presented in Table 8, the productivity factors and increasing terminal space retain the highest levels of significance when examining all ports, indicating ports will focus more on efficiency via technology, labor, and gate hours than physical expansion or off-site approaches. With the rela\tive inefficiency of North American ports versus their foreign counterparts ("Industry Sees Gap between Asia, U.S. In Tackling Port Congestion" 2005), focusing on productivity improvements makes sense. However, achievement of such improvements have been impeded by long-shore labor unions (Schwarz-Miller and Talley 2002). As another cautionary note, the European Commission is currently attempting to increase competition among port service providers to enhance port efficiency, but the Commission's efforts are being met with strong resistance (Barnard 2004).
Table 3. Container Port Capacity and Funding Perceptions
Table 4. Container Port Capacity Perception Differences (Paired t- tests)
Table 5. Ten Most Important Container Port Capacity Factors
Table 6. Port Capacity Factors: All Ports and by Coast
Port focus on productivity improvements may also evolve from the fact that physical expansion of port infrastructure through addition of terminals, berths, and channel depth may be somewhat limited due to available land and environmental obstacles. Given restricted physical expansion, ports can pursue off-site solutions in the form of inland ports and short-sea barging to other facilities. Although the European Union (EU) has been emphasizing short-sea opportunities (Becker et al. 2004), the U.S. has yet to embrace the concept (Sowinski 2005). Table 8 results corroborate this with short-sea solutions being ranked low among expansion factors. Inland port solutions are also ranked low. In general, it appears that the ports do not consider short-sea shipping and inland ports as effective expansion options when compared to other opportunities. This is a possible result of poor shipper receptivity (Leach 2004c; Sowinski 2005).
Table 7. Port Capacity Factors - Spearman Rank-Correlation Coefficient Tests
Table 8. Port Expansion Planning: All Ports and by Coast
To assess similarity among rank-orders of the different coastal regions, pairwise rankcorrelation tests were once again conducted. The results (Table 9) indicate that the rank-correlations of the coasts are not statistically significant, signifying that rank- orders of the expansion factors generally differ. So, although the rank-orders of the capacity factors are similar across ports, the rank-orders of the expansion factors are different. While technology is relatively high across all ports, East and Gulf Coast ports place less emphasis on gate hours. East ports appear to be more concerned with increasing channel depth to accommodate larger ships, while the Gulf ports place greater focus on terminal and berth expansion.
CONCLUSIONS AND FUTURE RESERACH
Motivated by both substantial container volume growth and emerging evidence of port capacity issues, the research presented here sought to provide an initial exploratory investigation of capacity concerns of major North American container ports. The research objectives were to investigate timing of capacity problems, key capacity drivers, and port expansion planning. The findings corroborate fragmented evidence from industry trade journals that point to a troubled future for the maritime industry. For one, forecasts of port volume and capacity indicate that although the ports expect capacity to expand at about the same rate as volume, capacity utilization will remain high. Furthermore, the ports were found to possibly be significantly underestimating actual future growth. This underestimation is most significant on the West Coast, which has and mostly likely will continue to bear the brunt of volume growth. The research also finds that, while the ports do not perceive current capacity problems throughout the year, they do acknowledge some conditions of capacity shortages during peak season now. Additionally, the ports expect capacity issues to worsen in the next five-and ten-year horizons. These findings imply that the service-related problems associated with recent port congestion will also worsen.
Table 9. Port Expansion Factors - Spearman Rank-Correlation Coefficient Tests
Examining specific drivers of capacity concerns, the ports identify more than twenty-five factors as significant. A few of these factors of highest emphasis, including terminal and berth space, are relatively within port control, but most other primary factors, including local rail, truck, and road capacity, as well as long-shore labor costs and efficiency, are primarily beyond port control. This implies that the ports believe their own future capacity mostly extends beyond their authority, indicating they must rely on the cooperation of external stakeholders to enhance current capacity. Finally, given the capacity expansion approaches under their control, the ports identify several significant opportunities, including productivity enhancements, physical expansion, and off- site solutions, though they tend to emphasize the productivity enhancements.
There are several limitations associated with this research. For one, although the sample represents a significant share of total port volume, input from non-participants could influence the results, given the small population size. Furthermore, the results represent the view of only the ports and not other capacity- influencing stakeholders. The survey data also primarily represent port perceptions, which could possibly differ from actual conditions. Despite these limitations, the work presented here offers at least a foundation for future research to both explore port capacity problems and facilitate potential resolution.
As one topic for future research, more rigorous collaboration among ports is needed to provide individual forecasts that aggregate to expected regional and system-wide volume expectations. Researchers could work with the ports to apply more advanced forecasting techniques as well as assist with cross-port forecast cooperation. This will ensure the ports are planning capacity requirements to accurate volume estimates. Likewise, it would be worthwhile for researchers to collect and aggregate detailed port strategic planning to better estimate long-term capacity problems. With ports focusing expansion growth on productivity opportunities, research could also target approaches to improve efficiency of existing port facilities and labor. This research could benchmark key drivers of foreign port efficiency and support the adoption of technology and labor best practices.
Future research could also examine capacity factors and stakeholders that are relatively external to the ports but will still impact port and national container network distribution capacity. Examples of such could include the influence of the various levels (federal, state, and local) of government on security regulations and port funding. Other external factors could encompass rail, truck, and highway capacities at national levels as well as environmental (pollution) impacts. Such research may highlight an even greater need for a multiple stakeholder approach to address capacity issues than what is suggested in this article.
Since the port authorities represent only one stakeholder in container network capacity, the research methodology presented here could be repeated with other stakeholders, including longshore labor unions, railroads, motor carriers, shippers, and government. Similarly, future research initiatives could evaluate participation requirements of these different stakeholders and facilitate interaction among them to address capacity issues. Such initiatives could also assess how gaps in capacity might be filled by emerging ports in the U.S., Canada, and/or by facilities in Mexico. Specific aspects of such initiatives would include identification of leadership roles and means for facilitating stakeholder interaction and developing creative financing options for collaborative capacity planning. Finally, port capacity could be studied longitudinally to track both how problems evolve relative to industry expectations and how the ports expand based on current forecasts.
This article identifies a need for action from not only industry stakeholders but also academic researchers to address port capacity problems. The 7 percent annual growth of container volumes will cause port volumes to double in the next decade. Even with less growth, the entire North American container network will continue to be stressed. Given the time and capital intensity of port, rail, truck, and road infrastructure improvements, enhancing capacity to the container network will take considerable time, so resolution action must be immediate to minimize the effects of expected future capacity problems. This resolution will require an intensive collaboration of key stakeholders, yet there is no indication that this is happening beyond isolated, localized instances. As long as there is no coordinated, comprehensive effort among the ports, railroads, ocean carriers, truckers, communities, and multiple levels of government to address capacity issues, service instability and costs will continue to rise. This will prove significantly detrimental to both North American and global supply chains.
ENDNOTES
1 A twenty-foot equivalent unit (TEU) represents a twenty-foot container. A forty-foot equivalent unit (FEU) represents a forty- foot container and is equivalent to two TEUs. Industry standard is to represent volume in TEUs.
2 The use of a finite population correction factor adjusts the sampling error for large sample sizes and is suggested when the sample size (n) exceeds 5-10 percent of the population size (N). The calculation is sqrt((N-n)/(N-1)).
3 Discussions with industry experts and reviews of industry literature point to labor cost and efficiency as separate issues. Cost in this context refers to wages and benefits.
REFERENCES
Alcorn, A. E. and J. Foxworthy (2001), "The Construction of Pier 400: New Navigation Channel," Civil Engineering, 71 (12), pp. 45- 48.
American Association of Port Authorities (2004), \www.Aapa- Ports.Org.
Armbruster, W. (20045), "U.S. Infrastructure Biggest Challenge to China Trade," Journal of Commerce Online Edition, Oct. 7.
Ashar, A. (2003), "User Charges for Port Cost Recovery: The US Harbor Maintenance Tax Controversy (International Journal of Maritime Economics, 2002, 4:149-163)," Maritime Economics & Logistics, 5 (1), pp. 90-91.
Bana e Costa, C. A., F. Nunes da Silva, and J. C. Vansnick (2001), "Conflict Dissolution in the Public Sector: A Case-Study," European Journal of Operational Research, 130 (2), pp. 388-401.
Barnard, B. (2004), "EU Unveils New Port Dereg Plan," Journal of Commerce Online Edition, 13 Oct.
"Bayport Groundbreaking Planned," (2004), Journal of Commerce Online Edition, Jun. 17.
Becker, J. F. F., A. Burgess, and D. A. Henstra (2004), "No Need for Speed in Short Sea Shipping," Maritime Economics & Logistics, 6 (3), pp. 236-251.
Bish, E. K. (2003), "A Multiple-Crane-Constrained Scheduling Problem in a Container Terminal," European Journal of Operational Research, 144 (1), pp. 83-107.
Cheung Ho, D. C. (1992), "The Marketing System of the Manila International Container Terminal," International Journal of Physical Distribution & Logistics Management, 22 (5), pp. 25-37.
Chung, R. K., C. L. Li, and W. Lin (2002), "Interblock Crane Deployment to Container Terminals," Transportation Science, 36 (1), pp. 79-93.
Comtois, C. (1999), "The Integration of China's Port System into Global Container Shipping," GeoJournal, 48 (1), pp. 35-12.
Cottrill, K. (1997), "Intermodal Shipping at the Crossroads," The Journal of Business Strategy, 18 (3), pp. 30-35.
De Souza Jr., G. A., A. K. C. Beresford, and S. J. Pettit (2003), "Liner Shipping Companies and Terminal Operators: Internationalisation or Globalisation?" Maritime Economics & Logistics, 5 (4), pp. 393-412.
Federal Highway Administration (2004), "Traffic Congestion and Reliability: Linking Solutions to Problems."
Flor, L. and E. Defilippi (2003), "Port Infrastructure: An Access Model for the Essential Facility," Maritime Economics & Logistics, 5 (2), pp. 116-132.
Garrido, R. A. and M. Leva (2004), "Port of Destination and Carrier Selection for Fruit Exports: A Multi-Dimensional Space-Time Multi-Nominal Probit Model," Transportation Research Part B: Methodological, 38 (7), pp. 657-667.
Garstone, S. (1995), "Electronic Data Interchange (Edi) in Port Operations," Logistics Information Management, 8 (2), pp. 30-33.
Golob, T. F. and A. C. Regan (2000), "Freight Industry Attitudes Towards Policies to Reduce Congestion," Transportation Research. Part E, Logistics & Transportation Review, 36E (1), pp. 55-77.
Guan, Y., W. Q. Xiao, R. K. Cheung, and C. L. Li (2002), "A Multiprocessor Task Scheduling Model for Berth Allocation, Heuristic and Worst-Case Analysis," Operations Research Letters, 30 (5), pp. 343-350.
Heaver, T., H. Meersman, and E. Van De Voorde (2001), "Co- Operation and Competition in International Container Transport: Strategies for Ports," Maritime Policy & Management, 28 (3), pp. 293- 305.
"Industry Sees Gap between Asia, U.S. In Tackling Port Congestion," (2005), American Shipper Shippers' NewsWire, Mar. 15.
Ircha, M. C. (2001 ), "Port Strategic Planning: Canadian Port Reform," Maritime Policy & Management, 28 (2), pp. 125-140.
Kia, M., E. Shayan and F. Ghotb (2000), "The Importance of Information Technology in Port Terminal Operations," International Journal of Physical Distribution & Logistics Management, 30 (3/4), pp. 331-344.
Kim, K. H. and H. B. Kim (1999b), "Segregating Space Allocation Models for Container Inventories in Port Container Terminals," International Journal of Production Economics, 59 (1-3), pp. 415- 423.
Kim, K. H. and K. Y. Kim (1999a), "An Optimal Routing Algorithm for a Transfer Crane in Port Container Terminals," Transportation Science, 33 (1), pp. 17-33.
Kim, K. H., K. M. Lee, and H. Hwang (2003), "Sequencing Delivery and Receiving Operations for Yard Cranes in Port Container Terminals," International Journal of Production Economics, 84 (3), pp. 283-292.
Kim, K. H. and Y. M. Park (2004), "A Crane Scheduling Method for Port Container Terminals," European Journal of Operational Research, 156 (3), pp. 752-768.
Kim, K. Y. and K. H. Kim (1997), "A Routing Algorithm for a Single Transfer Crane to Load Export Containers onto a Containership," Computers & Industrial Engineering, 33 (3,4), pp. 673-676.
Leach, P. T. (2004c), "Selling Short-Sea," Journal of Commerce, Oct. 25.
Leach, P. T. (2004e), "Global Congestion to Slow Trade: APL Chief," Journal of Commerce Online Edition, Nov. 17.
Lim, A. (1998), "The Berth Planning Problem," Operations Research Letters, 22 (2-3), pp. 105-110.
Lind, D. A., W. G. Marchal and S. A. Wathen (2005), Statistical Techniques in Business and Economics, Boston: McGraw-Hill, 12.
"Long Beach February Container Volumes Rise 58%," (2005), American Shipper Shippers' NewsWire, Mar. 14.
Luo, M. and T. A. Grigalunas (2003), "A Spatial-Economic Multimodal Transportation Simulation Model for US Coastal Container Ports," Maritime Economics & Logistics, 5 (2), pp. 158-178.
Malchow, M. and A. Kanafani (2001 ), "A Disaggregate Analysis of Factors Influencing Port Selection," Maritime Policy & Management, 28 (3), pp. 265-277.
Malchow, M. B. and A. Kanafani (2004), "A Disaggregate Analysis of Port Selection," Transportation Research. Part E, Logistics & Transportation Review, 40E (4), pp. 317-337.
Maloni, M. J. and E. C. Jackson (2005), "North American Container Port Capacity: A Literature Review," Transportation Journal 44 (2), pp. 16-36.
Mastaglio, L. (1997), "Bridge Bashing," Civil Engineering, 67 (4), pp. 38-40.
McNeilan,T. W. and J. E. Foxworthy (1993), "Probing the Port of Los Angeles," Civil Engineering, 63 (1), pp. 66-68.
Mohan, R. K. and M. R. Palermo (1998), "Bottoms Up," Civil Engineering, 68 (12), pp. 56-59.
Mongelluzzo, B. (2004), "Coming up Short," Journal of Commerce, Sep. 25.
Mongelluzzo, B. (2004e), "LA Congestion Expected to Continue," Journal of Commerce Online Edition, Sep. 29.
Mongelluzzo, B. (2004g), "Congestion over at LA-Long Beach," Journal of Commerce Online Edition, Nov. 18.
Mongelluzzo, B. (2005a), "No Let-up for West Coast Ports," Journal of Commerce Online Edition, Feb. 24.
Mongelluzzo, B. (2005b), "Big Ships Mean Big Shakeups for Ports, Railroads," Journal of Commerce Online Edition, Feb. 28.
Mongelluzzo, B. (2005c), "Worries About LA Congestion," Journal of Commerce Online Edition, Mar. 11.
Mongelluzzo, B. (2005d), "Brace for China Apparel Flood," Journal of Commerce Online Edition, Mar. 15.
Mongelluzzo, B. (2005e), "Tacoma Exec Urges Caution," Journal of Commerce Online Edition, Mar. 15.
Mottley, R. (2005), "Bruner Speaks His Mind," American Shipper, 47 (1), Jan., pp. 70-76.
Murphy, P., D. Dalenberg, and J. Daley (1988), "A Contemporary Perspective of International Port Operations," Transportation Journal, 28 (2), pp. 23-32.
Murphy, P. R., D. R. Dalenberg, and J. M. Daley (1989), "Assessing International Port Operations," International Journal of Physical Distribution & Materials Management, 19 (9), pp. 3-10.
Murphy, P. R., D. R. Dalenberg, and J. M. Daley (1991), "Analyzing International Water Transportation: The Perspectives of Large U.S. Industrial Corporations," Journal of Business Logistics, 12 (1), pp. 169-190.
Murphy, P. R. and J. M. Daley (1994), "A Comparative Analysis of Port Selection Factors," Transportation Journal, 34 (1), pp. 15-21.
Murphy, P. R., J. M. Daley, and D. R. Dalenberg (1992), "Port Selection Criteria: An Application of a Transportation," Logistics and Transportation Review, 28 (3), pp. 237-255.
National Chamber Foundation of the U.S. Chamber of Commerce (2003), "Trade and Transportation, a Study of North American Port and Intermodal Systems."
Ng, W. C. (2004), "Crane Scheduling in Container Yards with Inter- Crane Interference," European Journal of Operational Research, in press, corrected proof.
Nir, A. S., K. Lin, and G. S. Liang (2003), "Port Choice Behaviour - from the Perspective of the Shipper," Maritime Policy & Management, 30 (2), pp. 165-173.
Nishimura, E., A. Imai, and S. Papadimitriou (2001), "Berth Allocation Planning in the Public Berth System by Genetic Algorithms," European Journal of Operational Research, 131 (2), pp. 282-292.
Notteboom, T. E. and W. Winkelmans (2001), "Structural Changes in Logistics: How Will Port Authorities Face the Challenge?" Maritime Policy & Management, 28 (1), pp. 71-89.
Park, C. S. and Y. D. Noh (1987), "An Interactive Port Capacity Expansion Simulation Model," Engineering Costs and Production Economics, 11 (2), pp. 109-124.
Park, R. K. and P. De (2004), "An Alternative Approach to Efficiency Measurement of Seaports," Maritime Economics & Logistics, 6 (1), pp. 53-69.
Plume, J. (2004), "Houston, We Had a Problem," Journal of Commerce, May 24.
Pope, J. A., T. R. Rakes, L. P. Rees, and I. W. M. Crouch (1995), "A Network Simulation of High-Congestion Road-Traffic Flows in Cities with Marine Container Terminals," The Journal of the Operational Research Society, 46 (9), pp. 1090-1101.
"Ports Desperate for Space and Dredging Options," (1998), Civil Engineering, 68 (5), pp. 10-11.
Preston, P. and E. Kozan (2001), "An Approach to Determine Storage Locations of Containers at Seaport Terminals," Computers & Operations Research, 28 (10), pp. 983-995.
Regan, A. C. and T. F. Golob (2000), "Trucking Industry Perceptions of Congestion Problems and Potential Solutions in Maritime Intermodal Operations in California," Transportation Research Part A: Policy and Practice, 34 (8), pp. 587-605.
Sanchez, R. J., J. Hoffmann, A. Micco, G. V. Pizzolitto, M. Sgut, and G. Wilmsmeier (2003), "Port Efficiency and International Trade: Port Efficiency as a Determinant of Maritime Transport Costs," Maritime Economics & Logistics, 5 (2), pp. 199-218.
Schwarz-Miller, A. and W. K. Talley (2002), "Technology and Labor Relations: Railroads and Ports," Journal of Labor Research, 23 (4), pp. 513-533.
\Silberholz, M. B., B. L. Golden, and E. K. Baker (1991), "Using Simulation to Study the Impact of Work Rules on Productivity at Marine Container Terminals," Computers & Operations Research, 18 (5), pp. 433-452.
Slack, B.( 1999), "Across the Pond: Container Shipping on the North Atlantic in the Era of Globalisation," GeoJournal, 48 (1), pp. 9-14.
Song, D. W. and K. T. Yeo (2004), "A Competitive Analysis of Chinese Container Ports Using the Analytic Hierarchy Process," Maritime Economics & Logistics, 6 (1), pp. 34-52.
Sowinski, L. L. (2005), "The near-Term Outlook for Short-Sea Shipping," World Trade, 18 (2), Feb.
Talley, W. K. (1994), "Performance Indicators and Port Performance Evaluation," Logistics and Transportation Review, 30 (4), pp. 339-352.
Talley, W. K. (2000), "Ocean Container Shipping: Impacts of a Technological Improvement," Journal of Economic Issues, 34 (4), pp. 933-948.
Talley, W. K. (2002), "Dockworker Earnings, Containerisation, and Shipping Deregulation," Journal of Transport Economics and Policy, 36 (3), pp. 447-467.
Talley, W. K. (2004), "Wage Differentials of Intermodal Transportation Carriers and Ports: Deregulation Versus Regulation," The Review of Network Economics, 3 (2), pp. 207-227.
Texas Transportation Institute (2004), "The 2004 Urban Mobility Report."
Tiwari, P., H. Itoh, and M. Doi (2003), "Shippers' Port and Carrier Selection Behaviour in China: A Discrete Choice Analysis," Maritime Economics & Logistics, 5 (1), pp. 23-39.
Tongzon, J. L. (1995), "Determinants of Port Performance and Efficiency," Transportation Research Part A: Policy and Practice, 29 (3), pp. 245-252.
Turner, H., R. Windle, and M. Dresner (2004), "North American Containerport Productivity: 1984-1997," Transportation Research. Part E, Logistics & Transportation Review, 40E (4), pp. 339-356.
U.S. Marine Transportation System Task Force (1999), "An Assessment of the U.S. Marine Transportation System: A Report to Congress."
Veras, J. H. and C. M. Walton (1996), "State of the Practice of Information Technology at Container Ports," Transportation Research Record, 1522, pp. 87-93.
Vis, I. F. A. and R. de Koster (2003), "Transshipment of Containers at a Container Terminal: An Overview," European Journal of Operational Research, 147 (1), pp. 1-16.
Walker, W. T. ( 1992), "Network Economies of Scale in Short Haul Truckload Operations," Journal of Transport Economics and Policy, 26 (1), pp. 3-17.
Walter, C. K. and R. F. Poist (2003), "Desired Attributes of an Inland Port: Shipper Vs. Carrier Perspectives," Transportation Journal, 42 (5), pp. 42-55.
Wan, T. B., E. L. C. Wan and L. C. Meng (1992), "The Use of Information Technology by the Port of Singapore Authority," World Development, 20 (12), pp. 1785-1795.
Wang, X. and A. C. Regan (2002), "Local Truckload Pickup and Delivery with Hard Time Window Constraints," Transportation Research Part B: Methodological, 36 (2), pp. 97-112.
Wilbur Smith Associates (2001), "Latin America Trade and Transportation Study."
Zhang, C., J. Liu, Y. W. Wan, K. G. Murty and R. J. Linn (2003), "Storage Space Allocation in Container Terminals," Transportation Research Part B: Methodological, 37 (10), pp. 883-903.
Zhang, C., Y. W. Wan, J. Liu and R. J. Linn (2002), "Dynamic Crane Deployment in Container Storage Yards," Transportation Research Part B: Methodological, 36 (6), pp. 537-555.
Mr. Maloni is assistant professor of management, Black School of Business, Penn State Erie, The Behrend College, Erie, Pennsylvania 16563; e-mail mjm111@psu.edu. Mr. Jackson is assistant professor of management, Black School of Business, Penn State Erie, The Behrend College.
The authors thank three anonymous reviewers for their suggestions on revision of an earlier draft of this article.
Copyright American Society of Transportation and Logistics Summer 2005
Source: Transportation Journal
Related Articles
- CN's executive vice-president Sales and Marketing to address the Wolfe Research Second Annual Global Transportation Conference May 20
- BAA Ltd. Recognizes Massachusetts Port Authority for its Critical Role in Major Expansion at Boston Logan International Airport
- Global Economic Indicator: Laid-Up Container Ships, Reports The Journal of Commerce
- Boardwalk Pipeline Partners Announces an Increase of Capacity to 1.5 Bcf/Day on the Previously Announced Pipeline Expansion Project
- Beaumont, Texas, Port Commissioners Agree to Develop Master Plan for Expansions
- The Cargo Handling Capacity for Ports in China is 2.8798 Billion Tons, an Increase of 18.3%
- Iraq Importers Stuck at Syrian Port; Port's Role Said Growing
- Port Klang Container Throughput Higher
- Fitness for Women Gauged ; Women's Exercise Capacity Lower Than Men's, Research Says
- Newer Technology's New miniStack Adds Capacity and Ports Without Adding Bulk
User Comments (0)

RSS Feeds