01089558

Component

https://doi.org/10.3141/2066-06

http://scholar.google.com...+Mao&publication_year=2008

Hinterland strategy selection is used to determine a sound marketing plan and resource allocation for ports in their own hinterlands to compete for container traffic. There are three types of hinterland strategies that ports can employ: expansive strategy, maintenance strategy, and recovery strategy. The aim of this paper is to develop a decision-making methodology for container ports to establish a logical international container hinterland strategy under a fuzzy environment based on the business strength and industry attractiveness matrix (GE matrix) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS), in which the vagueness and subjectivity are handled with linguistics variables parameterized by triangular fuzzy numbers. This methodology took the attractiveness of international container hinterland units and a port’s relative strength in every hinterland unit as the main assessing dimension to select a hinterland strategy. A fuzzy TOPSIS approach was used to evaluate the attractiveness of every international container hinterland unit and a port’s relative competition in every hinterland unit. Furthermore, the GE matrix was erected to determine the hinterland strategy for a container port in every hinterland unit. Finally, the approach was demonstrated using the case of Lianyungang Port, China, which involved 30 international container hinterland units and 27 evaluation criteria. The application of a practical case indicates that this approach can provide effective decision support for container ports to establish an international container hinterland strategy.

01117156

English

pp 50-59

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309113380

Print

Figures (4) ; Maps (1) ; References (37) ; Tables (4)

Competition; Container terminals; Decision support systems; Freight traffic; Fuzzy algorithms; Intermodal terminals; Market assessment; Matrices (Mathematics); Strategic planning; Transportation policy

Port of Lianyungang

China

Freight Transportation; Terminals and Facilities; I72: Traffic and Transport Planning

TRIS, TRB

Jan 29 2008 3:39PM

• Analysis and Cost-Recovery Optimization Methodology for a Fixed-Class Truck Tolling Structure
• Application and Validation of Dynamic Freight Simulation–Assignment Model to Large-Scale Intermodal Rail Network: Pan-European Case
• Benefits and Costs of Four Approaches to Improving Rollover Stability of Cargo Tank Motor Vehicles
• Investigation of Attributes Determining Trip Chaining Behavior in Hybrid Microsimulation Urban Freight Models
• Iterated Cooperation and Possible Deviations Between Liner Shipping Carriers Based on Noncooperative Game Theory
• Market Potential for International Rail-Based Intermodal Services in Europe: From Sea to Shining Sea
• Mining the Sources of Delay for Dray Trucks at Container Terminals
• Regional Repositioning of Empty Containers: Case for Inland Depots
• Screening Process for Identifying Potential Truck-Only Toll Lanes in a Metropolitan Area: The Atlanta, Georgia, Case
• Service Time Variability at Blaine, Washington, Border Crossing and Impact on Regional Supply Chains
• Stochastic Dominance Approach to Evaluate Optimism Bias in Truck Toll Forecasts
• Tolling Heavy Goods Vehicles: Overview of European Practice and Lessons from German Experience