Multi-objective evaluation of intermodal freight terminal location decisions

In the movement of freight across the supply chain, terminals play an important role as points of transfer between different modes. The location of terminals is one of the most crucial success factors bearing directly and indirectly on the main stakeholders involved including policy makers, investors, terminal operators, freight operators, and the local community affected. There have been several attempts to develop models to evaluate the optimum location of terminals. However, those models tend to maximize terminal owners’ and users’ benefits. Only a few attempts have been made to include community impacts. There is a need to deal with the individual perception and strategic behavior of each stakeholder, including the behaviour and objectives of the impacted community living close to potential terminal sites. Finally, there is no concrete study on how terminal expansion, interdependency of terminals, and freight policy affect the pattern of terminal locations. The paper reports on the initial phases of a study aimed at developing a model to perform an evaluation of intermodal freight terminal location decisions. The model will be developed, based upon the most appropriate multi-objective evaluation techniques derived from the findings of the research investigation, with other supporting established modules including land use allocation and transport network models; financial viability; terminal user cost; and environmental and traffic impact modules. The influences of terminal expansion, interdependency of terminals, and freight policy on the pattern of terminal locations will also be investigated by a sensitivity test. The developed model is expected to be a comprehensive tool for assisting decision makers in selecting the optimum terminal locations that satisfy the often conflicting needs of the major players

[1]  Panos M. Pardalos,et al.  Algorithms for the single-source uncapacitated minimum concave-cost network flow problem , 1991, J. Glob. Optim..

[2]  M. Labbé,et al.  Polyhedral Properties of the Uncapacitated Multiple Allocation Hub Location Problem , 2000 .

[3]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[4]  Luca Maria Gambardella,et al.  A simulation tool for combined rail/road transport in intermodal terminals , 2002, Math. Comput. Simul..

[5]  D. Skorin-Kapov,et al.  Lower bounds for the hub location problem , 1995 .

[6]  Kap Hwan Kim,et al.  Routing straddle carriers for the loading operation of containers using a beam search algorithm , 1999 .

[7]  Lawrence Henesey,et al.  Enhancing Container Terminal Performance : A Multi Agent Systems Approach , 2004 .

[8]  R. Horst,et al.  Global Optimization: Deterministic Approaches , 1992 .

[9]  Bertrand Mareschal,et al.  The GDSS PROMETHEE procedure: a PROMETHEE-GAIA based procedure for group decision support , 1998 .

[10]  D. Skorin-Kapov,et al.  Tight linear programming relaxations of uncapacitated p-hub median problems , 1996 .

[11]  Erhan Kozan,et al.  Optimal scheduling of trains on a single line track , 1996 .

[12]  Hans-Jürgen Bürckert,et al.  A Multi-Agent Systems Perspective on Intermodal Transport Chains , 1999 .

[13]  Luca Maria Gambardella,et al.  Simulation and Forecasting in an Intermodal Container Terminal , 1996 .

[14]  Valerio Recagno,et al.  Evaluation of interport performances: a state automaton approach , 1995, Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future.

[15]  P. Niérat,et al.  Market area of rail-truck terminals: Pertinence of the spatial theory , 1997 .

[16]  Stefan Nickel,et al.  Hub Location Problems in Urban Traffic Networks , 2001 .

[17]  Andreas T. Ernst,et al.  Exact and heuristic algorithms for the uncapacitated multiple allocation p-hub median problem , 1998 .

[18]  Luca Maria Gambardella,et al.  SIMULATION FOR POLICY EVALUATION , PLANNING AND DECISION SUPPORT IN AN INTERMODAL CONTAINER TERMINAL , 1998 .

[19]  Morton E. O'Kelly,et al.  Hub location with flow economies of scale , 1998 .

[20]  Dominique Peeters,et al.  Modelling a rail/road intermodal transportation system , 2004 .

[21]  Paul Davidsson,et al.  Market-Driven Control in Container Terminal Management , 2003 .

[22]  Elena Maggi The Location of Logistics Nodes , 1998 .

[23]  Claude Comtois,et al.  Intermodal freight terminals: locality and industrial linkages , 2001 .

[24]  Jinhyeon Sohn,et al.  The single allocation problem in the interacting three-hub network , 2000, Networks.

[25]  Hans-Jürgen Bürckert,et al.  A multi-agent perspective on intermodal transport chains , 1998 .

[26]  Erhan Kozan Increasing the operational efficiency of container terminals in Australia , 1997 .

[27]  D. Skorin-Kapov,et al.  On tabu search for the location of interacting hub facilities , 1994 .

[28]  Bertrand Mareschal,et al.  The PROMETHEE-GAIA decision support system for multicriteria investigations , 1994 .

[29]  Sungsoo Park,et al.  The single allocation problem in the interacting three-hub network , 2000 .

[30]  Michel Minoux,et al.  Networks synthesis and optimum network design problems: Models, solution methods and applications , 1989, Networks.

[31]  M. O'Kelly,et al.  A quadratic integer program for the location of interacting hub facilities , 1987 .

[32]  Panos M. Pardalos,et al.  A GRASP algorithm for the single source uncapacitated minimum concave-cost network flow problem , 1997, Network Design: Connectivity and Facilities Location.

[33]  Morton E. O'Kelly,et al.  Hub‐and‐Spoke Networks in Air Transportation: An Analytical Review , 1999 .

[34]  Hermann Gehring,et al.  A hybrid genetic algorithm for the container loading problem , 2001, Eur. J. Oper. Res..

[35]  Paul Davidsson,et al.  Agent-based simulation of stakeholders relations: an approach to sustainable port and terminal management , 2004 .

[36]  J. G. Klincewicz,et al.  Heuristics for the p-hub location problem , 1991 .

[37]  Angela Di Febbraro,et al.  Fault diagnosis in an intermodal container terminal , 2001, ETFA 2001. 8th International Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.01TH8597).

[38]  Vedat Verter,et al.  Facility location and capacity acquisition : an integrated approach , 1995 .

[39]  James F. Campbell Hub Location and the p-Hub Median Problem , 1996, Oper. Res..

[40]  Pierre Arnold,et al.  Localisation des centres de transbordement dans un système multi-réseaux : essai de formalisation , 1999 .

[41]  P. Nierat,et al.  Transport combiné rail-route : contraintes et performances des dessertes routières , 1992 .

[42]  Eiichi Taniguchi,et al.  CITY LOGISTICS. NETWORK MODELLING AND INTELLIGENT TRANSPORT SYSTEMS , 2001 .

[43]  Yijun Li,et al.  Agent-based design and organization of intermodal freight transportation systems , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

[44]  Bertrand Mareschal,et al.  The PROMCALC & GAIA decision support system for multicriteria decision aid , 1994, Decis. Support Syst..

[45]  Lawrence Henesey,et al.  A Multi Agent Based Simulator for Managing a Container Terminal , 2004 .

[46]  Luca Maria Gambardella,et al.  An optimization methodology for intermodal terminal management , 2001, J. Intell. Manuf..

[47]  Luca Maria Gambardella,et al.  Simulation and optimisation for management of intermodal terminals , 1997 .

[48]  R. Knowles,et al.  Modern transport geography , 1993 .

[49]  C. Degano,et al.  Multi-agent coordination and collaboration for control and optimization strategies in an intermodal container terminal , 2002, IEEE International Engineering Management Conference.

[50]  J. G. Klincewicz,et al.  A dual algorithm for the uncapacitated hub location problem , 1996 .

[51]  Kap-Hwan Kim,et al.  intermodal transportation , 2022, The Fairchild Books Dictionary of Fashion.

[52]  Athanasios Ballis,et al.  Development of an expert system for the evaluation of conventional and innovative technologies in the intermodal transport area , 2004, Eur. J. Oper. Res..

[53]  Illia Racunica,et al.  OPTIMAL LOCATION OF INTERMODAL FREIGHT HUBS , 2005 .

[54]  James F. Campbell,et al.  Integer programming formulations of discrete hub location problems , 1994 .

[55]  Jalal Ashayeri,et al.  Central Distribution in Europe: A Multi‐Criteria Approach to Location Selection , 1997 .

[56]  Stephen C. Graves,et al.  A composite algorithm for a concave-cost network flow problem , 1989, Networks.

[57]  Paul Davidsson,et al.  Agent-based simulation of stakeholders relations : An approach to sustainable port terminal management , 2003 .

[58]  Bcjm Rutten MEDIUM DISTANCE INTERMODAL RAIL TRANSPORT , 1995 .

[59]  Erhan Kozan,et al.  Genetic algorithms to schedule container transfers at multimodal terminals , 1999 .

[60]  Jie Zhang,et al.  Container World: Global agent-based modelling of the container transport business , 2003 .

[61]  J. Guldmann A GENERAL MIXED-INTEGER NONLINEAR OPTIMIZATION MODEL FOR HUB NETWORK DESIGN , 2001 .

[62]  Teodor Gabriel Crainic,et al.  Service network design in freight transportation , 2000, Eur. J. Oper. Res..

[63]  Erhan Kozan,et al.  A Tabu search technique applied to scheduling container transfers , 2001 .

[64]  Horst W. Hamacher,et al.  Classification of location models , 1998 .

[65]  Erhan Kozan,et al.  Optimising container transfers at multimodal terminals , 2000 .