An analytical methodology to estimate the potential volume attracted by a rail-road intermodal terminal

This paper introduces an analytical methodology to estimate the “potential” freight traffic volume that could be attracted by an intermodal terminal. The “potential volume” is understood to be the local road traffic share that is likely to be diverted from road to rail-road intermodality. The methodology is particularly tailored for the design and the location of a new rail-road intermodal structure. However, it could be usefully adopted either to assess the performances of an existing one, or in supporting expansion investments. The model requires freight flows of the region as input data, which should be organised in a from/to matrix. The output consists of the potential volume that could be attracted by the intermodal terminal. Outcomes are computed by means of an appropriate “affinity index”, which strives to quantify the aptitude of freight road flows to be managed through rail-road intermodal transportation, assessing the likelihood of a mode shift from road haulage to intermodality. The methodology is then tested and validated through a real case application, referring to a major Italian intermodal terminal.

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

[2]  Kenneth Button,et al.  Environmental Externalities and Transport Policy , 1990 .

[3]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[4]  B. Landheer,et al.  European Conference of Ministers of Transport , 1966 .

[5]  H. Arjen van Klink,et al.  Gateways and intermodalism , 1998 .

[6]  G. Koopman ECONOMIC INSTRUMENTS FOR SUSTAINABLE MOBILITY: THE CASE OF FREIGHT TRANSPORT , 1995 .

[7]  John Golias,et al.  Towards the improvement of a combined transport chain performance , 2004, Eur. J. Oper. Res..

[8]  L A Hoel,et al.  FREIGHT PLANNING REQUIREMENTS FOR INTERSTATE CORRIDORS , 1998 .

[9]  Cathy Macharis,et al.  Opportunities for OR in intermodal freight transport research: A review , 2004, Eur. J. Oper. Res..

[10]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[11]  Jan Jacob Trip,et al.  Integration of small freight flows in the intermodal transport system , 2002 .

[12]  Thomas L. Saaty Fundamentals of decision making and priority theory , 2000 .

[13]  L. C. Leung,et al.  On consistency and ranking of alternatives in fuzzy AHP , 2000, Eur. J. Oper. Res..

[14]  Dennis A. Rondinelli,et al.  Multimodal transportation, logistics, and the environment: managing interactions in a global economy , 2000 .

[15]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[16]  R. Tiwari,et al.  Fuzzy goal programming- an additive model , 1987 .

[17]  Wade D. Cook,et al.  Performance measurement and classification data in DEA: Input-oriented model , 2007 .

[18]  Dimitrios A Tsamboulas,et al.  Freight village evaluation under uncertainty with public and private financing , 2003 .

[19]  Evangelos Triantaphyllou,et al.  Development and evaluation of five fuzzy multiattribute decision-making methods , 1996, Int. J. Approx. Reason..

[20]  Glen M. D'Este,et al.  AN EVENT-BASED APPROACH TO MODELLING INTERMODAL FREIGHT SYSTEMS. IN: TRANSPORT LOGISTICS , 1993 .

[21]  Martin Ruesch,et al.  Potentials for Modal Shift in Freight Transport , 2001 .

[22]  I. Graham Fuzzy set theory and its applications (2nd Edition): This book by H.-J. Zimmermann is published by Kluwer Academic Publisher, Dordrecht (1991, 399 pp, US$69.95, ISBN 0-7923-9075-X). , 1991 .

[23]  Anthony Kenneth Charles Beresford,et al.  Modelling Freight Transport Costs: A Case Study of the UK-Greece Corridor , 1999 .