Published Jun 18, 2012
Francesca Abastante Marta Bottero Isabella Maria Lami


One of the crucial issues for Decision Makers when considering transport choices is how to simultaneously optimize several criteria that take into account technical, economic, territorial and environmental constraints., The present paper proposes the application of the Analytic Network Process (ANP) methodology for supporting the decision-making process related to the implementation of the railway corridor in Italy specifically the trans-European railway axis from Rotterdam to Genoa (i.e. Corridor 24). In particular, the objective of the work is to rank the effects that a delay in the construction of the Italian portion of the corridor would have on the territorial system. The full range of possible effects have been identified and grouped into three clusters (socio-economic aspects, environmental aspects and transport aspects). The ANP model includes both subjective and objective elements which also have some interdependencies. The complexity of the case under examination made it necessary to consult iterative experts and manage the process through a specific focus group and different questionnaires. The most important aspects of the decision problem were discovered as a result of this application.



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Analytic Network Process, transport infrastructures, evaluation, Corridor 24

Banister, D. (1994). Transport Planning. London: E & FN Spon.
Bertolini, L. (2001). Territorializzazione delle infrastrutture nei Paesi Bassi. In: G.
Dematteis & F. Governa (a cura di), Contesti locali e grandi infrastrutture. Milano:
Franco Angeli.
Bond, A.J. & Brooks, D.J. (1997). A strategic framework to determine the best
practicable environmental option for proposed transport schemes. Journal of
Environmental Management, 51, 305-321.
Bottero, M. & Lami, I.M. (2010). Analytic Network Process and sustainable mobility: an
application for the assessment of different scenarios. Journal of Urbanism, 3, 275 – 293.
Bottero, M., Ferretti, V. & Pomarico, S. (2010). Using the Analytic Network Process
(ANP) for enhancing public participation in urban planning processes. In: Proceedings of
the 72nd Meeting of the European Working Group "Multiple Criteria Decision Aiding",
7-9 October 2010, Paris.
Bottero, M., Lami, I.M. & Lombardi, P. (2008). Analytic Network Process. La
valutazione di scenari di trasformazione urbana e territoriale. Firenze: Alinea.
Carrara, M. & Arnone, M. (2011). La logistica del Nord-Ovest: il sistema intermodale.
In: XXXII Conferenza Italiana Di Scienze Regionali, 15-17 September 2011, Torino.
Chapman D., Pratt, D., Larkham, P. & Dickins, I. (2003). Concepts and definitions of
corridors: evidence from England’s Midlands. Journal of Transport Geography, 11, 179–
De Brucker, K., Verbeke, A. & Macharis C. (2004). The applicability of Multicriteriaanalysis
to the evaluation of Intelligent Transport Systems (ITS). Research in
Transportation Economics, 8, 151-179.
Figueira. J., Greco, S. & Ehrgott, M. (Eds.). (2005). Multiple Criteria Decision Analysis.
State of the Art Survey. New York: Springer.
Fubini A. (ed) (2008). Corridor Policies and Territorial Development. FrancoAngeli:
Jefferson, C. (1996). Improving access by public transport. Landscape and Urban
Planning, 35, 173-176.
Lami, I.M. & Staffelbach, L. (2008). Evaluating the urban redevelopment of railway
sites: Zurich Central Station and surrounding areas. Proceedings of the Third KuhmoNectar
Conference - Transport and Urban Economics, 3-4 July 2008, Amsterdam.
Lami, I.M., Masala E. & Pensa S. (2011). Analytic Network Process (ANP) and
visualization of spatial data: the use of dynamic maps in territorial transformation
processes. International Journal of the Analytic Hierarchy Process, 4(1), 92-106.
Liu, K. & Lai, J.K. (2009). Decision-support for environmental impact assessment: A
hybrid approach using fuzzy logic and fuzzy analytic network process. Expert Systems
with Applications, 36, 5119–5136.
Nekhay, O., Arriaza, M. & Boerboom, L. (2009). Evaluation of soil erosion risk using
Analytic Network Process and GIS: a case study from Spanish mountain olive
plantations. Journal of Environmental Management, 90, 3091-3104.
Ortuzar, J. & Willumsen, L. (2001). Modelling transport. Chichester: Wiley.
Piantanakulchai, M. (2005). Analytic Network Process model for highway corridor
planning. Proceedings of ISAHP 2005. Honolulu, Hawaii.
Romein A., Trip J.J. & Vries J. de (2000). Theoretical Framework. Report within the
Framework of Action 3 of CORRIDESIGN. OTB Research Institute, Delft University of
Technology, Delft.
Saaty, R.W. (2003). Decision-making in Complex Environments: The Analytic Hierarchy
Process (AHP) for Decision-making and The Analytic Network Process (ANP) for
Decision-making with Dependence and Feedback. Pittsburgh: RWS Publications.
Saaty, T.L. (1980). The Analytic Hierarchy Process. New York: McGraw Hill.
Saaty, T.L. (2005). Theory and Applications of the Analytic Network Process. Pittsburgh:
RWS Publications.
Saaty, T.L. & Vargas, L.G. (2006). Decision Making with the Analytic Network Process.
New York: Springer Science.
Saaty, T.L. & Ozdemir, S.O. (2008). The Encyclicon: A Dictionary of Applications of
Decision Making with Dependence and Feedback Based on the Analytic Network
Process. Pittsburgh: RWS Publications.
Stefan A, (2008). Supporting multi-stakeholder environmental decision. Journal of
Environmental Management, 88, 607-614.
Tuzkaya, G. & Onut, S. (2008). A fuzzy Analytic Network Process based approach to
transportation-mode selection between Turkey and Germany: a case study. Information
Sciences, 178(15), 3133-3146.
Waddel, P. (2011). Integrated land use and transportation planning and modeling:
addressing challenges in research and practice. Transport Reviews, 31(2), 209-229.
Whitehead, T., Simmonds, D. & Preston, J. (2006). The effect of urban quality
improvements on economic activity, Journal of Environmental Management, 80, 1-12.
Wijnmalen, D.J.D. (2007). Analysis of benefits, opportunities, costs, and risks (BOCR)
with the AHP–ANP: a critical validation. Mathematical and Computer Modelling,
46(7/8), 892-905.