Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming

Leonardo Caggiani, Michele Ottomanelli and Dell’Orco, Mauro

Transportation Research Part E: Logistics and Transportation Review, 2014, vol. 71, issue C, 159-172

Abstract: Recently, great attention has been paid to the uncertainties associated with Multi Regional Input-Output (MRIO) models related to the available data sources. We propose a new method based on the entropy maximization principle and fuzzy optimization, which takes explicitly into account the uncertainty embedded in available information. It allows to estimate jointly the values of production level, the trade coefficients and the final demand values assuming the availability of incomplete and/or approximate data on some elements of trade coefficients and of final demand of goods. The model, applied to real scale problem, shows good estimation performances and robustness in different scenario.

Keywords: Multi Regional Input Output Model; Freight demand estimation; Uncertainty; Fuzzy programming; Entropy maximization (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.tre.2014.09.006

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