Road accidents and accidental spills involving vehicles used to transport hazardous materials can cause significant damage to man and the environment. The level of hazard of the substances is linked to their intrinsic characteristics (flammability, toxicity, radioactivity, possibility of giving rise to explosions, etc.), as well as to the quantity transported, to the type and conditions of transport and storage and also to details environmental and territorial conditions. The present study aims to identify a set of alternative routes depending on the type of hazardous materials transported: paints / solvents between the municipalities of Gallipoli and Brindisi and liquid propane gas (LPG) between the municipalities of Lecce and Brindisi. For each track the following variables have been defined: the length of the path; the vehicular flow associated with each section examined; the number of light and heavy vehicles on the trunk; the average travel speed and time of the truck; the travelers and the population exposed during a trip of the hazardous carrier truck; the permeability of the soil affected by a possible spill; sensitive areas according to the Regional Territorial Landscape Plan (PPTR). The definition of the variables has presupposed the use of the possibility theory, that is the Fuzzy logic, which is a set of mathematical principles for the representation of knowledge based on the degrees of belonging to a set (degrees of membership). The data of each path, once fuzzified, have been implemented in the NAIADE software, Novel Approach to Imprecise Assessment and Decision Environments. Being a multi - criteria method developed in 1995 by professor Giuseppe Munda, it manages the ordering procedure of the alternatives in an integrated manner. Through an algorithm of aggregation of credibility indices, NAIADE calculates an index of intensity of the preference of an alternative with respect to another, thus allowing the identification of an alternative route better than another based on the values attributed to the variables implemented in the software.
Gli incidenti stradali e gli sversamenti accidentali che coinvolgono i veicoli adibiti al trasporto di merci pericolose possono causare significativi danni all’uomo e all’ambiente. Il livello di pericolosità delle sostanze è legato alle loro caratteristiche intrinseche (infiammabilità, tossicità, radioattività, possibilità di dar luogo ad esplosioni, ecc.), oltre che alla quantità trasportata, al tipo ed alle condizioni di trasporto e di stoccaggio ed anche a particolari condizioni ambientali e territoriali. Il presente studio mira a individuare un set di percorsi alternativi in funzione del tipo di merce pericolosa trasportata: pitture/solventi tra i comuni di Gallipoli e Brindisi e gas propano liquido (GPL) tra i comuni di Lecce e Brindisi. Per ciascun tracciato sono state definite le seguenti variabili in gioco: la lunghezza del percorso; il flusso veicolare associato a ciascun tratto in esame; il numero di veicoli leggeri e pesanti presenti sul tratto; la velocità e il tempo medi di percorrenza del camion; i viaggiatori e la popolazione esposti durante il viaggio del camion trasportatore di merce pericolosa; la permeabilità del suolo interessato da un eventuale sversamento; le aree sensibili secondo il Piano Paesaggistico Territoriale Regionale (PPTR). La definizione delle variabili ha presupposto il ricorso alla teoria delle possibilità, ovvero alla logica Fuzzy, che è un insieme di principi matematici per la rappresentazione della conoscenza basati sui gradi di appartenenza ad un insieme (degrees of membership). I dati di ciascun percorso, una volta fuzzificati, sono stati implementati nel software NAIADE, Novel Approach to Imprecise Assessment and Decision Environments. Essendo un metodo multi – criteriale sviluppato nel 1995 dal professore Giuseppe Munda, esso gestisce in maniera integrata la procedura di ordinamento delle alternative. Attraverso un algoritmo di aggregazione degli indici di credibilità, NAIADE calcola un indice di intensità della preferenza di un’alternativa rispetto ad un'altra consentendo così l’individuazione di un percorso alternativo migliore di un altro in base ai valori attribuiti alle variabili implementate nel software.
LA SCELTA DEL PERCORSO DI MINIMO RISCHIO NEL TRASPORTO DELLE MERCI PERICOLOSE IN CONDIZIONI DI INCERTEZZA
TREMOLIZZO, KRISTINA
2017/2018
Abstract
Road accidents and accidental spills involving vehicles used to transport hazardous materials can cause significant damage to man and the environment. The level of hazard of the substances is linked to their intrinsic characteristics (flammability, toxicity, radioactivity, possibility of giving rise to explosions, etc.), as well as to the quantity transported, to the type and conditions of transport and storage and also to details environmental and territorial conditions. The present study aims to identify a set of alternative routes depending on the type of hazardous materials transported: paints / solvents between the municipalities of Gallipoli and Brindisi and liquid propane gas (LPG) between the municipalities of Lecce and Brindisi. For each track the following variables have been defined: the length of the path; the vehicular flow associated with each section examined; the number of light and heavy vehicles on the trunk; the average travel speed and time of the truck; the travelers and the population exposed during a trip of the hazardous carrier truck; the permeability of the soil affected by a possible spill; sensitive areas according to the Regional Territorial Landscape Plan (PPTR). The definition of the variables has presupposed the use of the possibility theory, that is the Fuzzy logic, which is a set of mathematical principles for the representation of knowledge based on the degrees of belonging to a set (degrees of membership). The data of each path, once fuzzified, have been implemented in the NAIADE software, Novel Approach to Imprecise Assessment and Decision Environments. Being a multi - criteria method developed in 1995 by professor Giuseppe Munda, it manages the ordering procedure of the alternatives in an integrated manner. Through an algorithm of aggregation of credibility indices, NAIADE calculates an index of intensity of the preference of an alternative with respect to another, thus allowing the identification of an alternative route better than another based on the values attributed to the variables implemented in the software.I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/20.500.14253/107378