Massima Entropia generalizzata e Simple Component Analysis per l'analisi della customer satisfaction nel trasporto pubblico locale: l'esperienza dell'azienda AMTS di Benevento

Journal title RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO
Author/s Enrico Ciavolino, Luigi D’Ambra, Daniela De Franco
Publishing Year 2008 Issue 2007/3 Language Italian
Pages 21 P. 201-221 File size 301 KB
DOI
DOI is like a bar code for intellectual property: to have more infomation click here

Below, you can see the article first page

If you want to buy this article in PDF format, you can do it, following the instructions to buy download credits

Article preview

FrancoAngeli is member of Publishers International Linking Association, Inc (PILA), a not-for-profit association which run the CrossRef service enabling links to and from online scholarly content.

Generalized maximum entropy and simple component analysis for the customer satisfaction analysis in the local public transportation. The experience of the AMTS company (by Enrico Ciavolino, Luigi D’Ambra, Daniela De Franco). Objectives The necessity of developing an integrated system for evaluating the Passenger Satisfaction (PS) in the Local Public Transportation (LPT), is introduced in the our paper. The approach is presented in the second paragraph, where the main characteristics and the peculiarities of the PS survey and analysis management processes based, are explained by the experience of the ‘Azienda Mobilita Trasporti Sannio’(AMTS) Company of Benevento. Methods and Results In the third paragraph, the methodology Simple Component Analysis (SCA) is showed for analyzing and evaluating the questionnaire submitted to the customers of the LPT. The PS is formalized and studied by the Structural Equation Model (SEM) based on an innovative estimation method called Generalized Maximum Entropy (GME) showed in the forth paragraph. Conclusions The paper is concluded by a real experience of PS, processes based, realized by AMTS Company, where the potentialities of the statistical tools are showed. The statistical results obtained, are used by the decision makers, for choosing the quality characteristics have to been improved, for increase the level of the satisfaction, of their passengers.

Enrico Ciavolino, Luigi D’Ambra, Daniela De Franco, Massima Entropia generalizzata e Simple Component Analysis per l'analisi della customer satisfaction nel trasporto pubblico locale: l'esperienza dell'azienda AMTS di Benevento in "RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO" 3/2007, pp 201-221, DOI: