Using qualitative information to predict citizens' satisfaction

  • Authors:

  • Marta Domingo;Núria Agell;Xavier Parra;Mónica Sánchez;Cecilio Angulo

  • Affiliations:

  • GREC Group and ESAII-UPC, Av. Víctor Balaguer s/n, 08800 Vilanova i la Geltrú, Spain E-mail: {marta.domingo, xavier.parra, cecilio.angulo}@upc.edu;GREC Group and ESADE-URL, Av. Pedralbes, 60, 08034 Barcelona, Spain E-mail: nuria.agell@esade.edu;GREC Group and ESAII-UPC, Av. Víctor Balaguer s/n, 08800 Vilanova i la Geltrú, Spain E-mail: {marta.domingo, xavier.parra, cecilio.angulo}@upc.edu;GREC Group and MA2-UPC, Jordi Girona, 1, 3, 08034 Barcelona, Spain E-mail: monica.sanchez@upc.edu;GREC Group and ESAII-UPC, Av. Víctor Balaguer s/n, 08800 Vilanova i la Geltrú, Spain E-mail: {marta.domingo, xavier.parra, cecilio.angulo}@upc.edu

  • Venue:
  • AI Communications - Model-Based Systems
  • Year:
  • 2007

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Abstract

In studies concerned with sustainability the underlying models are, in most cases, not strictly numerical since they depend on many conditions that can be regarded as qualitative. In this paper, a model to evaluate citizens' satisfaction learnt from data collected from a survey is presented. The model, which involves the use of RBF neural networks, will provide local councillors with useful information, enabling them to evaluate trends and improve strategies focused on enhancing sustainability. In this paper a contribution describing a practical experience with a model-based system applied to a study commissioned by the town council of Vilanova i la Geltrú (Catalonia, Spain) is presented.