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The smart urban planning method

  • Autores: María Luisa Marsal Llacuna
  • Directores de la Tesis: Beatriz López Ibáñez (dir. tes.)
  • Lectura: En la Universitat de Girona ( España ) en 2013
  • Idioma: español
  • Tribunal Calificador de la Tesis: Núria Agell Jané (presid.), Joaquim Meléndez Frigola (secret.), Ramón Sangüesa (voc.)
  • Materias:
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  • Resumen
    • In this dissertation we propose an objective method for updating traditional urban planning methodologies based on input from citizens regarding their current and future urban requirements. Specifically, our methodology is based on citizen web ¿ based surveys regarding urban time use allocation and opinions concerning how to cover urban needs, and on the use of data mining tools to process the collected data.

      The new planning values for urban land use design are obtained from an innovative conversion rule which transforms the daily distribution of urban time use into quantities of urban land use.

      The Smart Urban Planning Method presented here is accompanied by different insights which provide methodological extensions. These extensions aim to identify difficulties and problems associated with the research topic and bring to light potential solutions.

      These insights are developed in the form of models. Precisely, we provide a model that uses a hypermedia adaptive survey to gain voluntary participation from citizens. A second model covers the very much needed integrated representation and visualization of urban data. The final model is based on agent technology for more meaningful public participation in urban planning.

      We test our Method by experimenting with a case study on the specific urban subsystem of public facilities and services, and use Girona Province as a pilot area. Our novel Method obtains new, objective, and more accurate design values for urban planning using citizens¿ satisfaction thresholds. In addition, as an example of further application of the Method, we develop a municipal classification on self sufficiency in the services and facilities subsystem according to citizens¿ satisfaction values.


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