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Índices de Ciudades Inteligentes: construcción y análisis de un indicador para la ciudad de Bahía Blanca

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  • Marcos Nahuel Martínez Stanziani

Abstract

Recientemente ha surgido el concepto de Ciudades Inteligentes como nuevas formas de urbanidad socialmente sostenibles. Su relevancia obedece a dos procesos: el crecimiento de la población, especialmente urbana, y la revolución digital, que propicia el uso e implementación de las Tecnologías de la Información y de la Comunicación (TIC) en las ciudades. En este sentido, los municipios cumplen un rol para atenuar la brecha digital brindando oportunidades de acceso a la población, promoviendo la participación y compromiso ciudadano y alentando la sostenibilidad en los asuntos públicos a través de soluciones basadas en el uso de las TIC. Aunque existen índices internacionales de ciudades inteligentes, éstos se centran en ciudades globales de países desarrollados. A su vez, la percepción de los ciudadanos respecto de las innovaciones urbanas ha comenzado a ser relevante. Luego, el objetivo de este trabajo es contribuir a la medición del grado de inteligencia de las ciudades. En particular, proponer un índice de Ciudad Inteligente con indicadores subjetivos (percepción ciudadana). Se utilizarán los datos disponibles de una encuesta para la ciudad de Bahía Blanca. El trabajo podrá ser replicado en otros municipios con similares características.

Suggested Citation

  • Marcos Nahuel Martínez Stanziani, 2020. "Índices de Ciudades Inteligentes: construcción y análisis de un indicador para la ciudad de Bahía Blanca," Asociación Argentina de Economía Política: Working Papers 4374, Asociación Argentina de Economía Política.
    • Handle: RePEc:aep:anales:4374
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    1. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    2. Marsal-Llacuna, Maria-Lluïsa & Colomer-Llinàs, Joan & Meléndez-Frigola, Joaquim, 2015. "Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 611-622.
    3. John V. Winters, 2011. "Why Are Smart Cities Growing? Who Moves And Who Stays," Journal of Regional Science, Wiley Blackwell, vol. 51(2), pages 253-270, May.
    4. Luca Mora & Roberto Bolici & Mark Deakin, 2017. "The First Two Decades of Smart-City Research: A Bibliometric Analysis," Journal of Urban Technology, Taylor & Francis Journals, vol. 24(1), pages 3-27, January.
    5. Miltiadis D. Lytras & Anna Visvizi & Akila Sarirete, 2019. "Clustering Smart City Services: Perceptions, Expectations, Responses," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    6. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
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    JEL classification:

    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General
    • Z0 - Other Special Topics - - General

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