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International Conference on Computational Science and Its Applications

ICCSA 2018: Computational Science and Its Applications – ICCSA 2018 pp 639–653Cite as

Smart City Governance Strategies to Better Move Towards a Smart Urbanism

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10962))

Abstract

This paper intends to summarize the principal reached objectives of an ongoing project on smart cities governance called GHOST financed by MIUR (Italian Ministry of Education, Universities and Research), in order to provide an overview on how the smart governance analysis applied to smart urbanism has evolved in two particular case studies in Italy (Cagliari and Florence). Firstly, authors analyze the concept of ‘Smart City Governance’ (SCG), it is associated with a set of commonly accepted terminologies and not yet standardized even if nowadays academic attention to smart cities and their governance is growing rapidly. Secondly, this paper analyses the major aspects of smart city governance applied to case studies from: (i) the governance data acquisition approach with particular reference to tourism sector, and (ii) the adaptations of urban strategies (in general) and of these data acquisition in Florence and in Cagliari (in particular), due to the Km4city city dashboard, created and developed by the DISIT lab. The paper concludes by evaluating the emerged results of the case studies analysis, in order to find the necessary balance for urban synergies, and, consequently, to better move towards a smart urbanism.

This paper is the result of the joint work of Chiara Garau, Paola Zamperlin and Michela Paolucci. Margherita Azzari and Paolo Nesi supervised the article.

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Acknowledgments

This study was supported by the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled Governing tHe smart city: a gOvernance-centred approach to SmarT urbanism - GHOST (Project code: RBSI14FDPF; CUP Code: F22I15000070008), financed with the SIR (Scientific Independence of Young Researchers) programme. We authorize the MIUR to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notations thereon. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the MIUR.

Author information

Authors and Affiliations

  1. Applied Geography Lab, Department SAGAS, University of Florence, Florence, Italy

    Margherita Azzari

  2. DICAAR – Department of Civil and Environmental Engineering and Architecture, University of Cagliari, 09123, Cagliari, Italy

    Chiara Garau & Paola Zamperlin

  3. DISIT Lab, DINFO, University of Florence, Florence, Italy

    Paolo Nesi & Michela Paolucci

Authors
  1. Margherita Azzari
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  2. Chiara Garau
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  3. Paolo Nesi
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  4. Michela Paolucci
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  5. Paola Zamperlin
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Corresponding author

Correspondence to Chiara Garau .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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Azzari, M., Garau, C., Nesi, P., Paolucci, M., Zamperlin, P. (2018). Smart City Governance Strategies to Better Move Towards a Smart Urbanism. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10962. Springer, Cham. https://doi.org/10.1007/978-3-319-95168-3_43

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  • DOI: https://doi.org/10.1007/978-3-319-95168-3_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95167-6

  • Online ISBN: 978-3-319-95168-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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