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Sport-City Planning. A Proposal for an Index to Support Decision-Making Practice: Principles and Strategies

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

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Abstract

Currently more than half of the world population - between formal and informal urban settlements - has been affected by the health crisis. In cities there are great difficulties in facing the new challenges that are intertwined between urban-environmental and economic aspects. Cities were among the first and most affected areas hit by the epidemic, however they have always been places of maximum creativity and innovation, deriving precisely from the aggregation processes of social and economic networks. These same networks actually favored the spread of the health crisis. In recent months, many scenarios have been advanced for a renewed urban development, to favor the reduction of contacts, including the idea of ‘villages’ and the “city of 15 min”. In this framework, some questions arise: what are the multi-sectoral policies that can make cities more inclusive, sustainable, reducing vulnerability and health risks? What individual commitment can cities make into a model of health promotion? These questions guided the authors in evaluating the role of the Sport-city in the research of the post-pandemic city through qualitative/quantitative indicators in the main Italian provinces and metropolitan cities, between health and well-being and environment, proposing a specific index (UPA - Urban Physical Activity Index) to support Sport-city planning initiatives aimed at the health-well-being of communities through urban design.

The paper is part of the activities of the Interdepartmental Center “Cagliari Accessibility Lab” of the University of Cagliari. This study was supported by the research grant for the project “Investigating the relationships between knowledge-building and design and decision-making in spatial planning with geodesign” funded by Fondazione di Sardegna (2018).

This paper is the result of the joint work of the authors. In particular: Sect. 1 has been written by G. Balletto. Sect. 2 has been written by P. Castiglia, M. Dettori, A. Arghittu; Sect. 3.1 by A. Milesi, M. Ladu; Sect. 3.2 by G. Balletto, Sect. 3.3 by A. Milesi, M. Ladu; Sect. 4 by G. Balletto; Sect. 5 by A. Milesi, M. Ladu; Sect. 6 by Ginevra Balletto and Sect. 7 by G. Borruso.

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Author information

Authors and Affiliations

  1. DICAAR - Department of Civil and Environmental Engineering and Architecture, University of Cagliari, 09100, Cagliari, Italy

    Ginevra Balletto, Alessandra Milesi & Mara Ladu

  2. DEAMS - Department of Economics, Business, Mathematics and Statistics Sciences “Bruno de Finetti”, University of Trieste, 34127, Trieste, Italy

    Giuseppe Borruso

  3. DMCS - Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy

    Paolo Castiglia, Marco Dettori & Antonella Arghittu

Authors
  1. Ginevra Balletto
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  2. Giuseppe Borruso
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  3. Alessandra Milesi
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  4. Mara Ladu
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  5. Paolo Castiglia
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  6. Marco Dettori
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  7. Antonella Arghittu
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Corresponding author

Correspondence to Ginevra Balletto .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Balletto, G. et al. (2021). Sport-City Planning. A Proposal for an Index to Support Decision-Making Practice: Principles and Strategies. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12952. Springer, Cham. https://doi.org/10.1007/978-3-030-86973-1_18

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