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Strategic Development Scenarios in Inland Areas: Logical Framework Approach Preparing Collaborative Design

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14110))

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Abstract

Inland areas in Italy are experiencing an increasing trend of depopulation and a critical lack of territorial competitiveness. A “place-based” spatial development policy is seen as an effective way to address this structural weakness, reducing the social and economic exclusion of resident communities. The paper’s aim is to apply a study method based on the Logical Framework Approach (LFA) structured methodology that, at the outset, requires an in-depth knowledge of the local context. The study area is located in the Basilicata Region’s hinterland and displays the same features of Italian inland areas, far from the centres offering essential services and a fragmented settlement system. The study is composed of a first analysis phase, through the geoSWOT definition. This is followed by a problem analysis and the consequent objective identification phase. Finally, the strategy organised in the Logical Framework Matrix (LFM) is set out, which highlights the rational link between the structure levels. The conclusions highlight the method’s robustness as a teaching strategy in urban and regional studies. The specific results achieved are closely in line with the New Urban Agenda (NUA) goals and represent a downscaling to specific case studies.

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Notes

  1. 1.

    “Progetto MITIGO”. https://www.mitigoinbasilicata.it/ (accessed Apr. 04, 2023).

  2. 2.

    The old-age index is a synthetic but very dynamic indicator of a population’s ageing status. It is obtained by relating the amount of the elderly population (65 years and over) to the youth population (0–14 years), multiplied by 100.

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Authors and Affiliations

  1. School of Engineering, Laboratory of Urban and Regional Systems Engineering, University of Basilicata, 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Barbara Castellaneta, Priscilla Sofia Dastoli, Simone Corrado, Rachele Gatto, Rossella Scorzelli, Shiva Rahmani & Francesco Scorza

Authors
  1. Barbara Castellaneta
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  2. Priscilla Sofia Dastoli
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  3. Simone Corrado
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  4. Rachele Gatto
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  5. Rossella Scorzelli
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  6. Shiva Rahmani
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  7. Francesco Scorza
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Corresponding author

Correspondence to Priscilla Sofia Dastoli .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Castellaneta, B. et al. (2023). Strategic Development Scenarios in Inland Areas: Logical Framework Approach Preparing Collaborative Design. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14110. Springer, Cham. https://doi.org/10.1007/978-3-031-37123-3_12

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  • DOI: https://doi.org/10.1007/978-3-031-37123-3_12

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