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Enhancement of Small Towns in Inland Areas. A Novel Indicators Dataset to Evaluate Sustainable Plans

Author

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  • Antonio Nesticò

    (Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy)

  • Pierfrancesco Fiore

    (Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy)

  • Emanuela D’Andria

    (Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy)

Abstract

In response to the abandonment and depopulation of small towns in inland areas, it is necessary to provide analysis and technical-economic evaluation tools with the aim of selecting effective recovery and valorization strategies. In the light of what criteria and indicators should this selection be carried out? The principles of sustainability guide us to a new definition of social, economic, environmental, and historical-architectural criteria. The intention is to outline a new way of classifying the judgment criteria, exclusively referring to the peculiarities of small towns. In turn, the criteria are specifically defined in sixteen sub-criteria, again able to represent the salient features of small municipalities: Local traditions, genius loci , urbanization levels, but also prevailing economy, environmental (flora and fauna, water, soil, air, etc.), and historical-architectural components (relations between the small town and the immediate context, formal relationship between building and urban core, etc.). This is followed by the drafting of a novel dataset of evaluation indicators, capable of expressing the project actions’ capacity to pursue the objectives expressed by the criteria. These are datasets that give back 24 indicators for the social sub-criteria, 42 for the economic sub-criteria, 34 for the environmental ones, and 38 for the historical-architectural ones. The goal-criteria-subcriteria-indicators structure outlined in this paper opens up research perspectives on the characterization of a hierarchical model of multi-criteria analysis.

Suggested Citation

  • Antonio Nesticò & Pierfrancesco Fiore & Emanuela D’Andria, 2020. "Enhancement of Small Towns in Inland Areas. A Novel Indicators Dataset to Evaluate Sustainable Plans," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6359-:d:395788
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    References listed on IDEAS

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    2. Antonio Nesticò & Shuquan He & Gianluigi De Mare & Renato Benintendi & Gabriella Maselli, 2018. "The ALARP Principle in the Cost-Benefit Analysis for the Acceptability of Investment Risk," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
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    4. Antonio Nesticò & Piera Somma, 2019. "Comparative Analysis of Multi-Criteria Methods for the Enhancement of Historical Buildings," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
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    7. Roberta Troisi & Gaetano Alfano, 2019. "Towns as Safety Organizational Fields: An Institutional Framework in Times of Emergency," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    8. Guitouni, Adel & Martel, Jean-Marc, 1998. "Tentative guidelines to help choosing an appropriate MCDA method," European Journal of Operational Research, Elsevier, vol. 109(2), pages 501-521, September.
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    Cited by:

    1. Min Wang & Shuqi Yang & Huajie Gao & Kahaer Abudu, 2021. "The Characteristics, Influencing Factors, and Push-Pull Mechanism of Shrinking Counties: A Case Study of Shandong Province, China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    2. Delu Wang & Yadong Wang, 2021. "Emergency Capacity of Small Towns to Endure Sudden Environmental Pollution Accidents: Construction and Application of an Evaluation Model," Sustainability, MDPI, vol. 13(10), pages 1-34, May.

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