IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i15p4242-d255099.html
   My bibliography  Save this article

Multidimensional Measurement of the Level of Consistency of Farm Buildings with Rural Heritage: A Methodology Tested on an Italian Case Study

Author

Listed:
  • Stefano Benni

    (Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy)

  • Elisabetta Carfagna

    (Department of Statistical Sciences, University of Bologna, 40126 Bologna, Italy)

  • Daniele Torreggiani

    (Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy)

  • Elisabetta Maino

    (Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy)

  • Marco Bovo

    (Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy)

  • Patrizia Tassinari

    (Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy)

Abstract

The industrialization after World War II marked a severe discontinuity between rural heritage and contemporary farm buildings. Rural landscapes have thus become more and more uniform; historical buildings are often abandoned and degraded, while contemporary buildings are often disconnected from their surrounding environment. Besides aiming to protect and restore rural heritage—more and more acknowledged as a common good contributing to societal identity—attention should be paid to increasing the quality of new buildings, a crucial issue to improve landscape quality in everyday landscape contexts. Based on a series of previous studies carried out to develop and test a robust methodology allowing the analysis of the main formal features of rural buildings, organized in a comprehensive framework known as the FarmBuiLD model (Farm Building Landscape Design), this study aims to perform an integrated and compared analysis of sets of traditional and contemporary rural buildings through experimental trials on an Italian case study. In particular, the study focuses on defining and measuring indexes allowing the quantification of the level of consistency of contemporary buildings with the traditional typologies. A contemporary farm building is evaluated based on the distance of each of its formal features from those which proved to be representative of the corresponding traditional building type, evaluated through a cluster analysis of the typological characters of traditional buildings in the study area. The results showed that different degrees of dissonance can be detected. Similarities have been found, in particular with respect to the shape of buildings and their closure with regards to landscape. The major dissonances are related to the perception of buildings as flattened on the ground, due to their excessively elongated shape, and in the case of buildings completely permeable to landscape, this being necessary for structural purposes and for the type of use of historic buildings. The expected impact of this study is to provide designers and planners with indicators allowing the evaluation, on an objective basis, of the level of consistency of new buildings with local rural heritage, thus supporting both design phases and project evaluation as well as building management processes (maintenance, restoration, extension, change in use, etc.).

Suggested Citation

  • Stefano Benni & Elisabetta Carfagna & Daniele Torreggiani & Elisabetta Maino & Marco Bovo & Patrizia Tassinari, 2019. "Multidimensional Measurement of the Level of Consistency of Farm Buildings with Rural Heritage: A Methodology Tested on an Italian Case Study," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4242-:d:255099
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/15/4242/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/15/4242/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrizia Tassinari & Daniele Torreggiani & Stefano Benni & Enrica Dall'Ara, 2013. "Landscape Quality in Farmyard Design: An Approach for Italian Wine Farms," Landscape Research, Taylor & Francis Journals, vol. 38(6), pages 729-749, December.
    2. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    3. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    4. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giuseppe La Verde & Vittoria D’Avino & Carlo Sabbarese & Fabrizio Ambrosino & Vincenzo Roca & Adelaide Raulo & Mariagabriella Pugliese, 2020. "Radiation Protection Legislation and Sustainable Development of a Rural Green Tuff Village of Ischia Island," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    2. Sardaro, Ruggiero & La Sala, Piermichele & De Pascale, Gianluigi & Faccilongo, Nicola, 2021. "The conservation of cultural heritage in rural areas: Stakeholder preferences regarding historical rural buildings in Apulia, southern Italy," Land Use Policy, Elsevier, vol. 109(C).
    3. Karol Król & Robert Kao & Józef Hernik, 2019. "The Scarecrow as an Indicator of Changes in the Cultural Heritage of Rural Poland," Sustainability, MDPI, vol. 11(23), pages 1-23, December.
    4. Xiangrui Xiong & Yanhui Wang & Melisa Pesoa-Marcilla & Joaquín Sabaté-Bel, 2022. "Dependence on Mountains and Water: Local Characteristics and Regeneration Patterns of Rural Industrial Heritage in China," Land, MDPI, vol. 11(8), pages 1-22, August.
    5. Xiaokang Wang & Li Zhu & Jiang Li & Ni Zhang & Yue Tang & Yilin Sun & Honglin Wu & Chuang Cheng, 2023. "Architectural Continuity Assessment of Rural Settlement Houses: A Systematic Literature Review," Land, MDPI, vol. 12(7), pages 1-17, July.
    6. Valentina-Miriam Cittati & Jessica Balest & Dagmar Exner, 2022. "What Is the Relationship between Collective Memory and the Commoning Process in Historical Building Renovation Projects? The Case of the Mas di Sabe, Northern Italy," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    7. Juanjo Galan & Felix Bourgeau & Bas Pedroli, 2020. "A Multidimensional Model for the Vernacular: Linking Disciplines and Connecting the Vernacular Landscape to Sustainability Challenges," Sustainability, MDPI, vol. 12(16), pages 1-22, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    2. Qingyun Du & Yanxia Wang & Fu Ren & Zhiyuan Zhao & Hongqiang Liu & Chao Wu & Langjiao Li & Yiran Shen, 2014. "Measuring and Analysis of Urban Competitiveness of Chinese Provincial Capitals in 2010 under the Constraints of Major Function-Oriented Zoning Utilizing Spatial Analysis," Sustainability, MDPI, vol. 6(6), pages 1-26, May.
    3. Laurens CHERCHYE & Willem MOESEN & Nicky ROGGE & Tom VAN PUYENBROECK, 2009. "Constructing a knowledge economy composite indicator with imprecise data," Working Papers of Department of Economics, Leuven ces09.15, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    4. Nuno Boavida, 2011. "How composite indicators of innovation can influence technology policy decision?," IET Working Papers Series 03/2011, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    5. Pacheco, Joaquín & Casado, Silvia & Porras, Santiago, 2013. "Exact methods for variable selection in principal component analysis: Guide functions and pre-selection," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 95-111.
    6. Edson Kogachi & Adonias Ferreira & Carlos Cavalcante & Marcelo Embiruçu, 2021. "Development of Performance Evaluation Indicators for Table Grape Packaging Units. 2. Global Indexes," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    7. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    8. Laurens Cherchye & Erwin Ooghe & Tom Puyenbroeck, 2008. "Robust human development rankings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(4), pages 287-321, December.
    9. Van den Bossche, Filip & Rogge, Nicky & Devooght, Kurt & Van Puyenbroeck , Tom, 2009. "Robust CSR Investment Screening," Working Papers 2009/05, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    10. Gardó, Sándor & Klaus, Benjamin, 2020. "Overcapacities in banking: Measurement, trends and determinants," Economic Modelling, Elsevier, vol. 91(C), pages 819-834.
    11. Stefano Landi & Enrico Ivaldi & Angela Testi, 2018. "Measuring Change Over Time in Socio-economic Deprivation and Health in an Urban Context: The Case Study of Genoa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 745-785, September.
    12. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    13. Michael Klien & Michael Böheim & Matthias Firgo & Andreas Reinstaller & Peter Reschenhofer & Yvonne Wolfmayr, 2021. "Stärkung der Unabhängigkeit des Wirtschaftsstandortes Österreich bei kritischen Produkten," WIFO Studies, WIFO, number 67234, March.
    14. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    15. Bryony Hoskins & Massimiliano Mascherini, 2009. "Measuring Active Citizenship through the Development of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 90(3), pages 459-488, February.
    16. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    17. Hermans, Elke & Van den Bossche, Filip & Wets, Geert, 2009. "Uncertainty assessment of the road safety index," Reliability Engineering and System Safety, Elsevier, vol. 94(7), pages 1220-1228.
    18. Cappelli, Federica & Carnazza, Giovanni, 2023. "The Multi-dimensional Oil Dependency Index (MODI) for the European Union," Resources Policy, Elsevier, vol. 82(C).
    19. Ageliki Anagnostou & Dimitris Kallioras & Christos Kollias, 2016. "Governance Convergence Among the EU28?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 133-146, October.
    20. Stefania Capecchi & Rosaria Simone, 2019. "A Proposal for a Model-Based Composite Indicator: Experience on Perceived Discrimination in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 95-110, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4242-:d:255099. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.