IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3003-d1060477.html
   My bibliography  Save this article

HBIM-Based Decision-Making Approach for Sustainable Diagnosis and Conservation of Historical Timber Structures

Author

Listed:
  • Silvia Santini

    (Department of Architecture, Roma Tre University, 00153 Rome, Italy)

  • Vittoria Borghese

    (Department of Architecture, Roma Tre University, 00153 Rome, Italy)

  • Carlo Baggio

    (Department of Architecture, Roma Tre University, 00153 Rome, Italy)

Abstract

Historical timber roofs play a significant role in architectural heritage, as listed in the World Heritage List protected by UNESCO. Despite their complexity, they are frequently lacking in maintenance, with the consequence that only a few original examples have been preserved until today, contradicting the principle of minimum intervention. In the paper, a decision-making approach has been proposed for the best and most sustainable solution, in which tradition and innovation meet to achieve the maximum quality with minimum intervention. With an emphasis on sustainability (environmental, economic, technological, historic, and social), analyses have been carried out in order to compare various intervention alternatives, modeled in a Heritage-Building Information Modeling (HBIM) environment, assessed using the Analytical Hierarchy Process (AHP), and implemented with the multi-criteria Modelo Integrado de cuantificacion de Valor para Edificacion Sostenibles (MIVES) methodology. The case study is the roof of the Michelangelo Cloister in the Diocletian Baths in Rome, which is a significant example of historical timber roofs. The results are given in terms of a quantitative sustainability index SI, which takes into account different alternatives of intervention, including the task of diagnosis.

Suggested Citation

  • Silvia Santini & Vittoria Borghese & Carlo Baggio, 2023. "HBIM-Based Decision-Making Approach for Sustainable Diagnosis and Conservation of Historical Timber Structures," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3003-:d:1060477
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3003/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3003/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. S. M. Amin Hosseini & Rama Ghalambordezfooly & Albert de la Fuente, 2022. "Sustainability Model to Select Optimal Site Location for Temporary Housing Units: Combining GIS and the MIVES–Knapsack Model," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    2. Richard Klavans & Kevin W. Boyack, 2006. "Quantitative evaluation of large maps of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 475-499, September.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    4. Silvia Santini & Vittoria Borghese & Mario Micheli & Erick Orellana Paz, 2022. "Sustainable Recovery of Architectural Heritage: The Experience of a Worksite School in San Salvador," Sustainability, MDPI, vol. 14(2), pages 1-21, January.
    5. Oriol Pons & Albert De la Fuente & Antonio Aguado, 2016. "The Use of MIVES as a Sustainability Assessment MCDM Method for Architecture and Civil Engineering Applications," Sustainability, MDPI, vol. 8(5), pages 1-15, May.
    6. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    7. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    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. David Boix-Cots & Francesc Pardo-Bosch & Pablo Pujadas, 2024. "Introducing the Comprehensive Value Function for Sustainability Full-Spectrum Assessment," Sustainability, MDPI, vol. 16(7), pages 1-14, March.

    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. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    2. João J. M. Ferreira & Cristina I. Fernandes & Sascha Kraus, 2019. "Entrepreneurship research: mapping intellectual structures and research trends," Review of Managerial Science, Springer, vol. 13(1), pages 181-205, February.
    3. Dzikowski, Piotr, 2018. "A bibliometric analysis of born global firms," Journal of Business Research, Elsevier, vol. 85(C), pages 281-294.
    4. Julian Andrés Diaz Tautiva & Felipe Ignacio Rifo Rivera & Sebastian Andrés Barros Celume & Sergio Andrés Rifo Rivera, 2024. "Mapping the research about organisations in the latin american context: a bibliometric analysis," Management Review Quarterly, Springer, vol. 74(1), pages 121-169, February.
    5. Roberto Pico-Saltos & Paúl Carrión-Mero & Néstor Montalván-Burbano & Javier Garzás & Andrés Redchuk, 2021. "Research Trends in Career Success: A Bibliometric Review," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    6. Belussi, Fiorenza & Orsi, Luigi & Savarese, Maria, 2019. "Mapping Business Model Research: A Document Bibliometric Analysis," Scandinavian Journal of Management, Elsevier, vol. 35(3).
    7. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    8. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    9. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.
    10. B. Elango, 2019. "A Bibliometric Analysis of Franchising Research (1988–2017)," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 28(2), pages 223-249, September.
    11. Fernando Morante-Carballo & Néstor Montalván-Burbano & Maribel Aguilar-Aguilar & Paúl Carrión-Mero, 2022. "A Bibliometric Analysis of the Scientific Research on Artisanal and Small-Scale Mining," IJERPH, MDPI, vol. 19(13), pages 1-29, July.
    12. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    13. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    14. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    15. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    16. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    17. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    18. Núria Bautista-Puig & Daniela De Filippo & Elba Mauleón & Elías Sanz-Casado, 2019. "Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media," Publications, MDPI, vol. 7(1), pages 1-22, February.
    19. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    20. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.

    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:15:y:2023:i:4:p:3003-:d:1060477. 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.