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Smart Redevelopment of Existing Buildings. Use of BIM in Economic Value Judgments

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Urban Regeneration Through Valuation Systems for Innovation

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Industry 4.0, digitalization, smart building, virtual reality: these are terms that are also entering into the common use of a traditional sector such as that of real estate, a sector that today is at the centre of a revolution of approaches, methods, and processes. There is a change in the way of understanding the building that goes from being a simple shell to an advanced technological object. The advantages of living in a smart home compared to a traditional home are clearly numerous both from an economic point of view and from a psychophysical point of view but the real challenge, Nowadays, it is to be able to redevelop in a smart key existing buildings or belonging to the historical real estate. The topic of smart building becomes more complex when we talk about existing buildings because the constraints of intervention are many and therefore the decision margins to promote redevelopment actions are significantly reduced. With a view to redesigning existing buildings to make them economically viable, the BIM technology is a particularly effective tool, embracing a philosophy that bears witness to the concept of digitalization of the built environment, Today, the foundation of innovation in the construction industry. The estimation of the costs to be incurred for different improvement scenarios can be conducted through the BIM automatically. This makes it possible to simplify the analysis of economic feasibility in the processes of transformation of a property by orienting more effectively the identification of the best use of the property.

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References

  1. Acampa G, Marino G, Ticali D (2019) Validation of infrastructures through BIM. AIP Conf Proc 2186:160011

    Article  Google Scholar 

  2. Ashworth A (2004) Cost studies of building. Pearson Education Limited, Essex, UK

    Google Scholar 

  3. Azhar S, Khalfan M, Maqsood T (2015) Building information modelling (BIM): now and beyond. Constr Econ Build 12:15–28

    Article  Google Scholar 

  4. Battisti F, Campo O (2019) A methodology for determining the profitability index of real estate initiatives involving public–private partnerships. a case study: the integrated intervention programs in Rome. Sustainability 11:1371

    Google Scholar 

  5. Begić H, Galić M (2021) A systematic review of construction 4.0 in the context of the BIM 4.0 premise. Buildings 11(8):337

    Google Scholar 

  6. Cartlidge D (2009) Quantity surveyor’s pocket book. Butterworth-Heinemann, Oxford, UK

    Book  Google Scholar 

  7. Centre for Digital Built Britain (2018) Supporting BIM in the UK: University of Cambridge

    Google Scholar 

  8. Charef R, Alaka H, Emmitt S (2018) Beyond the third dimension of BIM: a systematic review of literature and assessment of professional views. J Build Eng 19:242–257

    Article  Google Scholar 

  9. De Lange P, Bähre B, Finetti-Imhof C, Klamma R, Koch A, Oppermann L (2017) Socio-technical challenges in the digital gap between building information modeling and industry 4.0. In: Proceedings of the STPIS@ CAiSE, Essen, Germany, 13 June, pp 33–46

    Google Scholar 

  10. Dotzour M, Grissom T, Liu C, Pearson T (1990) Highest and best use: the evolving paradigm. J Real Estate Res 5:17–32

    Article  Google Scholar 

  11. Eastman C, Teicholz P, Sacks R, Liston K (2011) BIM handbook: a guide to building information modeling. John Wiley & Sons, Hoboken, NJ, USA

    Google Scholar 

  12. El Yamani S, Ettarid M, Hajji R (2019) Building information modeling potential for an enhanced real estate valuation approach based on the hedonic method. Wit Trans Built Environ 192:305–316

    Article  Google Scholar 

  13. Forte C (1968) Elementi di Estimo Urbano. Etas Kompass, Milan, Italy

    Google Scholar 

  14. Geltner D, Miller NG, Clayton J, Eichholtz P (2001) Commercial real estate analysis and investments. South-Western Educational Pub: Cincinnati, OH, USA, vol 1, p 642

    Google Scholar 

  15. Hardin B, McCool D (2009) BIM and construction management: proven tools, methods, and workflows. John Wiley & Sons: Hoboken, NJ, USA

    Google Scholar 

  16. Isikdag U, Underwood J (2010) Two design patterns for facilitating building information model-based synchronous collaboration. Autom Constr 19:544–553

    Article  Google Scholar 

  17. Jiang X (2011) Developments in cost estimating and scheduling in BIM technology. Master’s Thesis, Northeastern University, Boston, MA, USA

    Google Scholar 

  18. Kehily D, Underwood J (2017) Embedding life cycle costing in 5D BIM. J Inf Technol Constr 22:145–167

    Google Scholar 

  19. Lu W, Fung A, Peng Y, Liang C, Rowlinson S (2014) Cost-benefit analysis of Building Information Modeling implementation in building projects through demystification of time-effort distribution curves. Build Environ 82:317–327

    Article  Google Scholar 

  20. Ma X, Xiong F, Olawumi TO, Dong N, Chan APC (2018) Conceptual framework and roadmap approach for integrating BIM into lifecycle project management. J Manag Eng 34:05018011

    Article  Google Scholar 

  21. Martinez-Aires M, López-Alonso M, Rojas MM (2018) Building information modeling and safety management: a systematic review. Saf Sci 101:11–18

    Article  Google Scholar 

  22. Marzouk M, Azab S, Metawie M (2018) BIM-based approach for optimizing life cycle costs of sustainable buildings. J Clean Prod 188:217–226

    Article  Google Scholar 

  23. Maskuriy R, Selamat A, Ali KN, Maresova P, Krejcar O (2019) Industry 4.0 for the construction industry—how ready is the industry? Appl. Sci. 9.

    Google Scholar 

  24. Mayouf M, Gerges M, Cox S (2019) Design, technology. 5D BIM: an investigation into the integration of quantity surveyors within the BIM process. J Eng Des Technol 17:537–553

    Google Scholar 

  25. Nour M, Hosny O, Elhakeem A (2012) A BIM based energy and lifecycle cost analysis/optimization approach. Int J Eng Res Appl 2:411–418

    Google Scholar 

  26. Oesterreich TD, Teuteberg F (2016) Understanding the implications of digitization and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry. Comput Ind 83:121–139

    Article  Google Scholar 

  27. Olatunji OA, Sher WD, Ogunsemi DR (2010) The impact of building information modelling on construction cost estimation. In Proceedings of the 18th CIB World Building Congress, Salford, UK, 10–13 May 2010

    Google Scholar 

  28. Olbina S, Elliott JW (2019) Contributing project characteristics and realized benefits of successful BIM implementation: a comparison of complex and simple buildings. Buildings 9:175

    Article  Google Scholar 

  29. Park J (2017) Dynamic multi-dimensional BIM for total construction as-built documentation. Purdue University: West Lafayette, IN, USA

    Google Scholar 

  30. Redmond A, Hore AV, West R (2011) Developing a cloud integrated life cycle costing analysis model through BIM. In Proceedings of the computer knowledge building, Sophia Antipolis, France, 26–28 October 2011

    Google Scholar 

  31. Saeed ZO, Almukhtar A, Abanda H, Tah J (2021) BIM applications in post-conflict contexts: the reconstruction of Mosul City. Buildings 11:351

    Article  Google Scholar 

  32. Shi A, Shirowzhan S, Sepasgozar SM, Kaboli A (2020) 5D BIM applications in quantity surveying: dynamo and 3D printing technologies. Smart Cities Constr 139

    Google Scholar 

  33. Simonotti M (1995) La logica estimativa del valore di trasformazione. Aestimum 33:15–33

    Google Scholar 

  34. Smith P (2014) BIM & the 5D project cost manager. Proc Soc Behav Sci 119:475–484

    Article  Google Scholar 

  35. Soust-Verdaguer B, Llatas C, García-Martínez A (2017) Critical review of bim-based LCA method to buildings. Energy Build 136:110–120

    Article  Google Scholar 

  36. Viklund Tallgren M, Roupé M, Johansson M, Bosch-Sijtsema P (2020) BIM-tool development enhancing collaborative scheduling for pre-construction. J Inf Technol Constr 25:374–397

    Google Scholar 

  37. Wildenauer AA (2020) Critical assessment of the existing definitions of BIM dimensions on the example of Switzerland. Terminology 23:24

    Google Scholar 

  38. Wu S, Wood G, Ginige K, Jong SW (2014) A technical review of BIM based cost estimating in UK quantity surveying practice, standards and tools. J Inf Technol Constr 19:534–562

    Google Scholar 

  39. You Z, Feng L (2020) Integration of industry 4.0 related technologies in construction industry: a framework of cyber-physical system. IEEE Access 8:122908–122922

    Article  Google Scholar 

  40. Yu H, Liu Y (2016) Integrating geographic information system and building information model for real estate valuation. In: Proceedings of the FIG working week 2016, Christchurch, New Zealand, 2–6 May 2016

    Google Scholar 

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Authors and Affiliations

  1. Department of Environmental Engineering, University of Calabria, Rende (CS), Italy

    Francesca Salvo, Manuela De Ruggiero & Daniela Tavano

Authors
  1. Francesca Salvo
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  2. Manuela De Ruggiero
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  3. Daniela Tavano
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Corresponding author

Correspondence to Daniela Tavano .

Editor information

Editors and Affiliations

  1. DIST, Politecnico di Torino, Turin, Italy

    Francesca Abastante

  2. DIST, Politecnico di Torino, Turin, Italy

    Marta Bottero

  3. University of Padova, Padua, Italy

    Chiara D’Alpaos

  4. PR.I.S.MA – Fondazione Compagnia di San Paolo, Turin, Italy

    Luisa Ingaramo

  5. Chief Editor of the Springer SIEV Series, Politecnico di Milano, Milan, Italy

    Alessandra Oppio

  6. DIA, University of Trieste, Trieste, Italy

    Paolo Rosato

  7. DIAM, University of Calabria, Arcavacata di Rende, Italy

    Francesca Salvo

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Salvo, F., De Ruggiero, M., Tavano, D. (2022). Smart Redevelopment of Existing Buildings. Use of BIM in Economic Value Judgments. In: Abastante, F., et al. Urban Regeneration Through Valuation Systems for Innovation. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-12814-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-12814-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-12813-4

  • Online ISBN: 978-3-031-12814-1

  • eBook Packages: EnergyEnergy (R0)

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