Abstract
This research proposes an application of a MultiCriteria Decision Analysis (MCDA) in the adaptive reuse framework, which is able to structure the complex decision process required for the effective reuse of an historic district. Nowadays, many cities are facing an economic, financial, social and urban decline. This is particularly true when thinking about historic districts, which are usually characterized by high unique cultural values but, at the same time, show difficult characteristics in terms of comfort and security. Accordingly, the planning rules to be applied to the historic districts need to be re-written overcoming the traditional logics. The proposed adaptive reuse framework deals with the application of the Macbeth method. To properly test, develop and illustrate the framework we conducted an experimental validation through a case study: the urban regeneration of an historical district in Biella (Italy) starting from the adaptive reuse of an historic building.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abastante F (2016) Multicriteria decision methodologies supporting decision processes: empirical examples. Geam-Geoingegneria Ambientale E Mineraria-Geam-Geoengineering Environment Mining 149:5–18
Abastante F, Lami IM (2012) Quality function deployment (QFD) and analytic network process (ANP): an application to analyse a cohousing intervention. J Appl Oper Res 4(1):14–27
Abastante F, Lami IM (2012) A complex Analytic Network Process (ANP) network for analyzing Corridor24 alternative development strategies, Communications, Computing and Control Applications (CCCA), 2012 2nd International Conference on; Marseille; France; 6/8 December 2012; Code 95662 pp. 17–24
Abastante F, Lami IM (2013) An analytical model to evaluate a large scale urban design competition. GEAM, Geoingegneria Ambientale e Mineraria 139(2):27–36
Abastante F, Lami IM (2014) Decision making for urban solid waste treatment in the context of territorial conflict: can the Analytic Network Process help? Land Use Policy 41:11–20
Abastante F, Bottero M, Greco S, Lami IM (2012) A Dominance-based rough set approach model for selecting the location for a municipal solid waste plant. Geoingegneria Ambientale e Mineraria 3(137):43–54
Abastante F, Lami IM, Lombardi P (2017) An integrated participative spatial decision support system for smart energy urban scenarios: a financial and economic approach. Buildings 7(4):103
Abastante F, Corrente S, Greco S, Ishizaka A, Lami IM (2018) Choice architecture for architecture choices: evaluating social housing initiatives putting together a parsimonious AHP methodology and the Choquet integral. Land Use Policy 78:748–762
Abastante F, Corrente S, Greco S, Ishizaka A, Lami IM (2019) A new parsimonious AHP methodology: assigning priorities to many objects by comparing pairwise few reference objects. Expert Syst Appl 127(2019):109–120
Agenzia Territorio Locale Biella, Available online at: www.atl.biella.it. Accessed on 13 Sept 2018
Bana e Costa CA, Vansnick JC (1997) The MACBETH approach: basic ideas. In: Proceedings of the international conference on methods and applications of multicriteria decision making, pp 86–88
Bana e Costa CA, Correa EC, De Corte JM, Vansnick JC (2002) Facilitating bid evaluation in public call for tenders: a socio-technical approach. Omega 30(3):227–242
Bana e Costa CA, De Corte JM, Vansnick JC (2010) Macbeth: measuring attractiveness by a categorical based evaluation technique. In: Cochran JJ (ed) Wiley encyclopedia of operations research and management science. Wiley Online Library, Hoboken
Banister D (2008) The sustainable mobility paradigm. Transp Policy 15(2):73–80
Baratta AFL, Fanucci F, Gabriele S, Metta A, Montuori L, Palmieri V (2014) Cohousing. Programmi per la riqualificazione del patrimonio esistente, Università degli Studi Roma tre, Dipartimento di Architettura, Edizioni ETS, Pisa
Chiodelli F, Baglione V (2014) Living together privately: for a cautious reading of cohousing. Urban Res Pract 7(1):20–34
Cuadrado MR, Gutiérrez Fernández M (2013) Methodology to select the best business game in higher education. Am J Ind Bus Manag 3(7):589–594
Dewiyana E, Ibrahim N, Hidayah HN (2016) The green aspects of adaptive reuse of hotel Penaga. Procedia—Soc Behav Sci 222:631–643
Douglas J (2006) Building adaptation, 2nd edn. Butterworth-Heinemann
Douhib D (2014) An extension of MACBETH method for fuzzy environment to analyse alternatives in reverse logistics for automobile tire wastes. Omega 42(1):25–32
Dyer R, Forman E (1992) Group decision support with the analytic hierarchy process. Decis Support Syst 8(2):99–124
Dyson K, Matthews J, Love PED (2016) Critical success factors of adapting heritage buildings: an exploratory study. Built Environ Project Asset Manag 6(1):44–57
Elefante C (2007) The greenest building is… one that is already built. Forum J. 21(4):26. National Trust for Historic Preservation
Fasolo B, Bana e Costa CA (2014) Tailoring value elicitation to decision makers’ numeracy and fluency: expressing value judgments in numbers or words. Omega 44:83–90
Figueira J, Greco S, Ehrgott M (2005) Multiple criteria decision analysis: state of the art surveys. Springer, Boston
Frenette CD, Beauregard R, Abi-Zeid I, Derome D, Salenikovich A (2009) Multicriteria decision analysis applied to the design of light-frame wood wall assem-blies. J Build Perform Simul 3(1):33–52
Geraedts RP, van der Voordt T, Remøy H (2017) Conversion potential assessment tools. In: Remøy H, Wilkinson S (eds) Building resilience in urban settlements through sustainable change of use. Wiley-Blackwell
Günçea K, Mısırlısoya D (2015) Questioning the adaptive reuse of industrial heritage and its interventions in the context of sustainability. Sociology 5(9):718–727
Housing Lab (2018) Available online at: http://www.housinglab.it/hlab/. Accessed on 13 Sept 2018
ISTAT Annual Report (2016) 299. ISBN: 978-88-458-1901-8
ISTAT Annual Report (2017) 266. ISBN: 978-88-458-1927-8
Lami IM (2019) The context of urban renewals as a “super-wicked” problem. Smart Innov Syst Technol 100:249–255
Lami IM, Abastante F (2017) Social Housing evaluation procedures: literature review and steps forward. Geam-Geoingegneria Ambientale E Mineraria-Geam-Geoengineering Environment and Mining 150:15–28
Lietaert M (2010) Cohousing’s relevance to degrowth theories. J Clean Prod 18:576–580
Marques M, Neves-Silva R (2015) Decision support for energy savings and emissions trading in industry. J Clean Prod 88:105–115
McKinsey Global Institute Report (2019) Available at www.mckinsey.com/featured-insights/urbanization/urban-world-meeting-the-demographic-challenge-in-cities. Accessed on Jan 2019
M-Macbeth (2018) Available online at: www.m-macbeth.com. Accessed on June 2018
Németh J, Langhorst J (2013) Rethinking urban transformation: temporary uses for vacant land. Cities 40:143–150
Robiglio M (2016) The adaptive reuse toolkit. how cities can turn their industrial legacy into infrastructure for innovation and growth. Urban and regional Policy Paper, p 38
Tavella E, Lami IM (2018) Negotiation perspectives and values through soft OR in the context of urban renewal. J Oper Res Soc 1–26 (in press)
The Guardian, Available at www.theguardian.com/cities/gallery/2016/nov/02/global-population-decline-cities-mapped. Accessed on Jan 2019
Young EHK, Chan EHW (2012) Implementation challenges to the adaptive reuse of heritage buildings: towards the goals of sustainable, low carbon cities. Habitat Int 36(3):352–361
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Abastante, F., Lami, I.M., Mecca, B. (2020). How to Revitalise a Historic District: A Stakeholders-Oriented Assessment Framework of Adaptive Reuse. In: Mondini, G., Oppio, A., Stanghellini, S., Bottero, M., Abastante, F. (eds) Values and Functions for Future Cities. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-23786-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-23786-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23784-4
Online ISBN: 978-3-030-23786-8
eBook Packages: EnergyEnergy (R0)