2019
DOI: 10.1016/j.scs.2019.101547
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A performance-based framework to prioritise underutilised historical buildings for adaptive reuse interventions in New Zealand

Abstract: While the efficacy of salvaging underutilised historical buildings to promote sustainable and resilient provincial urban areas in New Zealand has been identified from past studies, there is still an absence of a performancebased framework to rank optimal historical building alternatives for adaptive reuse interventions. This paper focuses on evaluating a performance-based Multiple Criteria Decision Assessment (MCDA) methodology to prioritise underutilised historical buildings for adaptive reuse intervention in… Show more

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Cited by 52 publications
(65 citation statements)
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“…Many studies have been published based on the application of this type of technique in very varied fields that differ greatly from each other. Its use for studying industrial buildings is especially noteworthy [25,26] in the framework of this study, as well as its more recent use in the field of cultural heritage in general [11,21,[27][28][29][30] and industrial heritage in particular [3,19,31,32], and in guiding the process of reuse of heritage buildings [3,31,33]. All of these adaptations of multicriteria techniques show the interest and potential of these techniques for developing tools to manage industrial heritage assets.…”
Section: Introductionmentioning
confidence: 86%
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“…Many studies have been published based on the application of this type of technique in very varied fields that differ greatly from each other. Its use for studying industrial buildings is especially noteworthy [25,26] in the framework of this study, as well as its more recent use in the field of cultural heritage in general [11,21,[27][28][29][30] and industrial heritage in particular [3,19,31,32], and in guiding the process of reuse of heritage buildings [3,31,33]. All of these adaptations of multicriteria techniques show the interest and potential of these techniques for developing tools to manage industrial heritage assets.…”
Section: Introductionmentioning
confidence: 86%
“…However, the two criteria structures are connected: the cultural values that the first one identifies in parts of the site can affect its scope for adaptation to the uses considered, making adaptation of the associated architectural aspects desirable or undesirable [10,19]. Unlike other works in which multicriteria decision making techniques are applied to guide the reuse of heritage assets [3,30], the proposed Next, and again in both structures, there is a level of criteria that evaluates the presence of each characteristic from the previous level in the asset under analysis. Consequently, only characteristics actually found in the analyzed asset will have an effect, and characteristics that are not observed in the asset are rejected from the evaluation.…”
Section: Multicriteria Methodologymentioning
confidence: 99%
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“…Another specific problem faced with multi-criteria techniques relates to the evaluation of the priority of the intervention between several buildings, with reference to both restoration and/or requalification [29][30][31][32] and seismic improvement interventions [33]. With regard to ecclesiastical buildings, Sangiorgio et al [34] used AHP analysis to define an exposure index linked to the artistic and architectural value, to be integrated in the vulnerability assessment.…”
Section: Applications Of Multi-criteria Analysis To Interventions On mentioning
confidence: 99%
“…The intervention may also be further subject to limitations by the building regulations in force at the municipal level or by restrictions imposed by specific protection bodies. For this reason, it can be seen that it is not possible to identify a univocal way of operating that can be applied every time we find ourselves having to intervene on an abandoned cultural building [15,16]. Every single intervention needs an approach aimed at providing an optimal solution case by case, regardless of a careful analysis of the building, the surrounding context, and the actors involved in participating in the decision-making process.…”
Section: Introductionmentioning
confidence: 99%