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Purpose

Adaptive reuse is a key strategy in the transition towards a circular built environment, offering social, financial, cultural and environmental benefits. The abundance of vacant buildings found in our cities demonstrates that this strategy is not yet used to its maximum potential. A systematic overview and categorisation of the drivers and barriers influencing the adoption of adaptive reuse is necessary and it can contribute to better decision-making.

Design/methodology/approach

A systematic literature review was conducted to identify the drivers and barriers of adaptive reuse. From the initial database of 13,495 publications, 45 were included in the final analysis. A thematic analysis revealed recurring concepts, which were classified into seven categories: regulatory, financial, environmental, cultural, social, building-related and stakeholders-related factors.

Findings

The most significant barriers to adaptive reuse are building codes, the building's physical limitations to adaptation and a lack of skilled workers. The most critical drivers are instead the desire for heritage conservation, the opportunity to revitalise the larger surrounding area, favourable legislations and regulations, and fundings and financial incentives. Despite increasing awareness of the environmental benefits of adaptive reuse, environmental factors are found to be less compelling than cultural and financial factors.

Originality/value

This article provides a systematic synthesis of the drivers and barriers of adaptive reuse and introduces the “stakeholders-related factors” category. This addition highlights how the complexity of adaptive reuse projects is amplified by the involvement of multiple actors with diverse values and priorities. Further research on stakeholder dynamics could offer valuable insights into how these interactions shape adaptive reuse outcomes.

The European building and construction sector is responsible for 34% of energy-related greenhouse gas emissions (European Environment Agency, 2024), 38.4% of waste generation (Eurostat, 2022) and 50% of material extraction (European Commission, 2020). Therefore, it plays a key role in reaching climate neutrality by 2050. The decarbonisation of the building and construction sector is a complex challenge, but it can be tackled holistically by transitioning towards a circular economy.

Circularity in the built environment can be primarily achieved by implementing the well-known R-strategies. Reuse is one of the most desirable R-strategies, and it can be implemented at various scales: from materials and components reuse, to the reuse of entire buildings. Reusing existing buildings should be the first circular strategy to consider (Tarpio et al., 2022), as it allows to retain materials and components in their most useful forms (Gillott et al., 2022) while reducing the environmental footprint of the built environment (Bullen, 2007; Wilkinson et al., 2014).

Adaptive reuse refers to the change of use of an existing building (Wilkinson et al., 2014), meaning the retention of as much of the original structure and fabric as possible while introducing a new use. It is triggered by premature functional obsolescence: the constantly changing market demands and user needs impact the usefulness and effectiveness of buildings, resulting in their declining commercial and operating performance (Bullen and Love, 2010). A possible response to this declining performance, and an alternative to demolition and redevelopment, is the optimisation of the residual utility of existing buildings through adaptive reuse. It is considered a more effective circular strategy compared to using obsolete buildings as material mines for new projects (Conejos et al., 2013; Langston et al., 2008) as it allows buildings to respond to changing requirements, and reduces the need for demolition and new construction, which are associated with higher lifecycle costs (Alba-Rodríguez et al., 2017; Hasik et al., 2019; Nydahl et al., 2022; Tsikos and Poli, 2024). This strategy is regarded as a combination of sustainable development efforts and conservation efforts, being often applied to historical buildings with the goal of pursuing social and cultural benefits such as heritage preservation (Conejos et al., 2016).

Previous studies have considered the factors influencing the implementation of adaptive reuse from the point of view of various stakeholders, such as investors (Fang and Wu, 2025), construction professionals (Aliu et al., 2025), and municipal officers and developers (Sanchaniya et al., 2025). These studies are, however, limited in scale and scope, focusing on either specific case studies or on a limited geographic area. Further, a study by Vafaie et al. (2023) addressed the success factors of the adaptive reuse of heritage buildings. It is not unusual for drivers and success factors to overlap (Ahmad, 2023), as the motivations for starting an adaptive reuse project may be influenced by the awareness of critical conditions required to successfully complete such a project. In the context of the current study, drivers are defined as all those factors that influence or motivate stakeholders in opting for adaptive reuse as an alternative to building demolition or abandonment, whereas success factors enable the successful outcomes of said projects. While success factors have been systematically addressed before (Vafaie et al., 2023), there is a lack of a systematic overview and categorisation of the drivers and barriers of adaptive reuse. The aim of this article is to understand the factors affecting adaptive reuse decisions, thus contributing to better decision-making in practice and paving the way for further research in the decision-making process. Accordingly, this research employs a systematic literature review approach to answer the following question: What are the main drivers and barriers of adaptive reuse?

A systematic literature review was conducted to identify the barriers and drivers of adaptive reuse. The PRISMA reporting guidelines were followed to identify, select, appraise and synthesise relevant studies to ensure a transparent, complete and accurate account of all review stages. The PRISMA statement (Page et al., 2021) consists of a checklist of items and sub-items that should be addressed in a systematic literature review; the following methodology sections follow the steps delineated in the checklist. Each step was reviewed by all authors to mitigate the risk of bias.

A systematic search of two academic databases, Web of Science and Scopus, was conducted to identify relevant studies. The search queries used in this study are divided into three sections: the first section includes terms related to drivers and barriers, the second section is dedicated to adaptive reuse and the third section is used to retrieve data regarding the built environment. These terms were interrelated using Boolean operators, as shown in Figure 1. The search was limited to articles, reviews, conference papers and book chapters published in English between 2000 and 2026.

Figure 1
A diagram illustrating the search terms and focus areas for a study on adaptive reuse in the built environment.The diagram is divided into three main sections labeled focus and search terms. The first section, labeled drivers and barriers, includes search terms such as driver, enabler, incentive, opportunity, stimulus, success factor, solution, possibility, potential, barrier, obstacle, hurdle, threat, and risk. The second section, labeled adaptive reuse, includes search terms such as adaptive reuse, adapt, and convert. The third section, labeled built environment, includes search terms such as building, built environment, and real estate. The sections are connected by AND operators, indicating that the search terms from each section should be combined in the search.

Search term. Source: Authors’ own work

Figure 1
A diagram illustrating the search terms and focus areas for a study on adaptive reuse in the built environment.The diagram is divided into three main sections labeled focus and search terms. The first section, labeled drivers and barriers, includes search terms such as driver, enabler, incentive, opportunity, stimulus, success factor, solution, possibility, potential, barrier, obstacle, hurdle, threat, and risk. The second section, labeled adaptive reuse, includes search terms such as adaptive reuse, adapt, and convert. The third section, labeled built environment, includes search terms such as building, built environment, and real estate. The sections are connected by AND operators, indicating that the search terms from each section should be combined in the search.

Search term. Source: Authors’ own work

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To identify relevant studies for this review, a selection process in three sequential phases was followed: title screening, abstract screening and full-text screening (see Figure 2). A set of inclusion and exclusion criteria (see Table 1) was applied in all three selection phases, leading from an initial database of 13,495 records to a final database of 45 records. The inclusion and exclusion criteria were chosen with the goal of identifying papers dealing with the adaptation of existing buildings. Some papers that did not meet the inclusion criteria and were excluded from the critical analysis still have valuable input to this article and are therefore included in the reference list.

Figure 2
Flowchart of selection process.Flowchart illustrating the selection process with stages including identification, screening, and analysis, showing the number of records at each stage.

Selection process. Source: Authors’ own work

Figure 2
Flowchart of selection process.Flowchart illustrating the selection process with stages including identification, screening, and analysis, showing the number of records at each stage.

Selection process. Source: Authors’ own work

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Table 1

Inclusion and exclusion criteria

InclusionExclusion
FieldBuilt environmentOther fields
SubjectAdaptive reuse, building conversion, building adaptabilityDesign for disassembly, material and component reuse, climate change adaptation, energy efficiency
SCALEBuilding scaleDistrict, neighbourhood, urban scale, infrastructure
Source(s): Authors’ own work

The data analysis process started by identifying the authors, publication years, titles, methodologies and findings of the selected studies. To consider the findings in the appropriate setting, the geographical context of the studies and the subject areas of the journals in which the studies were published have been examined.

An iterative thematic analysis was performed following the guidance provided by Wolfswinkel et al. (2013) in their “Stage 4 – Analyse”. Initially, each paper was thoroughly read and any insights deemed relevant to the study's scope and aim were highlighted. The highlighted excerpts were then re-read to identify any recurring concepts: this is the “open coding” step, where concepts were organised using codes, such as “lack of funding” and “reduced project costs”. Subsequent phases of data exploration and collection enriched and solidified the codes. Through axial coding, connections between codes were highlighted, thus forming larger categories such as “financial factors”. The final step, selective coding, was used to consolidate and refine the previously identified categories.

Throughout all coding steps, the identified categories were regularly compared, related and linked with each other and the studied papers. This activity is known as “comparative analysis” (Wolfswinkel et al., 2013), and its goal is to continuously improve and refine the identified concepts, categories and links among them.

The studies considered for this review are published in a variety of different journals, belonging to seven different subject areas as defined by SCImago Journal and Country Rank: engineering; energy; economics, econometrics and finance; social sciences; arts and humanities; environmental sciences; business, management and accounting. The studies employ different, and in some cases multiple, methodologies. The four most used methodologies are: case study, interview, survey and workshop. Qualitative methods are clearly favoured when the drivers and barriers of adaptive reuse are investigated: indeed, qualitative approaches can facilitate the understanding of complex interactions and the extrapolation of findings to similar situations (Daly et al., 2013). No study conducts a systematic literature review. The studies focus on different geographical contexts, either considering one specific country or multiple countries at a time. Most of the studies focused on the European context, which can be explained by the large number of research projects on adaptive reuse receiving funding under Horizon 2020 (Lanz and Pendlebury, 2022).

The literature review revealed fifteen barriers and twenty-one drivers that were recurrently mentioned in at least four studies (see Table 2). These factors are grouped into seven categories: regulatory, financial, environmental, cultural, social, building-related and stakeholders related. The next sections will go through each category, illustrating the barriers and drivers in each of them. An overview of the factors identified in this systematic literature review and of the studies addressing them is provided in Appendix 1.

Table 2

Factors influencing adaptive reuse, as identified in each study. The codes used to identify each factor refer to it being a barrier (B) or driver (D). Further, each category is identified by a letter: regulatory (R), financial (F), environmental (E), social (S), cultural (C), building-related (B) and stakeholders related (T). Table continues on the next page

RegulatoryFinancialEnvironmentalCulturalSocialBuildingStakeholders
B_R1B_R2B_R3B_R4D_R1B_F1B_F2D_F1D_F2D_F3D_F4B_E1D_E1D_E2D_E3D_E4B_C1D_C1D_C2D_C3D_S1D_S2D_S3B_B1B_B2B_B3B_B4D_B1D_B2D_B3D_B4B_T1B_T2B_T3D_T1D_T2
Aigwi et al. (2022)         xxx      xxx  x       X     
Aigwi et al. (2026) x      x              x        x x x
Aliu et al. (2025)     x  xxx  xxx  xxx                
Baker et al. (2017)  X  X  X        XX X    XXX         
Baker et al. (2021)        X   X     XX                 
Barbaro et al. (2022)                     X        X      
Bullen and Love (2011) XXX  XXXX    XXX XX  X  XX X X X    
Canelas et al. (2022) X   X    X        X          X   X  
Conejos et al. (2016)  X X       X           XX      X    
De Silva et al. (2019)  XX   X    X XX   X    XX  X   X x  
De Souza Rocha et al. (2024) XX  X                  XX      XX   
Eray et al. (2019)                                 X   
Fang and Wu (2025)  X X        X    XX   X    X   X    
Gillott et al. (2022)   X X X XX  XX X       XX      x XX 
Gravagnuolo et al. (2025) X  X             XX        X        
Hamida et al. (2023b) X   XX                 XX      X XX 
Heath (2001)  xx Xx X  X         XX  X X XX      
Ikiz Kaya et al. (2021a)     X  X         X                  
Ikiz Kaya et al. (2021b)     X  X X   XXX X    X       X    X
Ikiz Kaya et al. (2025)  xx XX X        X               X   
Karabeyeser Bakan et al. (2025)    X       X     X X                
Kyrö et al. (2024)  X XX X X    XXX XXX   XXX     X  X 
Langston et al. (2008)  X      X    XX  XX     X   X       
Langston (2011)  X    X XX XXXX  XX  X              
Mohamed and Alauddin (2023)  xx      x       x      xx    x     
Nakanishi et al. (2020)                     XXx      X      
Oke et al. (2025)                        x x     xx   
Olivadese et al. (2017) XX  X                        X      
Owojori et al. (2024)             XX   XX   X             
Philokyprou (2014)    X             XXX                
Pintossi et al. (2021a) x x  xx                        xx   
Pintossi et al. (2021b)                 x      x        xx  
Remøy and Van Der Voordt (2014)  xx   x            x   xxxx  x x  x 
Remøy and Van Der Voordt (2014)  XXx    X X  XXX  X XX XXXX XX   X  
Remøy and Wilkinson (2012)    xX    X        XX X      XX      
Remøy and Wilkinson (2017)  xx    X  X    X    XX XX XXXX X    
Remøy et al. (2011)  XX                     X X         
Saifi et al. (2025)      X XX        X   XX X           
Sanchaniya et al. (2025)  xx   xx       x      x  xx     x  x
Savoie et al. (2025)  x  x              x     x    xx  xx
Tan et al. (2018)  x    x x    x x     x    xx        
Volzone et al. (2025) xx x x           xx   x            x
Vuscan and Muntean (2025) XX    XXX    XX  X XXX  XXX  X    X 
Wilkinson et al. (2014)  x x  xxxx xxxxx x   x  xxx   x     
Zeadat (2024)    X  X         X              XX   
Total102312111412614129410613109320161061191118111065115147765
Source(s): Authors’ own work

Regulatory factors play a key role in adaptive reuse projects: they include legislations, building codes, zoning and planning regulations, and the listed status of a building.

Inadequate or rigid legislations are recognised as a legal barrier to adaptive reuse, both when they actively challenge adaptation and when their lack of clarity regarding circularity inhibits the implementation of adaptive reuse (Aigwi et al., 2026; De Souza Rocha et al., 2024; Gravagnuolo et al., 2025) and of circular strategies in general (Hamida et al., 2023b). The inconsistent application of regulations also makes adaptive reuse an unappealing solution (Bullen and Love, 2011). On the other hand, favourable legislations are seen as an important driver of adaptive reuse: new and flexible regulation frameworks are fundamental to encourage the uptake of adaptive reuse practices (Aliu et al., 2025; Canelas et al., 2022; De Souza Rocha et al., 2024; Kyrö et al., 2024), and can drive the implementation of circular strategies when the industry alone is not able to (Heath, 2001; Olivadese et al., 2017).

Building codes and zoning plans pose a significant legal obstacle to adaptive reuse. Restrictive zoning plans may impede change in building use (Pintossi et al., 2021; Remøy and Van Der Voordt, 2014); allowing for changes in the zoning plan, on the other hand, would increase the adaptive potential of buildings (Remøy et al., 2011). In most countries, building codes differentiate between building types, and have different requirements for fire safety, disability accessibility, daylight levels and energy efficiency depending on the building function (De Souza Rocha et al., 2024; Remøy and Van Der Voordt, 2014; Remøy and Wilkinson, 2017). Older buildings are often not on par with these requirements (Baker et al., 2017; Langston et al., 2008; Remøy and Van Der Voordt, 2014) and may present the added challenge of hazardous materials (Savoie et al., 2025); undertaking the necessary alteration to meet the required standards can lead to high costs that make adaptation financially undesirable (Bullen and Love, 2011). When it comes to heritage buildings, the necessity to meet modern standards may clash with the desire to keep the original aesthetics and atmosphere of the building (Conejos et al., 2016; Kyrö et al., 2024).

The listed or non-listed status of a building is also considered as an important regulatory barrier: indeed, listed buildings may be subject to restrictive conservation rules that challenge adaptation and limit the amount of changes that the building can go through (Conejos et al., 2016; Fang and Wu, 2025; Gravagnuolo et al., 2025; Karabeyeser Bakan et al., 2025; Kyrö et al., 2024), while non-listed building, such as many industrial buildings, are not protected against demolition (Wilkinson et al., 2014).

From an economic perspective, funding and subsidies play a vital role in promoting adaptive reuse as a more desirable option. The lack of incentives makes adaptive reuse unappealing (Bullen and Love, 2011; Ikiz Kaya et al., 2025; Pintossi et al., 2021), while the financial support by governments and public organisations is key, and can also have a snowballing positive effect on surrounding properties (Bullen and Love, 2011). National or international subsidies, public funding and market-based incentives are considered to be an extremely important driver of adaptive reuse (Baker et al., 2017; Ikiz Kaya et al., 2021b, 2025; Remøy and Wilkinson, 2017; Vuscan and Muntean, 2025), and they are crucial both in the case of heritage buildings (Saifi et al., 2025) and of structures that are considered less desirable for adaptation such as offices and commercial buildings (Vuscan and Muntean, 2025).

Several studies (Bullen and Love, 2011; Gillott et al., 2022; Kyrö et al., 2024; Langston, 2011; Langston et al., 2008; Remøy and Van Der Voordt, 2014; Saifi et al., 2025; Vuscan and Muntean, 2025) agree that the reduced project costs associated with adaptive reuse in comparison to new build, favour the former. Adaptive reuse is therefore recognised as a quicker and more cost-effective alternative, with the added benefit of not only preserving, but increasing the value of the reused asset (Canelas et al., 2022; Gillott et al., 2022; Remøy and Wilkinson, 2012) when the new proposed function delivers a higher return on investment compared to new build (Langston, 2011). Still, the possibility of increasing the asset value at a reduced cost clashes with the uncertainties tied to the case-by-case variability characterising adaptive reuse projects (Gillott et al., 2022; Kyrö et al., 2024; Langston, 2011; Vuscan and Muntean, 2025; Zeadat, 2024). For this reason, investment uncertainty and commercial risk are considered as key barriers to adaptive reuse.

The final financial driving factor emerging from the literature review is the rent gap between old and new function. While this topic is only addressed by four studies, three of them (Heath, 2001; Remøy and Van Der Voordt, 2014; Remøy and Wilkinson, 2017) focus on office-to-housing conversion, clarifying that this driver plays a crucial role in this specific type of adaptation.

The environmental sustainability of adaptive reuse compared to new build can motivate building adaptation. Avoiding the generation of waste and the release of embodied carbon emissions that would result from demolition is recognised as a key environmental benefit of adaptive reuse (Aliu et al., 2025; Bullen and Love, 2011; De Silva et al., 2019; Langston et al., 2008; Remøy and Van Der Voordt, 2014). Building adaptation also implies a smaller consumption of materials, energy and transport during construction compared to new build (Bullen and Love, 2011; Langston, 2011; Remøy and Van Der Voordt, 2014), therefore causing less environmental pollution (De Silva et al., 2019; Owojori et al., 2024) and limiting the construction costs (Langston et al., 2008).

The physical characteristics of older buildings can pose a challenge to meeting modern sustainability criteria (De Silva et al., 2019): this can pose a barrier to adaptive reuse when the costs and the level of intervention required are too high. On top of this, when the building's form or its heritage status prevents the achievement of a high energy rating, it can perform poorly in the current rating systems (Conejos et al., 2016). But it also offers an opportunity to address this “environmental gap” by implementing energy-efficiency measures during the adaptation process (Bullen and Love, 2011; Gillott et al., 2022; Remøy and Van Der Voordt, 2014). However, the potential to improve an existing building's energy efficiency is dependent on the building's physical characteristics and on the proposed new function (Baker et al., 2021; Conejos et al., 2016; Karabeyeser Bakan et al., 2025; Langston, 2011).

A final environmental driver emerging from this research is the opportunity offered by adaptive reuse to effectively answer to changing demands while avoiding new construction, thus limiting urban sprawl and land consumption (Fang and Wu, 2025; Gillott et al., 2022; Langston, 2011). This factor is also related to the opportunity of using existing infrastructure (Fang and Wu, 2025), resulting in higher urban density and limiting the biodiversity loss and soil erosion caused by new developments (Owojori et al., 2024).

Cultural drivers are crucial to ensure the successful adaptation of heritage buildings, but they also play an important role in motivating the reuse of non-heritage buildings.

The desire for heritage conservation often drives the decision to reuse vacant buildings (Baker et al., 2017; Fang and Wu, 2025; Langston, 2011; Langston et al., 2008; Saifi et al., 2025; Vuscan and Muntean, 2025), as they are considered vital contributors to the culture and history of a community (Langston et al., 2008; Owojori et al., 2024). Heritage conservation not only ensures the building's architectural integrity, which is at risk in the case of prolonged vacancy (Philokyprou, 2014), but it can also decrease the negative social impact of poorly maintained or derelict buildings (De Silva et al., 2019; Langston et al., 2008; Remøy and Wilkinson, 2012). The adaptive reuse of a single significant building can often also lead to the revitalisation of the surrounding area (Aliu et al., 2025; Fang and Wu, 2025; Gravagnuolo et al., 2025; Owojori et al., 2024; Philokyprou, 2014; Remøy and Van Der Voordt, 2014) and contribute to place-making thanks to their distinctive character (Baker et al., 2021). This revitalisation through preservation (Ikiz Kaya et al., 2021b; Langston, 2011; Volzone et al., 2025) is largely seen in a positive light, with studies praising the arrival of different social groups in previously run-down neighbourhoods (Philokyprou, 2014) and the reduction in crimes and unsocial behaviours resulting from higher living standards (Langston et al., 2008). The discussion of potential negative impacts of revitalisation, such as gentrification, is absent from the papers analysed in this study.

Buildings with bold aesthetic features, such as industrial buildings, are often selected for adaptation (Karabeyeser Bakan et al., 2025; Remøy and Wilkinson, 2012) as they attract developers and designers looking for unique spaces (Vuscan and Muntean, 2025). The desire to preserve buildings of symbolic significance and to retain their character has also emerged as an important driver of adaptive reuse (Aliu et al., 2025; Philokyprou, 2014).

One cultural barrier was also highlighted, namely the lack of awareness of heritage and cultural values (Ikiz Kaya et al., 2025; Zeadat, 2024). Cultural and heritage values are intangible, and while it has been shown that they can be important drivers for the adaptation of buildings (Baker et al., 2017; Fang and Wu, 2025; Langston, 2011; Langston et al., 2008; Saifi et al., 2025; Vuscan and Muntean, 2025), they risk being seen as less important than other factors, such as the technical building features that can lead to successful adaptation (Baker et al., 2017).

Social factors, such as changing demographics and user demands, emerge as key drivers specifically for the adaptation of non-heritage buildings. Demographic change, both in terms of population growth (Vuscan and Muntean, 2025) and decline (Barbaro et al., 2022; Nakanishi et al., 2020), combined with changes in household composition (Heath, 2001; Remøy and Van Der Voordt, 2014; Remøy and Wilkinson, 2017), is highlighted as catalysts for adaptive reuse. Demographic changes often come together with changing user demands, such as a renewed interest in city-centre living (Remøy and Van Der Voordt, 2014; Remøy and Wilkinson, 2017) and the desire to live closer to places of work (Heath, 2001), making certain building function redundant and creating the demand for new functions. Changing user attitudes may also stem from periods of crisis (Saifi et al., 2025), resulting in urgent demands for housing and healthcare. Adaptive reuse, being a quicker and more cost-effective alternative to traditional construction projects, can provide an answer to these demands.

Tackling social exclusion and promoting a lively community is seen as another social driver: the preservation of heritage buildings helps maintaining the community's cultural identity and memory (Aigwi et al., 2026; Fang and Wu, 2025; Saifi et al., 2025), while integrating new economic and educational enterprises in the adapted buildings can enhance the vitality and involvement of a community (Fang and Wu, 2025; Ikiz Kaya et al., 2021b; Nakanishi et al., 2020; Owojori et al., 2024; Saifi et al., 2025).

While the previous sections focused on external factors, multiple building-related aspects affecting the feasibility of adaptive reuse emerged from this research as well. A reoccurring theme relates to the lack of data about the building (Conejos et al., 2016; De Silva et al., 2019; De Souza Rocha et al., 2024; Remøy and Van Der Voordt, 2014): unavailable, incomplete or inaccurate original construction drawings can pose major risks to the building's adaptation (Kyrö et al., 2024). This results in the need for a thorough inspection of the building (Remøy and Wilkinson, 2017), which can be costly and time consuming (Gillott et al., 2022), to verify its material and structural quality (Gillott et al., 2022; Hamida et al., 2023b; Remøy and Wilkinson, 2017) and assess its adaptation potential.

Poor conditions and building's physical characteristics (Bullen and Love, 2011; Conejos et al., 2016; De Silva et al., 2019; Heath, 2001; Kyrö et al., 2024) undermine the adaptation potential: older buildings may be deteriorated to a point where the levels of maintenance and repair needed to suitably reuse the buildings are not economically viable (Baker et al., 2017; Bullen and Love, 2011). The building's layout and floor height may not be fitting for the new building function (De Souza Rocha et al., 2024; Remøy and Wilkinson, 2017), or the layout may be unsuitable for spatial reconfiguration (Hamida et al., 2023b; Vuscan and Muntean, 2025); unsatisfactory structural characteristics may also pose some limitations to adaptation (Gillott et al., 2022; Langston et al., 2008; Remøy and Van Der Voordt, 2014). On the other hand, buildings with strong structural integrity (Savoie et al., 2025) and that present a good degree of flexibility (Ikiz Kaya et al., 2021b) are prioritised for adaptation. This flexibility depends on the building's physical configuration, for example in terms of floor plans (Wilkinson et al., 2014) and façade (Aigwi et al., 2022),

The building's location may act as a critical barrier for its adaptation, as not all locations are suitable for every building function (Heath, 2001). For example, residential buildings benefit from easy access to public transport, amenities and services (Remøy and Wilkinson, 2017; Vuscan and Muntean, 2025), while locations with high levels of noise and poor air quality are deemed unsuitable for residential conversion (Remøy and Van Der Voordt, 2014; Vuscan and Muntean, 2025). The typology of the neighbouring buildings can also limit the adaptation potential. Indeed, industrial locations have been found undesirable for residential adaptation: the absence of other houses nearby can hinder adaptive reuse (Remøy and Van Der Voordt, 2014), as building owners may be reluctant to be the first ones to convert their buildings before similar non-industrial functions emerge in the neighbourhood (Tan et al., 2018).

The opportunity to ensure a longer functional lifespan, and the associated financial, social and environmental benefits, is recognised as a driver of adaptive reuse (Bullen and Love, 2011; De Silva et al., 2019; Fang and Wu, 2025; Gravagnuolo et al., 2025), though correctly estimating the residual service life of a building is problematic (Bullen and Love, 2011; Langston et al., 2008) Other studies highlight on the opportunity brought by functional obsolescence (Heath, 2001; Remøy and Van Der Voordt, 2014; Remøy and Wilkinson, 2017, 2012) to replace a redundant building function. Demographic change (Barbaro et al., 2022; Nakanishi et al., 2020; Vuscan and Muntean, 2025) and changing user demands (Remøy and Wilkinson, 2012, 2017; Vuscan and Muntean, 2025) result in vacant buildings, and prolonged vacancy erodes the buildings' value (Canelas et al., 2022). This can be an incentive for adapting vacant buildings and thus generating new income, increasing the financial feasibility of the project (Remøy and Van Der Voordt, 2014).

The final factors affecting adaptive reuse relate to the stakeholders involved in such projects. Firstly, their relative novelty means that tradesmen often lack the necessary skills and technical expertise (Bullen and Love, 2011; Conejos et al., 2016; De Silva et al., 2019; De Souza Rocha et al., 2024; Fang and Wu, 2025; Remøy and Wilkinson, 2017) to tackle the complex solutions associated with building adaptation (Gillott et al., 2022; Hamida et al., 2023b; Kyrö et al., 2024; Zeadat, 2024). Coordination challenges (Eray et al., 2019; Zeadat, 2024) and poor communication (De Souza Rocha et al., 2024; Ikiz Kaya et al., 2025) between stakeholders are also highlighted as barriers to successful adaptive reuse projects.

The aversion to adaptive reuse, both at the corporate and at the individual level, also emerged as an obstacle (Canelas et al., 2022; De Silva et al., 2019). The owners' reluctance to adapt their buildings (Heath, 2001), the stakeholders' tendency to distrust innovative solutions and to prefer traditional business models (Hamida et al., 2023b), and the construction industry's aversion to change (Gillott et al., 2022) can all be recognised as obstacles for adaptive reuse.

On the other hand, having a knowledgeable and collaborative team is of critical importance: shared ambitions and goals (Kyrö et al., 2024), a knowledgeable team (Gillott et al., 2022) and a solid interdisciplinary collaboration between stakeholders (Hamida et al., 2023b; Vuscan and Muntean, 2025) are essential to realise the full potential of adaptive reuse. Moreover, non-professional stakeholders should not be forgotten in adaptive reuse projects: involving the local community and residents in the decision-making process fosters inclusivity and a sense of ownership of the project (Ikiz Kaya et al., 2021b; Savoie et al., 2025; Volzone et al., 2025), contributing to a successful building adaptation.

This study revealed that the barriers to adaptive reuse most mentioned in the literature are building codes (23 out of 45 publications), the building's physical limitations (18/45) to adaptation and a lack of skilled workers (15/45). Counteracting these barriers are some critical drivers, of which the most commonly addressed are the desire for heritage conservation (20 out of 45 publications), the opportunity to revitalise the larger surrounding area (16/45), favourable legislations and regulations (14/45), and funding and financial incentives (14/45). Clearly, some of these factors act more on a conceptual level (such as the desire for heritage conservation) while others are more operational (such as compatibility with building codes). This same distinction between conceptual and operational factors is employed by a previous study (Vafaie et al., 2023), which considers the success factors of heritage adaptive reuse projects: here, some factors defined as “drivers” in the present studies are instead presented as “success factors”. Conceptual factors can be understood to be more intangible and qualitative in nature, while “operational” factors are tangible and quantitative. Thus, the path that leads to adaptive reuse decisions is affected by factors that act on different levels, making it hard to compare the benefits and drawbacks of building adaptation, and increasing the complexity of such projects.

An important insight emerging from this study is that heritage and cultural drivers are typically stronger than environmental ones (Baker et al., 2021; Gillott et al., 2022; Gravagnuolo et al., 2025; Ikiz Kaya et al., 2021a; Vuscan and Muntean, 2025). The limited emphasis on the environmental aspects of adaptive reuse is particularly apparent in the case of heritage buildings, where conservation is the prime concern and the importance of environmental performance is often not recognised (Yung and Chan, 2012). Economic considerations, in the form of return on capital investment and increasing asset value, are also favoured over environmental concerns (Gillott et al., 2022; Remøy and Wilkinson, 2017). This misalignment between the awareness of the potential of adaptive reuse to decrease the carbon footprint of construction activities (Aliu et al., 2025) and the relative weakness of environmental drivers can be solved through regulatory interventions, for example in the form of tax incentives (Baker et al., 2021) and policies demanding a circular approach to construction projects (De Souza Rocha et al., 2024).

The primary contribution of this study is the comprehensive identification and categorisation of the drivers and barriers of adaptive reuse as described in the existing literature. Despite the increasing interest in adaptive reuse, which is reflected in the growing number of papers on this topic (Aigwi et al., 2023; Hamida et al., 2023a; Vafaie et al., 2023; Van Laar et al., 2024), and the role that this strategy can play in the transition towards a circular built environment, no literature review currently exists that systematically examines the factors working in favour, or against, building adaptation. Therefore, this study aimed to provide a comprehensive overview of these drivers and barriers, and to identify opportunities for future research.

A total of fifteen barriers and twenty-one drivers emerged from the systematic literature review. These were classified into seven categories: (1) regulatory, (2) financial, (3) environmental, (4) cultural, (5) social, (6) building-related and (7) stakeholders-related. Stakeholders-related factors as a category influencing adaptive reuse were not previously separated. The introduction of this new class of factors influencing adaptive reuse outcomes reflects how the inherent complexity of adaptive reuse projects is magnified by the involvement of many stakeholders, each with different ambitions and priorities (Aigwi et al., 2019; Arfa et al., 2024). Indeed, different actors hold different beliefs and opinions (Mısırlısoy and Günçe, 2016), and these influence their views on the barriers and drivers of adaptive reuse. Further research on this topic, adopting a stakeholders perspective, could offer valuable insights regarding how the divergent priorities held by different stakeholders involved in the decision-making process shape the outcomes of adaptive reuse projects.

Moreover, despite the growing awareness of the environmental benefits of adaptive reuse, environmental factors are found to be less compelling than both cultural and financial ones. Therefore, more research on the environmental impact of adaptive reuse would be beneficial to strengthen the environmental argument for building adaptation.

The views and opinions expressed are those of the authors and do not necessarily reflect the official position of the European Union. Neither the European Union nor any person acting on its behalf may be held responsible for the use which may be made of the information contained therein.

The supplementary material for this article can be found online.

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