Brian van Laar
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11 records found
1
Supporting organizational decision-making in building adaptation
A scenario-based multi-criteria analysis framework
This study introduces an integrated decision-support framework to aid early-stage planning for building adaptation. It aims to support structured decision-making and priority-setting within organizations by combining scenario development, stakeholder evaluation and AI-enhanced communication.
Design/methodology/approach
The framework integrates cross-impact balance (CIB) analysis, analytic hierarchy process (AHP), Fuzzy-TOPSIS and generative AI techniques for scenario communication and visualization. It was applied within a Paris-based social housing association through participatory workshops with internal stakeholders, including architects, sustainability officers and project managers.
Findings
The integrated framework produced 21 internally consistent scenarios, prioritized them through stakeholder-weighted objectives and identified high-performing adaptation pathways. Results revealed that strong CIB-based scenario filtering substantially conditioned downstream MCDA behaviour, producing relatively robust but convergent ranking outcomes across structurally distinct scenarios. AI-generated narratives and visuals further supported communication of complex trade-offs and exploratory planning within the organizational context.
Research limitations/implications
Application was limited to a single case and stakeholder group. Future research should test the method in broader multi-actor settings, incorporate participant validation and explore automation of CIB construction and weighting to improve scalability and reduce resource demands.
Practical implications
The approach helps decision-makers co-develop and compare building adaptation pathways aligned with organizational goals. Its modular design supports integration into asset management and planning systems.
Originality/value
This is the first study to combine CIB-based scenario planning with MCDA for building adaptation, enhanced with AI-supported scenario communication. Beyond methodological integration, the study contributes new insights into how upstream scenario-space conditioning influences downstream ranking behaviour, evaluative convergence and discriminatory capacity within exploratory decision-support systems. ...
This study introduces an integrated decision-support framework to aid early-stage planning for building adaptation. It aims to support structured decision-making and priority-setting within organizations by combining scenario development, stakeholder evaluation and AI-enhanced communication.
Design/methodology/approach
The framework integrates cross-impact balance (CIB) analysis, analytic hierarchy process (AHP), Fuzzy-TOPSIS and generative AI techniques for scenario communication and visualization. It was applied within a Paris-based social housing association through participatory workshops with internal stakeholders, including architects, sustainability officers and project managers.
Findings
The integrated framework produced 21 internally consistent scenarios, prioritized them through stakeholder-weighted objectives and identified high-performing adaptation pathways. Results revealed that strong CIB-based scenario filtering substantially conditioned downstream MCDA behaviour, producing relatively robust but convergent ranking outcomes across structurally distinct scenarios. AI-generated narratives and visuals further supported communication of complex trade-offs and exploratory planning within the organizational context.
Research limitations/implications
Application was limited to a single case and stakeholder group. Future research should test the method in broader multi-actor settings, incorporate participant validation and explore automation of CIB construction and weighting to improve scalability and reduce resource demands.
Practical implications
The approach helps decision-makers co-develop and compare building adaptation pathways aligned with organizational goals. Its modular design supports integration into asset management and planning systems.
Originality/value
This is the first study to combine CIB-based scenario planning with MCDA for building adaptation, enhanced with AI-supported scenario communication. Beyond methodological integration, the study contributes new insights into how upstream scenario-space conditioning influences downstream ranking behaviour, evaluative convergence and discriminatory capacity within exploratory decision-support systems.
Reusing for tomorrow
Essential prerequisites for circular and adaptable design in building reuse projects
Towards desirable futures for the circular adaptive reuse of buildings
A participatory approach
Making Circular Strategies Work
Advancing an Adaptable Building Framework through Action Design Research
Methods and Data. A mixed-method approach integrates CIB for scenario development, AHP for stakeholder-driven prioritization, and Fuzzy-TOPSIS for ranking reuse scenarios. A hypothetical case study demonstrates the framework’s applicability.
Findings. The integration of CIB, AHP, and Fuzzy-TOPSIS provides a structured decision-making approach that enhances scenario coherence, aligns decisions with stakeholder priorities, and improves scenario ranking robustness. The framework enables systematic exploration of adaptive reuse scenarios, ensuring alignment with stakeholder objectives.
Theoretical / Practical / Societal implications. Theoretically, this study advances scenario-based decision-making by integrating scenario development and decision-making approaches, addressing gaps in adaptive reuse decision frameworks. Practically, it provides policymakers, urban planners, and developers with a structured tool to navigate complex decision-making in adaptive reuse projects. Societally, it supports sustainable and inclusive urban development by fostering consistent, long-term strategies that balance environmental, economic, and social considerations. ...
Methods and Data. A mixed-method approach integrates CIB for scenario development, AHP for stakeholder-driven prioritization, and Fuzzy-TOPSIS for ranking reuse scenarios. A hypothetical case study demonstrates the framework’s applicability.
Findings. The integration of CIB, AHP, and Fuzzy-TOPSIS provides a structured decision-making approach that enhances scenario coherence, aligns decisions with stakeholder priorities, and improves scenario ranking robustness. The framework enables systematic exploration of adaptive reuse scenarios, ensuring alignment with stakeholder objectives.
Theoretical / Practical / Societal implications. Theoretically, this study advances scenario-based decision-making by integrating scenario development and decision-making approaches, addressing gaps in adaptive reuse decision frameworks. Practically, it provides policymakers, urban planners, and developers with a structured tool to navigate complex decision-making in adaptive reuse projects. Societally, it supports sustainable and inclusive urban development by fostering consistent, long-term strategies that balance environmental, economic, and social considerations.
Accelerating circularity systemically
Three directions for impactful research
What matters when?
An integrative literature review on decision criteria in different stages of the adaptive reuse process
Despite the significant growth of the literature on adaptive reuse, little is known about the specific criteria unfolding throughout the different phases of the adaptive reuse decision-making process. To address this gap this paper aims to provide a comprehensive, state-of-the-art overview of the decision criteria for adaptive reuse throughout the adaptive reuse process. Through an integrative literature review with a systematic search strategy, three phases are substantiated: pre-project phase, preparation phase, and post-completion phase. This paper finds that despite the similarities between the different phases, with a predominant repetition of economic and architectural categories, more specific environmental decision criteria are still overlooked. The findings underscore the necessity for additional research on circularity within the adaptive reuse process, emphasizing the significance of the often overlooked implementation phase, crucial for practices like disassembly. By offering a novel process perspective on AR decision-making, this study contributes to the growing discourse on adaptive reuse and provides a basis for further enhancement of AR decision-making frameworks.
Towards promoting circular building adaptability in adaptive reuse projects
A co-developed framework
Circular building adaptability (CBA) in adaptive reuse – building transformation – projects can facilitate a resource-efficient and futureproof redevelopment of the built environment. However, there has been a lack of practical tools that guide practitioners on how to foster CBA in adaptive reuse. Therefore, this study aims to collaboratively develop a guiding framework for CBA in adaptive reuse (CBA-AR) projects in general. The CBA-AR framework is a descriptive and content-oriented synthesis mapping a series of strategies to the CBA determinants alongside their enablers and inhibitors.
Design/methodology/approach
A participatory research-oriented approach was followed. First, an archival research was conducted to develop the CBA-AR framework based on literature review and case studies. Second, two co-creation workshops, triangulated with structured interviews, were conducted to validate and expand the framework.
Findings
The first version of the CBA-AR framework comprises 30 CBA strategies. It also brings seven enablers and six inhibitors together with the 30 CBA strategies. The outcomes of the participatory approach contributed to refining and expanding the framework. The final of the CBA-AR framework version comprises CBA 33 strategies. This version brings 10 enablers and 7 inhibitors together with the 33 strategies.
Practical implications
This framework can be used as a guiding and reporting instrument by designers and property developers while transforming vacant or obsolete properties in the Netherlands. Policy makers can refer to this framework and amend adaptive reuse legislation.
Originality/value
The CBA-AR framework can introduce a transformative change in theory and practice, as it is based on theoretical, empirical and participatory research. ...
Circular building adaptability (CBA) in adaptive reuse – building transformation – projects can facilitate a resource-efficient and futureproof redevelopment of the built environment. However, there has been a lack of practical tools that guide practitioners on how to foster CBA in adaptive reuse. Therefore, this study aims to collaboratively develop a guiding framework for CBA in adaptive reuse (CBA-AR) projects in general. The CBA-AR framework is a descriptive and content-oriented synthesis mapping a series of strategies to the CBA determinants alongside their enablers and inhibitors.
Design/methodology/approach
A participatory research-oriented approach was followed. First, an archival research was conducted to develop the CBA-AR framework based on literature review and case studies. Second, two co-creation workshops, triangulated with structured interviews, were conducted to validate and expand the framework.
Findings
The first version of the CBA-AR framework comprises 30 CBA strategies. It also brings seven enablers and six inhibitors together with the 30 CBA strategies. The outcomes of the participatory approach contributed to refining and expanding the framework. The final of the CBA-AR framework version comprises CBA 33 strategies. This version brings 10 enablers and 7 inhibitors together with the 33 strategies.
Practical implications
This framework can be used as a guiding and reporting instrument by designers and property developers while transforming vacant or obsolete properties in the Netherlands. Policy makers can refer to this framework and amend adaptive reuse legislation.
Originality/value
The CBA-AR framework can introduce a transformative change in theory and practice, as it is based on theoretical, empirical and participatory research.
Co-Development of a Framework for Circular Building Adaptability in Adaptive Reuse
A Participatory Study