|Publication type:||Conference paper|
|Type of review:||Peer review (publication)|
|Title:||Common data environment for sustainable smart real estate portfolios|
Druhmann, Carsten K.
|Proceedings:||CIB World Building Congress 2019|
|Conference details:||CIB World Building Congress, Constructing Smart Cities, Hong Kong, China, 17-21 June 2019|
|Publisher / Ed. Institution:||International Council for Research and Innovation in Building and Construction|
|Subjects:||Real Estate; BIM; Smart Cities|
|Subject (DDC):||624: Civil engineering|
|Abstract:||The high-tech dimension of smart cities integrated with high social engagement can address sustainability challenges of public real estate portfolios. The life-cycle information crucial for decision making concerning sustainable design, construction and operation is available as un-structured data silos. This paper considers the challenges of creating participation platforms based on common data environment where end-users could assist asset managers/owners in making well-informed decisions in re-development projects. The research methodology followed a design-based approach which involved business model development and prototyping of the Common Data Environment Platform supported by Application Programming Interfaces. Systematic literature review was as a base for the conceptual development and further adjustments. The findings highlight the main challenges: 1) islands of unstructured life-cycle data; 2) lack of interfaces and resilient technical solutions addressing privacy; 3) lack of business models; 4) undefined processes. These challenges were tackled by the proposed Common Data Environment Platform which is described through the business model and the Information and Communication Technology solution for “services”, “data exchange processes, interfaces” and a “database”. The end-users participate in decision-making by providing the information for optimizing the design and operation services for their purpose, but also to increase the economic, environmental and social sustainability indicators. Established processes based on Building Information Models enable stakeholders to collect and exchange information in a feedback-loop. The technical solution is a decentralized database of data hubs exchanging signed hashes of Merkle trees as building blocks for more complex structures tailored towards the identified needs. The resilient solution allows for interaction through structured queries and Application Programming Interfaces, which are feasible through distributed indices. The developed approach combines high technology with high social involvement which attempts to suggest a transition from smart to the next generation of responsive cities. By bringing the data and knowledge of end-users and asset managers in a feedback loop, the redevelopment of a real estate portfolio is shaped by this knowledge. The bottom-up approach supports the progression from the real estate portfolio to a sustainable smart city development.|
|Fulltext version:||Published version|
|License (according to publishing contract):||Not specified|
|Departement:||Life Sciences and Facility Management|
|Organisational Unit:||Institute of Facility Management (IFM)|
|Appears in collections:||Publikationen Life Sciences und Facility Management|
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