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Smart city article details
| Title | The Uptake Of City Information Modelling (Cim): A Comprehensive Review Of Current Implementations, Challenges And Future Outlook |
|---|---|
| ID_Doc | 57064 |
| Authors | Omrany H.; Ghaffarianhoseini A.; Ghaffarianhoseini A.; Clements-Croome D.J. |
| Year | 2023 |
| Published | Smart and Sustainable Built Environment, 12, 5 |
| DOI | http://dx.doi.org/10.1108/SASBE-06-2022-0116 |
| Abstract | Purpose: This paper critically analysed 195 articles with the objectives of providing a clear understanding of the current City Information Modelling (CIM) implementations, identifying the main challenges hampering the uptake of CIM and providing recommendations for the future development of CIM. Design/methodology/approach: This paper adopts the PRISMA method in order to perform the systematic literature review. Findings: The results identified nine domains of CIM implementation including (1) natural disaster management, (2) urban building energy modelling, (3) urban facility management, (4) urban infrastructure management, (5) land administration systems, (6) improvement of urban microclimates, (7) development of digital twin and smart cities, (8) improvement of social engagement and (9) urban landscaping design. Further, eight challenges were identified that hinder the widespread employment of CIM including (1) reluctance towards CIM application, (2) data quality, (3) computing resources and storage inefficiency, (4) data integration between BIM and GIS and interoperability, (5) establishing a standardised workflow for CIM implementation, (6) synergy between all parties involved, (7) cybersecurity and intellectual property and (8) data management. Originality/value: This is the first paper of its kind that provides a holistic understanding of the current implementation of CIM. The outcomes will benefit multiple target groups. First, urban planners and designers will be supplied with a status-quo understanding of CIM implementations. Second, this research introduces possibilities of CIM deployment for the governance of cities; hence the outcomes can be useful for policymakers. Lastly, the scientific community can use the findings of this study as a reference point to gain a comprehensive understanding of the field and contribute to the future development of CIM. © 2022, Emerald Publishing Limited. |
| Author Keywords | 3D city model; Cities; City information modelling; GIS; Smart city; Urban management |
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