Lightweighting Process of Digital Twin Information Models for Smart City Services

Chengquan Jin, Yeongchan Lee, Sanghoon Lee, Changtaek Hyun

Research output: Contribution to journalArticlepeer-review


A smart city digital twin refers to a system designed to digitally replicate real-world city objects in a virtual space and implement real-time synchronization with the real world, thus helping to solve urban problems through various service scenario simulations and data analysis processes. In relation to the development of city information models for implementing the smart city digital twin, many efforts have been made to integrate and utilize BIM-GIS data. However, due to problems with the capacity available for storing large amounts of data, there are limitations in practical applications because it is sometimes difficult to provide numerous realtime services in the era of web environments. Therefore, in this study, a lightweighting process for the Lightweight Digital Twin System was presented as a method to provide various services that a smart city offers based on the digital twin, and a lightweighting method was proposed accordingly. The process and method were verified through the development of a case application for the case of 00 city. It is expected that the Digital Twin System lightweighting method proposed in this study will serve as a basis for efficient city information processing and contribute to facilitating the provision of various smart city-related services.

Original languageEnglish
Pages (from-to)1304-1320
Number of pages17
JournalKSCE Journal of Civil Engineering
Issue number4
StatePublished - Apr 2024


  • Building information modeling (BIM)
  • Geographic information system (GIS)
  • Lightweight digital twin
  • Smart city


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