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Smart City Framework Based on Geospatial Information Standards

공간정보 표준기반 스마트시티 프레임워크

  • 고은비 (한국정보통신기술협회 표준화본부) ;
  • 정국식 (한국정보통신기술협회 표준화본부) ;
  • 구경철 (한국정보통신기술협회 )
  • Received : 2023.12.11
  • Accepted : 2023.12.18
  • Published : 2024.02.29

Abstract

Modern cities are actively adopting smart city services to address various urban challenges. Geospatial information acts as the foundational infrastructure of smart cities, promoting the sustainable development of urban areas. Consequently, as the standardization and utilization of geospatial information increase, the efficiency and sustainability of smart city operations improve. To achieve this, collaboration among diverse stakeholders is crucial for delivering optimal smart city services based on geospatial information. This paper defines smart city services, focusing on transportation and building-energy domains, based on the life cycle of geospatial information technology. Emphasis is placed on the importance of applying and utilizing geospatial information standards. Additionally, this paper proposes the Smart City based on Geospatial Information standards (SCGI) framework to provide insights into standardizing smart city services mapped to geospatial information standards. This research suggests a new paradigm for standardizing smart city services using geospatial information standards to offer customized solutions, thereby discussing the future development possibilities of smart cities.

현대 도시는 다양한 도시 문제에 대응하기 위해 적극적으로 스마트시티 서비스를 도입하고 있다. 공간정보는 스마트시티의 기반 인프라로 작용하며, 도시의 지속 가능한 발전을 촉진한다. 공간정보의 표준화와 활용이 증가함에 따라 스마트시티의 효율적인 운영과 지속가능성이 향상되는데, 이를 위해서는 다양한 이해관계자들간의 협력을 통한 최적의 공간정보 기반 스마트시티 서비스 제공이 중요하다. 본 연구에서는 교통 및 건축-에너지 도메인 중심의 스마트시티 서비스를 공간정보 기술의 생애주기 기반으로 정의하고, 이를 공간정보 표준에 적용하고 활용하는 중요성을 강조한다. 또한, 공간정보 표준기반 스마트시티(SCGI, Smart City based on Geospatial Information standards) 프레임워크를 제안하여, 공간정보 표준에 매핑 가능한 스마트시티 서비스의 표준화에 관한 인사이트를 제시하였다. 본 연구는 공간정보 표준을 활용하여 커스터마이징된 솔루션을 제공함으로써 스마트시티 서비스의 표준화를 위한 새로운 패러다임을 제시하며, 스마트시티의 미래 발전 가능성을 논의한다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호: RS-2020-KA158608).

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