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A study on the Development of a Smart city Export HUB Platform based on Korea-ASEAN Public-Private Network

한-아세안 민관 네트워크기반의 스마트시티 수출을 위한 거점 HUB 플랫폼 개발에 관한 연구

  • Kim, Dae Ill (Institute of Urban Science, University of Seoul) ;
  • Kim, Jeong Hyeon (Institute of Urban Science, University of Seoul) ;
  • Yeom, Chun Ho (International School of Urban Sciences, University of Seoul)
  • Received : 2022.11.16
  • Accepted : 2022.11.29
  • Published : 2022.12.31

Abstract

Recently, ASEAN is not only a new production base but also a consumer market for Korea, and interest in the utilization of production networks in each region is increasing. In particular, urbanization in ASEAN countries is progressing at a relatively fast pace. Each country is promoting smart city projects combined with ICT to improve outdated basic infrastructure facilities such as housing, transportation, logistics, crime prevention, and disaster prevention. The purpose of this study is to develop a web-based smart city export HUB platform so that companies with excellent domestic smart city solutions can participate in smart city construction through networks with ASEAN countries. These platforms can secure the demand for smart city construction in ASEAN countries, and through the establishment of the Korea-ASEAN public-private network, smart cities planned in ASEAN countries can be promoted more innovative. In addition, it is expected to be positioned as a Global smart city platform model by applying to real cities through collaboration with excellent domestic companies.

최근 아세안은 우리나라의 새로운 생산기지이자 소비시장으로서 각 지역에서 생산 네트워크의 활용에 대한 관심이 높아지고 있다. 특히 아세안 국가의 도시화는 상대적으로 빠른 속도로 진행되고 있으며, 각 국가들은 주거, 교통, 물류, 방범, 방재 등 낙후된 기초 인프라 시설 개선을 위해 첨단 ICT와 결합한 스마트시티 사업을 추진하고 있다. 본 연구의 목적은 국내 우수한 스마트시티 솔루션을 보유한 기업들이 아세안 국가와의 네트워크를 통해 스마트시티 구축에 참여할 수 있도록 Web 기반의 스마트시티 수출 거점 HUB 플랫폼을 개발하는 데 있다. 이러한 플랫폼을 통해 아세안 국가의 스마트시티 구축에 대한 수요를 확보할 수 있으며, 한-아세안 민관 네트워크 구축을 통해 향후 아세안 국가에서 계획 중인 스마트시티를 보다 혁신적으로 추진할 수 있다. 또한 국내 우수 기업들과 협업을 통해 실제 도시에 적용이 가능하게 되면, 세계적인 스마트시티 플랫폼 모델로 자리매김할 수 있을 것으로 기대된다.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2020S1A5C 2A01092978).

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