한국지리정보학회지 (Journal of the Korean Association of Geographic Information Studies)

  • 제25권4호
  • /
  • Pages.119-135
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  • 2022
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  • 1226-9719(pISSN)
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  • 2287-6952(eISSN)
한국지리정보학회 (The Korean Association of Geographic Information Studies)
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커뮤니티 참여 유형별 스마트 플랫폼 특성 분석

Analysis of the Characteristics of Smart Platforms by Type of Community Participation

  • Kwang-Woo, NAM (Kyungsung University Department of Urban Planning & Engineering) ;
  • Erlando, Sulistia (Kyungsung University, Department of Construction Environment and Urban Engineering)
  • 투고 : 2022.11.15
  • 심사 : 2022.12.08
  • 발행 : 2022.12.31
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초록

디지털 플랫폼은 온라인 커뮤니티의 운영과 지속가능성에 중요한 역할을 한다. 그러나 디지털 플랫폼 개발의 진정한 혜택은 누구를 위한 것이며 스마트 커뮤니티의 발전을 위해 디지털 플랫폼이 제공하는 혜택은 무엇이 있을까? 본 연구는 이러한 질문에 답하고자 디지털 플랫폼과 스마트 커뮤니티 간의 연관성을 이해하고 군집분석 프로세스를 사용하여 각 디지털 플랫폼의 스마트커뮤니티 지원에 관한 특성을 분석하는 것을 목표로 하였다. 본 연구에는 29개의 디지털 플랫폼이 연구 사례로 활용되었다. 이를 통해 디지털 플랫폼 특성을 구분하여 각 특성에 따른 플랫폼 서비스가 어떻게 스마트 커뮤니티의 참여를 유도하고 정보 및 서비스 제공을 개선해나가는지를 분석하였다. 디지털 플랫폼의 발전은 정책 입안자에게 스마트커뮤니티 육성을 통한 도시 혁신의 새로운 도전과제를 제공하기도 하고 효과적이고 효율적인 서비스 제공 수단으로서의 역할이 강화되고 있는 것으로 나타났다.

Digital platforms play crucial roles in terms of enabling and sustaining online communities. However, who really benefits from digital platform development, and what are the benefits digital platforms provide for the development of smart communities. This paper explores this question, the goal was to understand the links between digital platforms and smart communities, using the clustering methodology process to have a better understanding of characteristic of each digital platform, Twenty nine digital platforms is clustered and used as a study case. This paper explores how the categorization of digital platform characteristics encourages participation by a smart community, thus improving information and service delivery. On another side, the rise of digital platforms brings new challenges for policy maker to foster a smart community and firms the digital platform also offer benefits to giving effective and efficient service.

키워드

과제정보

이 연구는 국토교통부/국토교통과학기술진흥원 <빅데이터 기반의 AI도시계획기술개발>(과제번호 RS-2022-00143404)의 지원으로 수행되었습니다.

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