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2023 Vol.13, Issue 3 Preview Page

Research Article

A Public Open Civil Complaint Data Analysis Model to Improve Spatial Welfare for Residents - A Case Study of Community Welfare Analysis in Gangdong District -

거주민 공간복지 향상을 위한 공공 개방 민원 데이터 분석 모델 - 강동구 공간복지 분석 사례를 중심으로 -

Dongyoun Shin1
신 동윤1
1정회원, 단국대 건축학부 조교수 (sindy@dankook.ac.kr)
*Corresponding Author
30 September 2023. pp. 39-47
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Abstract

This study aims to introduce a model for enhancing community well-being through the utilization of public open data. To objectively assess abstract notions of residential satisfaction, text data from complaints is analyzed. By leveraging accessible public data, costs related to data collection are minimized. Initially, relevant text data containing civic complaints is collected and refined by removing extraneous information. This processed data is then combined with meaningful datasets and subjected to topic modeling, a text mining technique. The insights derived are visualized using Geographic Information System (GIS) and Application Programming Interface (API) data. The efficacy of this analytical model was demonstrated in the Godeok/Gangil area. The proposed methodology allows for comprehensive analysis across time, space, and categories. This flexible approach involves incorporating specific public open data as needed, all within the overarching framework.

Keywords
공공데이터
공간복지
빅데이터
텍스트마이닝
민원정보
키워드
Public Data
Spatial Welfare
Big Data
Text Mining
Complaint Information
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Information
  • Publisher :Journal of KIBIM
  • Publisher(Ko) :한국BIM학회
  • Journal Title :Journal of KIBIM
  • Journal Title(Ko) :한국BIM학회논문집
  • Volume : 13
  • No :3
  • Pages :39-47
  • Received Date : 2023-08-28; 2023-09-24
  • Accepted Date : 2023-09-25
  • DOI :https://doi.org/10.13161/kibim.2023.13.3.039
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