거주민 공간복지 향상을 위한 공공 개방 민원 데이터 분석 모델

• 영문명: A Public Open Civil Complaint Data Analysis Model to Improve Spatial Welfare for Residents: A Case Study of Community Welfare Analysis in Gangdong District
• 발행기관: 한국BIM학회
• 저자명: 신동윤(Shin, Dongyoun)
• 간행물 정보: 『KIBIM Magazine』13권 3호, 39~47쪽, 전체 9쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2023.09.30

영문 초록

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.

목차

1. 서론

2. 연구 방법

3. 대상지 실증 분석

4. 결론 및 고찰

References

키워드

공공데이터 공간복지 빅데이터 텍스트마이닝 민원정보 Public Data Spatial Welfare Big Data Text Mining Complaint Information