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Quantitative Analysis of Construction Site Layout: A Usability Evaluation Study

건설현장배치 수준의 정량적 평가: 사용성평가 방법을 활용하여

  • Park, Seonghun (Division of Architecture & Urban Design, Incheon National University) ;
  • Kim, Tae Wan (Division of Architecture & Urban Design, Incheon National University) ;
  • Son, Bosik (Department of Architectural Engineering, Namseoul University)
  • 박성훈 (인천대학교 건축학과) ;
  • 김태완 (인천대학교 도시건축학부) ;
  • 손보식 (남서울대학교 건축공학과)
  • Received : 2022.06.03
  • Accepted : 2022.08.11
  • Published : 2022.09.30

Abstract

Construction site layout is attracting attention as efficient use of construction site space greatly affects the duration and cost of the overall construction. Therefore, there are many studies that automate and optimize construction site layout planning. However, the usability of construction site, which consists of goal variables of the studies, has still been unknown. Therefore, the authors present the evaluation criteria for usability of construction site layout and evaluate the usability of domestic construction sites through user survey. Furthermore, the difference in usability between construction site managers and construction site workers was confirmed. As a result of the survey, domestic construction site layout had a low effectiveness and had the lowest score in the environment category. In addition, construction site workers scored lower overall than construction site managers. Through such usability evaluation results, it contributed to the construction site layout theory by assessing current construction site layout practice and suggesting an improvement direction for automating site layout planning.

건설현장배치는 프로젝트 공기와 비용에 큰 영향을 미치므로 이에 대한 최적화 및 자동화 연구가 수행되고 있다. 하지만, 이러한 연구의 목표변수인 건설현장배치의 수준을 평가하는 근거는 매우 제한적이다. 본 연구는 사용성평가 방법을 활용하여 건설현장배치의 수준을 평가하고 향후 건설현장배치 자동화 및 최적화 연구에서 초점을 맞추어야 하는 부분을 확인하고자 하였다. 설문결과 국내건설현장배치 사용성은 효과와 작업환경 항목에서 낮은 점수를 받았으며, 작업자가 관리자에 비해 낮게 평가하였다. 또한 작업환경 항목에서 낮은 점수를 받았으며 현장접근성과 시설 편의성이 낮음을 확인하였다. 이 연구는 건설현장배치 현황을 파악하고 개선방향을 제시함으로써 건설현장배치 자동화 및 최적화 연구의 진행을 위한 지식에 기여한다.

Keywords

Acknowledgement

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임. 과제번호 : 2021R1A2C1013188

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