Enhancing Interoperability of Construction Data for Managing Integrated Active BIM Features

Kim, Hyeon Seung; Cho, Bit Na; Moon, Hak-Ryong; Ju, Ki Beom; Kang, Leen Seok

doi:10.4028/www.scientific.net/amr.831.442

Cited by 5 publications

(6 citation statements)

References 3 publications

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“…IFC is seen as the future of BIM data exchange medium to support automated BIM updating due to high data exchangeability. However, the current IFC version (IFC 2 × 3 and IFC 4) cannot cater for all solutions for automated updating of the construction schedule (Kim et al , 2014; Moon et al , 2014; Rathinam et al , 2008). Even, it is not universal for all infrastructures.…”

Section: Qualitative Discussionmentioning

confidence: 99%

A scientometric review of construction progress monitoring studies

Patel

Guo

Zou

2021

ECAM

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PurposeThis article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.Design/methodology/approachThe science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.FindingsThis study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision).Practical implicationsThis study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.Originality/valueThis paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.

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Section: Qualitative Discussionmentioning

confidence: 99%

A scientometric review of construction progress monitoring studies

Patel

Guo

Zou

2021

ECAM

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“…As evident from the strategy map, the selection factor interoperability (IT) has a noticeable influence on factors such as multi-stakeholder BIM collaboration (CI), vendor service support (TS), flexibility to change the workflow & business model (FL), innovation & research development capabilities (ID), software functionality (SO), initial software costing (IN), BIM standard and regional regulations (BS), and BIM software awareness (BT). This is echoed by research findings that says a lack of interoperability is the key barrier for BIM adoption in AEC companies [52,53]. BIM software should be greatly determined by its capacity to create seamless interoperability among project stakeholders with various BIM software.…”

Section: Discussion On Key Findingsmentioning

confidence: 99%

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

et al. 2021

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The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software.

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“…BIM modely lze dle míry interoperability rozdělit na aktivní a pasivní [13]. Pak je možné hovořit o tzv.…”

Section: Aktivní a Pasivní Bim Přístupunclassified

Využití metody BIM pro studie LCA a digitalizaci stavebnictví – rešerše

Brandtner¹,

Boháček²

2022

Juniorstav

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Stavebnictví je z hlediska produkce či vytváření pracovních míst strategicky důležité odvětví pro hospodářství České republiky. Jde nicméně o jedno z nejméně digitalizovaných odvětví. Jedním z prostředků pro digitalizaci stavebnictví je zavedení metody BIM (Building Information Management). Dopady na životní prostředí staveb i využívání lidských zdrojů jsou tématem, o něhož v poslední době v odborné i laické společnosti značně vzrůstá zájem. Existuje tedy jasná společenská potřebnost propojení metody posuzovaní životního cyklu (LCA) a BIM. Posuzování životního cyklu je metoda posuzování životního cyklu produktu nebo služby z hlediska jeho působení na životní prostředí. Článek přispívá do souboru znalostí novým souhrnem teoretických poznatků, předpokladů a závěrů o konexi LCA a BIM.

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Enhancing Interoperability of Construction Data for Managing Integrated Active BIM Features

Cited by 5 publications

References 3 publications

A scientometric review of construction progress monitoring studies

A scientometric review of construction progress monitoring studies

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

Využití metody BIM pro studie LCA a digitalizaci stavebnictví – rešerše

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