Housing safety and health academic and public opinion mining from 1945 to 2021: PRISMA, cluster analysis, and natural language processing approaches

Li, Na; Li, Rita Yi Man; Yao, Qi; Song, Lingxi; Deeprasert, Jirawan

doi:10.3389/fpubh.2022.902576

Cited by 9 publications

(4 citation statements)

References 69 publications

(77 reference statements)

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“…The widespread acceptance of this methodology technique in systematic review studies is attributed to its lucid delineation of the rationale and methodologies employed to locate, screen, exclude, and include the pertinent literature [49,50], bolstering the precision and accuracy of the systematic review process. It has been applied in the housing safety and health research [51], healthcare [52], and education [53].…”

Section: Methodsmentioning

confidence: 99%

Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Afzal,

Li,

Ayyub

et al. 2023

Sustainability

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Structural design optimization (SDO) plays a pivotal role in enhancing various aspects of construction projects, including design quality, cost efficiency, safety, and structural reliability. Recent endeavors in academia and industry have sought to harness the potential of building information modeling (BIM) and optimization algorithms to optimize SDO and improve design outcomes. This review paper aims to synthesize these efforts, shedding light on how SDO contributes to project coordination. Furthermore, the integration of sustainability considerations and the application of innovative technologies and optimization algorithms in SDO necessitate more interactive early stage collaboration among project stakeholders. This study offers a comprehensive exploration of contemporary research in integrated SDO employing BIM and optimization algorithms. It commences with an exploratory investigation, employing both qualitative and quantitative analysis techniques following the PRISMA systematic review methodology. Subsequently, an open-ended opinion survey was conducted among construction industry professionals in Europe. This survey yields valuable insights into the coordination challenges and potential solutions arising from technological shifts and interoperability concerns associated with the widespread implementation of SDO. These preliminary steps of systematic review and industry survey furnish a robust foundation of knowledge, enabling the proposal of an intelligent framework for automating early stage sustainable structural design optimization (ESSDO) within the construction sector. The ESSDO framework addresses the challenges of fragmented collaboration between architects and structural engineers. This proposed framework seamlessly integrates with the BIM platform, i.e., Autodesk Revit for architects. It extracts crucial architectural data and transfers it to the structural design and analysis platform, i.e., Autodesk Robot Structural Analysis (RSA), for structural engineers via the visual programming tool Dynamo. Once the optimization occurs, optimal outcomes are visualized within BIM environments. This visualization elevates interactive collaborations between architects and engineers, facilitating automation throughout the workflow and smoother information exchange.

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Section: Methodsmentioning

confidence: 99%

Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Afzal,

Li,

Ayyub

et al. 2023

Sustainability

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“…Similar to studies [45,46], this study employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to retrieve pertinent research records. Subsequently, it performs a systematic literature review to analyze these records.…”

Section: Materials and Methods For Literature Reviewmentioning

confidence: 99%

“…This study adopts a systematic review approach to provide a rigorous overview of the state-of-the-art research on critical elements and components of DT development and its applications in the AEC sector. Similar to previous studies [45,49,50], this study aims to explore and understand DT research via the PRISMA technique. Figure 1 represents a step-by-step process for literature retrieval from popular databases for scientific research, including Web of Science (WoS), Scopus, Taylor and Francis, IEEE Xplore, Springer, and ASCE Library.…”

Section: Literature Retrieval and Review Processmentioning

confidence: 99%

Delving into the Digital Twin Developments and Applications in the Construction Industry: A PRISMA Approach

Afzal,

Li,

Shoaib

et al. 2023

Sustainability

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Construction 4.0 is witnessing exponential growth in digital twin (DT) technology developments and applications, revolutionizing the adoption of building information modelling (BIM) and other emerging technologies used throughout the built environment lifecycle. BIM provides technologies, procedures, and data schemas representing building components and systems. At the same time, the DT enhances this with real-time data for integrating cyber-physical systems, enabling live asset monitoring and better decision making. Despite being in the early stages of development, DT applications have rapidly progressed in the AEC sector, resulting in a diverse literature landscape due to the various technologies and parameters involved in fully developing the DT technology. The intricate complexities inherent in digital twin advancements have confused professionals and researchers. This confusion arises from the nuanced distinctions between the two technologies, i.e., BIM and DT, causing a convergence that hinders realizing their potential. To address this confusion and lead to a swift development of DT technology, this study provides a holistic review of the existing research focusing on the critical components responsible for developing the applications of DT technology in the construction industry. It highlights five crucial elements: technologies, maturity levels, data layers, enablers, and functionalities. Additionally, it identifies research gaps and proposes future avenues for streamlined DT developments and applications in the AEC sector. Future researchers and practitioners can target data integrity, integration and transmission, bi-directional interoperability, non-technical factors, and data security to achieve mature digital twin applications for AEC practices. This study highlights the growing significance of DTs in construction and provides a foundation for further advancements in this field to harness its potential to transform built environment practices. It also pinpoints the latest developments in AI, namely the large language model (LLM) and retrieval-augmented generation (RAG)’s implications for DT education, policies, and the construction industry’s practices.

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“…In addition, the expatriates often organize those informal training approaches individually, while the employer may occasionally provide such training ( Brewster and Pickard, 1994 ). Informal learning utilizes a variety of strategies and tools: people share occupational safety knowledge via Twitter ( Song et al, 2022 ), construction practitioners and government officials share the construction safety knowledge via blog ( Li and Poon, 2011 ) and Weibo ( Zeng and Li, 2022 ) and residential safety via Twitter ( Li et al, 2022 ). According to Bear (2008) , the majority of expatriates utilize internet-based tools like different Social media websites, e.g., Google, Facebook, YouTube, Whatsapp, Wechat, and Twitter, as informal learning resources to understand the culture and the new country.…”

Section: Literature Reviewmentioning

confidence: 99%

Adjustment of self-initiated and organizational expatriates: The moderating role of cross-cultural training

et al. 2023

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Globalization and the international labor movement made the ability to work anywhere globally. These individuals are usually organizational expatriates (OEs) deployed to overseas assignments by their employers or self-initiated expatriates (SIEs) who choose to relocate and work in a foreign country. Therefore, this study examines and contrasts the variations in cross-cultural adjustment (CCA) between Chinese SIEs and OEs in Pakistan. Furthermore, it aims to understand how cross-cultural training (CCT) influences the adaptation of Chinese SIEs and OEs. Data were obtained from 35 Chinese expatriates with 17 SIEs and 18 OEs employing a qualitative technique and were analyzed via thematic analysis in MAXQDA 20. According to the study, both SIEs and OEs face distinct hurdles to their CCA in Pakistan, including cultural taboos, language obstacles, and work variations. While numerous aspects that will favorably affect their CCA, including the accessibility of necessities, the friendliness of the Pakistani people, and the brethren relations between Pakistan and China, assist them in making a smooth transition to life in Pakistan. Furthermore, the results indicate that the mediating role of pre-departure CCT and the host country mentors’ support and facilitations acquired through online resources contribute to both Chinese SIEs and OEs’ CCA in Pakistan.

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Housing safety and health academic and public opinion mining from 1945 to 2021: PRISMA, cluster analysis, and natural language processing approaches

Cited by 9 publications

References 69 publications

Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Delving into the Digital Twin Developments and Applications in the Construction Industry: A PRISMA Approach

Adjustment of self-initiated and organizational expatriates: The moderating role of cross-cultural training

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