20 research outputs found

    Developing a methodological framework for adopting digitalization for deconstruction planning

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    Wastes generated from construction and demolition (C&D) activities account for a major proportion of urban solid wastes. The large amount of C&D waste generated are still being largely landfilled or downcycled worldwide. Aging built assets without proper C&D planning is a major cause of wastes not being efficiently diverted for circular use. How waste sorting could be properly planned in the early stages, not only for new construction, but also deconstruction projects is critical to minimizing C&D wastes. As there is a large amount of aging assets without digital files or even no drawings, developing a digital-driven approach to effectively estimate and categorize C&D wastes would be essential for, not just early-stage deconstruction planning, but also the development of a circular economy on C&D wastes. This study is first based on a thorough literature review of existing studies of applications of digital technologies to C&D waste diversion (WD). Limitations of existing studies are evaluated, such as the lack of digital twin approach for deconstruction. Then a methodological framework is established aiming to adopt digitalization for C&D WD, specifically for existing facilities under deconstruction planning. Based on the current work, future study would apply the methodological framework with real-world case studies to validate and test its effectiveness with initiated prototypes. Longer-term work can extend from the current framework to Internet-of-Things and Artificial Intelligence. REFERENCE

    Developing a methodological framework of adopting digital twin for deconstruction planning

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    Wastes generated from construction and demolition (C&D) activities account for a major proportion of urban solid wastes. The large amount of C&D waste gen-erated are still being largely landfilled or downcycled worldwide. Aging built as-sets without proper C&D planning is a major cause of wastes not being efficient-ly diverted for circular use. How waste sorting could be properly planned in the early stages, not only for new construction, but also deconstruction projects is critical to minimizing C&D wastes. As there is a large amount of aging assets without digital files or even no drawings, developing a digital-driven approach to effectively estimate and categorize C&D wastes would be essential for, not just early-stage deconstruction planning, but also the development of a circular econ-omy on C&D wastes. This study is first based on a thorough literature review of existing studies of applications of digital technologies to C&D waste diversion (WD). Limitations of existing studies are evaluated, such as the lack of digital twin approach for deconstruction. Then a methodological framework is estab-lished aiming to adopt digitalization for C&D WD, specifically for existing facili-ties under deconstruction planning. Based on the current work, future study would ap-ply the methodological framework with real-world case studies to vali-date and test its effectiveness with initiated prototypes. Longer-term work can ex-tend from the current framework to Internet-of-Things and Artificial Intelligence

    Web-based knowledge management system: Linking smart metering to the future of urban water planning

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    The planning of cities and the planning of their water supplies are intertwined. This paper explores the potential role of smart metering for the future of water planning and management in Australian cities. Smart meters for electricity are being rolled out nationally, and while smart meters for water are not yet being implemented at such a scale, they have the capacity to deliver increasing data to planners and residents about patterns of water use. To translate these data to useful information, a Web-Based Knowledge Management System (WBKMS) is proposed that integrates smart metering, end-use water consumption data, wireless communication networks and information management systems in order to provide real-time information on how, when and where water is being consumed for the consumer and utility. Summary data from the system will also be of interest to architects, developers and planners, seeking to understand water consumption patterns across stratified urban samples. An overview of the challenges for developing the WBKMS and an associated research agenda to address current knowledge gaps concludes the paper. © 2010 Planning Institute Australia

    Gold coast domestic water end use study

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    This paper presents the preliminary findings of the Gold Coast Watersaver End Use Project which was conducted in winter 2008, for 151 homes on the Gold Coast, Australia. Specifically, the paper includes a break down of water end use consumption data, compares this with results of previous national studies, and explores the degree of influence of household socioeconomic regions on end use. Two highly variable water end use distributions, namely shower and irrigation, were examined in detail, clustered and are discussed herein. The paper concludes with a brief description of the greater ongoing research program

    Adoption of BIM by architectural firms in India: technology–organization–environment perspective

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    Building information modelling (BIM) is being heralded as a remarkable innovation in the built environment sector with expectations of lofty sector-wide improvements. Some countries have shown remarkable levels of uptake of BIM, along the way documenting some evidence of benefits stemming from BIM. However, countries such as India and China are late entrants in the BIM adoption journey and are seeing a slower adoption rate. This study develops a model using the technology–organization–environment framework to study the factors influencing BIM adoption by architectural firms in India and reasons for this slow adoption. The proposed model of BIM adoption is tested using the partial least square method against responses collected from 184 industry professionals based in India. Findings reveal that the adoption of BIM by Indian architectural firms is at the ‘experimentation’ stage with variables such as expertise, trialability, and management support exhibiting a strong positive influence on BIM adoption. The study also explains the status of BIM adoption in India with the help of a multi-level social construct, which places the level of BIM adoption in India between the micro- and meso-levels of organizational scales. Similarities and dissimilarities with previous findings are discussed in the paper to highlight the findings of this study. © 2016 Informa UK Limited, trading as Taylor & Francis Grou

    Factors influencing BIM adoption in emerging markets—the case of India

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    This paper studies the adoption of Building Information Modelling (BIM) in emerging markets. The factors responsible for the adoption of BIM are studied in the context of Indian architectural firms. The mechanisms of diffusion of BIM are analysed through a questionnaire survey based on the Technology–Organization–Environment (TOE) framework which broadly categorises the influencing factors along these three dimensions. Data were collected through a web-based questionnaire survey. The 184 valid responses were analysed using descriptive statistics. The study found that full potential of BIM has been explored but not realised by many in the Indian construction sector. Findings of the study are analysed and compared with other emerging and developed markets. Based on the survey results, recommendations for increasing the BIM adoption are provided. Further studies and learnings from mature markets can help Indian construction sector develop effective BIM implementation strategies

    DEVELOPING A MODEL OF CONSTRUCTION SAFETY IN SAUDI ARABIA

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    The Thirteenth East Asia-Pacific Conference on Structural Engineering and Construction (EASEC-13), September 11-13, 2013, Sapporo, Japan

    Influence of organisational culture on total quality management implementation and firm performance: evidence from the Vietnamese construction industry

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    The main purpose of this study is to examine the relationship between organisational culture (OC) and Total Quality Management (TQM), and the influence of TQM implementation on organisational performance improvement within the context of the Vietnamese construction industry. A survey was conducted with 104 respondents from Vietnamese construction firms, using validated survey instruments developed in past research. Analysis techniques include cluster analysis and Structural Equation Modelling. Findings showed that Vietnamese construction firms are dominated by clan and hierarchy cultures rather than adhocracy and market cultures according to Competing Value Framework (CVF) of OC classification. urthermore, it was found that organisations dominated by either clan or adhocracy cultures could provide a favourable environment for successful TQM implementation, whereas this is not the case for those dominated by both market and hierarchy cultures. This study also confirmed the significant and positive relationship between TQM implementation and organisational performance improvement

    Workplace innovation: exploratory and confirmatory factor analysis for construct validation

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    Workplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96). Both factors showed good reliability of the scale (Individual creativity: α = 0.83, CR = 0.86, and AVE = 0.62; Team Innovation: α = 0.82, CR = 0.88, and AVE = 0.61). These results confirm that the two factors extracted for characterising workplace innovation included individual creativity and team innovation
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