Browsing by Author "Sutrisna M"

Now showing 1 - 4 of 4
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    End-User Stakeholder Engagement in Refurbishment Design in Higher Education
    (MDPI (Basel, Switzerland), 2022-10-01) Seki Y; Olanipekun AO; Sutrisna M
    The refurbishment of building facilities needs to incorporate end-user engagement to ensure refurbished building facilities outcomes that include user-responsive learning spaces and satisfy users’ learning needs. However, existing refurbishment design process frameworks neglect to show the engagement process. A new framework for engaging end users in the refurbishment design of building facilities in higher education is presented. A qualitative research methodology was employed to obtain and analyse interview data from twenty-one design team stakeholders involved in two cases of refurbished building facilities in higher education institutions in Australia and New Zealand. The findings revealed four core themes which indicate the context and phases in the refurbishment design process where end-user engagement should be taken seriously. They are the higher education context, early design, user engagement in the design process and post-design phases. In addition, the findings revealed six specific strategies for end-user engagement in the refurbishment design of building facilities in higher education institutions. They are identifying stakeholder value systems, capturing end-user needs, communicating and integrating. Others are the setting of engagement boundaries and surveying of end users. This study modified the project heartbeat originally developed by Stanford University in 2010 for the refurbishment design process in a higher education context. The new framework bridges the gaps in the current literature between stakeholder theory and refurbishment design, and, by incorporating the refurbishment design processes, the framework can be employed in wider education and other project contexts to facilitate the balanced involvement of end users.
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    Facilitating Digital Transformation in Construction—A Systematic Review of the Current State of the Art
    (Frontiers Media S.A., 2021-07-09) Olanipekun AO; Sutrisna M
    There is increasing implementation of digital technologies in construction. However, the transformation effects encompassing digital technology implementation are yet to be fully comprehended within the context of construction. Therefore, this study was aimed to provide a holistic understanding of digital transformation in construction. The study drew on extant literature by studying 36 journal publications published between 2016 when digital transformation emerged in construction from the information systems field and 2020. This led to the development of an inductive framework using a grounded theory methodology (GTM) to highlight digital transformation in construction as a process where the implementation of digital technologies creates transformation effects that trigger strategic considerations for putting in place the enablers that facilitate transformation effects and for suppressing the barriers to it. Building on the framework, this study described and presented the strategic considerations for facilitating specific enablers and those for suppressing specific barriers as digital transformation guideline in construction. This study demonstrated how the implementation of digital technologies has increased the understanding of and provided the basis for digital transformation in construction.
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    In support of sustainable densification in urban planning: a proposed framework for utilising CCTV for propagation of human energy from movement within urban spaces
    (Taylor and Francis Group, 2019-12-18) Jonescu E; Mercea T; Do K; Sutrisna M
    Co-generation of energy derived from human movement is not new. Intentionally accumulating energy, from mass urban-mobility, provides opportunities to re-purpose power. However, when mass-mobility is predictable, yet not harnessed, this highlights critical gaps in application of interdisciplinary knowledge. This research highlights a novel application of geostatistical modelling for the built environment with the purpose of understanding where energy harvesting infrastructure should be located. The work presented argues that advanced Geostatistical methods can be implemented as an appropriate method to predict probability distribution, density, clustering of populations and mass-population mobility patterns from large-scale online distributed and heterogeneous data sets published by the Australian Urban Research Infrastructure Network. Where clear urban spatio-behavioural relationships of density and movement can be predicted–understanding such patterns supports cross-disciplinary city planning and decision-making. A data-informed–predictive spatial decision-making framework is proposed–facilitating the endeavour of cogenerating kinetic human energy within a prescribed space. This novel proposition could further sustainability strategies for compact living for cities such as in Perth, Western Australia which is increasingly economically and geographically pressured to densify. This research argues that surveillance data elucidate a capacity to interpret and understand impacts of densification strategies, efficacy of CCTV networks in existing and emerging cities.
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    Statistical cost modelling for preliminary stage cost estimation of infrastructure projects
    (IOP Publishing, 2022-12-15) Atapattu C; Domingo N; Sutrisna M