ORCID Profile
0000-0002-9024-3369
Current Organisations
Xiamen University
,
University of Oxford University College Oxford
,
Nanyang Technological University Nanyang Technopreneurship Center
,
Hong Kong Polytechnic University
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Publisher: Routledge
Date: 27-04-2023
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 05-2019
Publisher: MDPI AG
Date: 16-09-2023
Publisher: Informa UK Limited
Date: 13-10-2015
Publisher: Routledge
Date: 27-04-2023
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-2021
Publisher: MDPI AG
Date: 23-05-2022
DOI: 10.3390/BUILDINGS12050700
Abstract: Building materials with a low environmental impact are critical to the sustainability of the built environment. The environmental impact of materials can be determined by a Life Cycle Impact Assessment (LCIA), which constitutes multiple parameters such as the water used in a material’s life cycle. To use the LCIA approach for building material selection, its parameters need to be assigned different weights, which is the primary objective of this study. Building Information Modelling (BIM) can play an influential role when using LCIA during the building design process. With this consideration, we study the attention given to environmental sustainability in buildings and the responsiveness of BIM in this case. A multi-regional survey of 120 experts from academia and industry was conducted. The results show the relative importance of LCIA parameters and the focus of the building sector on environmental sustainability. The current and the future responsiveness of BIM towards environmental sustainability is also indicated. To promote the integration of LCIA in building design and performance assessment, the future role of BIM applications is explored. The results will contribute to research and practice in the sustainable built environment by helping select environment-friendly building materials.
Publisher: Routledge
Date: 27-04-2023
Publisher: Elsevier BV
Date: 09-2019
Publisher: Routledge
Date: 27-04-2023
Publisher: Routledge
Date: 27-04-2023
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 2016
Publisher: Wiley
Date: 07-2020
Publisher: Elsevier BV
Date: 04-2018
Publisher: Routledge
Date: 27-04-2023
Publisher: Elsevier BV
Date: 2017
Publisher: Wiley
Date: 07-2020
Publisher: Emerald
Date: 16-11-2017
DOI: 10.1108/BEPAM-11-2016-0066
Abstract: While the general trends in green building (GB) research are known, there is not yet a detailed review of studies on project delivery attributes (PDAs) influencing GB project outcomes. The purpose of this paper is to review the literature to understand the contributions of existing research in this area and to identify the challenges, gaps, and lessons for the future research relating GB project delivery. For the systematic review, specially developed coding based on Boolean operators is used to search for relevant studies in major databases, i.e. Web of Science and Scopus. The studies from the initial search (443) are subjected to two rounds of scrutiny for shortlisting only relevant publications. Using a qualitative review of the shortlisted studies (20), the research objectives and findings of the studies are synthesized and critically analyzed. The contributions and challenges facing research in this area are identified. Future research directions are proposed. Studies in the area have established association between PDAs and various GB project success criteria. In the literature, some PDAs such as project delivery method have been given greater attention than others. Challenges facing PDA research in GB include: the limited number of GB project cases and the complexity of GB project delivery process involving an overwhelmingly large number of variables, thereby limiting scientific rigor and creating some gaps in knowledge. The interaction among PDAs and their cumulative effect on various project performance outcomes/metrics have not been studied, limiting the validity of the existing studies. Scope exists to apply a combination of non-linear, dynamic, probabilistic, explicit, and implicit modeling as well as inductive and deductive approaches to research in this area. Existing research findings have limited application in practice. Non-linear, dynamic, probabilistic, deductive, and inductive research techniques and approaches can substantially advance knowledge and lead to plausible findings that can be applied in practice. Considering the critical role of PDAs in the successful delivery of GBs, the review provides clear directions for future research.
Publisher: Elsevier BV
Date: 10-2023
Location: United Kingdom of Great Britain and Northern Ireland
Location: Singapore
No related grants have been discovered for Tayyab Ahmad.