Longitudinal Study of BIM Adoption by Public Construction Clients

Gurevich, Ury; Sacks, Rafael

doi:10.1061/(asce)me.1943-5479.0000797

Cited by 41 publications

(37 citation statements)

References 33 publications

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“…No current tool able to offer complete ability to pre-check for compliance prior to formal submission. While Table 1 lists multiple approaches that offer the ability to check against design time models, none, with the exception of [3], have achieved industry level adoption Specifically, in relation to items 5-7, while academic literature is strongly in favour of BIM adoption, the wider industry has not yet reached a state of where BIM data has achieved primacy in all projects [48].…”

mentioning

confidence: 99%

Towards the adoption of automated regulatory compliance checking in the built environment

Beach

Hippolyte

Rezgui

2020

Automation in Construction

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Automated compliance checking brings advantages to the built environment but, currently, there has been no meaningful adoption, despite the increasing maturity of asset information models. This paper addresses this by ascertaining the blockers/obstacles to adoption and develops a road-map to overcome them. This work has been conducted in the UK and a road-map has been produced to drive forward adoption. More specifically this paper has; assessed the current state of the art in the field and engaged with industry to examine the attitudes to the digitisation of regulatory compliance processesThe results showed that industry believes that adoption of automation was both feasible and desirable, with the caveat that human oversight be maintained.Our road-map's methodical list of steps was judged to have the potential to bring the construction industry to the verge of mass industrialisation of automated compliance checking by 2025.

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mentioning

confidence: 99%

Towards the adoption of automated regulatory compliance checking in the built environment

Beach

Hippolyte

Rezgui

2020

Automation in Construction

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“…With few exceptions, the digital twin concept has been applied in the built environment to date primarily to the operation and maintenance phases. Governmental and other public clients have increasingly recognized that the information provided through use of BIM in the procurement process of infrastructure assets has value in that it can provide the cornerstone for information systems for optimal operation of individual assets, of systems of assets, and indeed of systems of systems (Bew, 2016;Gurevich and Sacks, 2020). The procedures for defining requirements and for delivery of asset information using BIM for the purpose of asset and system operation and maintenance are proscribed by ISO 19650 (ISO/DIS 19650, 2018).…”

Section: Digital Twins In the Built Environmentmentioning

confidence: 99%

Construction with digital twin information systems

Sacks

Brilakis

Pikas

et al. 2020

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The concept of a “digital twin” as a model for data-driven management and control of physical systems has emerged over the past decade in the domains of manufacturing, production, and operations. In the context of buildings and civil infrastructure, the notion of a digital twin remains ill-defined, with little or no consensus among researchers and practitioners of the ways in which digital twin processes and data-centric technologies can support design and construction. This paper builds on existing concepts of Building Information Modeling (BIM), lean project production systems, automated data acquisition from construction sites and supply chains, and artificial intelligence to formulate a mode of construction that applies digital twin information systems to achieve closed loop control systems. It contributes a set of four core information and control concepts for digital twin construction (DTC), which define the dimensions of the conceptual space for the information used in DTC workflows. Working from the core concepts, we propose a DTC information system workflow—including information stores, information processing functions, and monitoring technologies—according to three concentric control workflow cycles. DTC should be viewed as a comprehensive mode of construction that prioritizes closing the control loops rather than an extension of BIM tools integrated with sensing and monitoring technologies.

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“…Some studies that have focused on individual factors identified the determinants of BIM adoption as BIM capability (Hong et al, 2019), self-efficacy (Son et al, 2015), subjective attitude (Xu et al, 2014), personal competency (Lee & Yu, 2016), and personal innovativeness . At the organizational level, several factors such as inter-organizational knowledge mobility (Papadonikolaki, 2018), financial resources (Dainty et al, 2017;Ma, Chan, et al, 2020), top management support (Gurevich & Sacks, 2020), as well as the size, culture, and competency of the organization (Juan et al, 2017;Lee & Yu, 2016;Liu et al, 2019), were proved to have a critical impact on BIM adoption. Moreover, several studies explored the usage environment that significantly influences BIM adoption, such as government BIM mandate (Gurevich et al, 2017), coercive and mimetic pressures (Cao et al, 2014), government subsidies (Yuan & Yang, 2020), market demands (Rogers et al, 2015), and external institutional environment (Cao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Exploring the adoption of BIM amidst the COVID-19 crisis in China

Wang

Gao

et al. 2021

Building Research & Information

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The outbreak of COVID-19 has introduced critical challenges in the architecture, engineering, and construction (AEC) industry; to address these challenges, building information modelling (BIM) can be applied as a project management tool to help enhance collaboration among stakeholders and improve business performance. Amidst the COVID-19 crisis, there is a greater need to explore and implement effective strategies to promote a wider adoption of BIM. However, increasing the willingness of project participants to adopt BIM through event management has not received much attention. Therefore, based on event system theory and innovation diffusion theory, we developed a model to explore the influence of the COVID-19 crisis on the willingness of AEC participants to adopt BIM. Structural equation modelling was performed to test the hypotheses. The results demonstrate that the intention of the AEC project participants to adopt BIM is directly driven by the COVID-19 event criticality and perceived usefulness of BIM. Moreover, the event criticality and BIM technical features (relative advantage, compatibility, and complexity) can indirectly affect this intention, through the perceived usefulness. However, the impact of event disruption and novelty on the BIM adoption intention is not significant. Several recommendations are provided to improve the BIM adoption intention of AEC participants during and after the pandemic.

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Longitudinal Study of BIM Adoption by Public Construction Clients

Cited by 41 publications

References 33 publications

Towards the adoption of automated regulatory compliance checking in the built environment

Towards the adoption of automated regulatory compliance checking in the built environment

Construction with digital twin information systems

Exploring the adoption of BIM amidst the COVID-19 crisis in China

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