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Built environment has been perennially caught up in low productivity conundrum for a long time. This is despite its significant impact on industrial employment (i.e. over 6.6% contribution) and representation of 9.8% of the UK's gross domestic product (Rhodes, 2019). Poor collaborative processes through effective information exchanges has been identified as a major reason for this (Crotty, 2013; Kumar, 2015). Besides, the knowledge gap between design and construction has also been cited as a major contributor to this discontinuity (Abrishami et al., 2014; Fruchter et al., 2016; Goulding and Pour Rahimian, 2019; Goulding et al., 2015; Pour Rahimian et al., 2008, 2011, 2019).

Over the years, leading experts from industry and academia (Egan, 1998; Latham, 1994) have contributed to the dissection of the drivers behind this and suggest solutions to address these issues. However, it has taken major developments in digital technologies like the Internet, project extranets, building information modelling (BIM) and IoT among others to generate the kind of optimism that the industry has never experienced before. Built environment is not alone in sharing the excitement around these technologies. These technologies have captured the imagination of just about every industrial sector. Of course, no technology can result in addressing the challenges of any industry on its own. A set of complimentary processes (Goulding et al., 2015; Kumar, 2015) need to be developed in tandem for the technologies to be effective enablers of change. Quite encouragingly, such processes have been developed recently particularly in relation to information management and collaborative working in the built environment sector. These are positive developments and whose veracity and effectiveness will be tested over the next few years.

Meanwhile, the wider world (including the built environment) is experiencing a kind of paradigm shift due to the emergence of the Industry 4.0 revolution. Recent technological and other process-based advances and innovative technologies in the built environment mentioned above have a key role to play in this process. As widely reported in the popular and scientific media, the nine pillars supporting Industry 4.0 are (1) the Internet of Things, (2) big data, (3) augmented reality, (4) advanced visualisation, VR and simulation, (5) additive manufacturing, (6) system integration, (7) cloud computing, (8) autonomous systems and (9) cybersecurity.

In case of the built environment sector, these nine pillars can be said to be underpinned by BIM, widely regarded as the tool of choice to address key issues as industry fragmentation, value-driven solutions, decision-making, client engagement and design/process flow to name but a few. Therefore, it could be argued that the Construction 4.0 has ten pillars which includes the nine Industry 4.0 pillars and BIM. Exemplars from other industries such as automotive, aerospace and oil and gas currently demonstrate the power and application of these technologies. However, built environment has only just started to recognise terms such as “golden key” and “golden thread” as part of BIM processes and workflows. Construction 4.0 offers a portfolio of potential solutions to bridge the knowledge and information gaps between design, construction and operations (Newman et al., 2020; Sawhney et al., 2020).

This has led to the emergence of a series of cutting edge technologies in the AEC realm including but not limited to virtual reality-based collaboration technologies (Pour Rahimian et al., 2019), artificial intelligence-based optimisation (Pilechiha et al., 2020), data-driven decision support (Seyedzadeh et al., 2019), smart data modelling (Pilechiha et al., 2020), blockchain and distributed ledger technologies (Elghaish et al., 2020) and computer vision and graphics (Moshtaghian et al., 2020; Pour Rahimian et al., 2020). Where for example, these advancements are now able to assist decision-making to predict the cost and performance of optimal design proposals (Elghaish and Abrishami, 2020b).

Advancements in cryptography and read-only data management optimisation are paving the way for fully fledged distributed ledger technologies for digital twinning and asset lifecycle management. Previous research has demonstrated real-time centralised solutions for OpenBIM. Collectively, these developments are forcing a paradigm shift in design from asynchronous to real-time data exchanges which are impervious to repudiation, ultimately improving interorganisational perceptions of social presence (Oliver, 2019) and imbuing confidence in the design shift expected of OpenBIM.

This special issue of ECAM brings together eight papers on Construction 4.0 relates topics. These papers are drawn from papers presented at the 36th Annual Conference of the CIB W78 which was held in September 2019 at Northumbria University in Newcastle-upon-Tyne in England. Ghosh et al. (2020) sought to identify and rank the perceived importance level of principal research areas associated with the IoT and the construction industry. Abrishami et al. (2020) addressed the integration and automation of the whole design and implementation process as a pivotal factor in construction projects. Kamunda et al. (2020) identified the fragmentation and inefficiency in the UK water industry project delivery processes which can be addressed by harnessing the collaboration that BIM in water Industry: addressing challenges to improve the project delivery process. Keskin et al. (2020) systematically analysed how BIM transforms complex infrastructure settings (i.e. airports) around digital technologies by enhancing connectivity and collaboration between major stakeholders and construction technology solutions in airport project delivery within BIM-centric construction technology ecosystems. Elghaish and Abrishami (2020a) presented an integration of several methods to support automating risk/reward sharing amongst project parties thus enhancing IPD core team members' relationship by proposing a centralised cost management system and exploiting EVM and ABC within IPD. Charlton et al. (2020) suggested that the adoption of BIM in managing built heritage is an exciting prospect, but one that presents complexities additional to those of modern buildings. Qian and Papadonikolaki (2020) examined how trust is affected by the introduction of blockchain technology in construction supply chain management in shifting trust in construction supply chains through blockchain technology. Getuli et al. (2020) proposed that process management models and information visualization techniques such as BIM and virtual reality (VR) seem to contribute to the advancement of the current safety management practices and propose a safety training protocol based on BIM-enabled VR activity simulations.

Abrishami
,
S.
,
Goulding
,
J.
,
Rahimian
,
F.P.
and
Ganah
,
A.
(
2014
), “
Integration of BIM and generative design to exploit AEC conceptual design innovation
”,
Information Technology in Construction
, Vol.
19
, pp.
350
-
359
.
Abrishami
,
S.
,
Goulding
,
J.S.
and
Pour Rahimian
,
F.
(
2020
), “
Generative BIM workspace for AEC conceptual design automation: prototype development
”,
Engineering, Construction and Architectural Management
. doi: .
Charlton
,
J.
,
Kelly
,
K.
,
Greenwood
,
D.
and
Moreton
,
L.
(
2020
), “
The complexities of managing historic buildings with BIM
”,
Engineering, Construction and Architectural Management
. doi: .
Crotty
,
R.
(
2013
),
The Impact of Building Information Modelling: Transforming Construction
,
Routledge
,
London
,
[PubMed]
.
Egan
,
J.
(
1998
),
Rethinking Construction
,
Department of Environment, Transport and the Region
,
London
,
[PubMed]
.
Elghaish
,
F.
and
Abrishami
,
S.
(
2020a
), “
A centralised cost management system: exploiting EVM and ABC within IPD
”,
Engineering, Construction and Architectural Management
. doi: .
Elghaish
,
F.
and
Abrishami
,
S.
(
2020b
), “
Developing a framework to revolutionise the 4D BIM process: IPD-based solution
”,
Construction Innovation
.
Elghaish
,
F.
,
Abrishami
,
S.
and
Hosseini
,
M.R.
(
2020
), “
Integrated project delivery with blockchain: an automated financial system
”,
Automation in Construction
, Vol.
114
, p.
103182
, doi: .
Fruchter
,
R.
,
Herzog
,
S.
,
Hallermann
,
N.
and
Morgenthal
,
G.
(
2016
), “
Drone site data for better decisions in AEC global teamwork
”,
16th International Conference on Computing in Civil and Building Engineering
,
Osaka
.
Getuli
,
V.
,
Capone
,
P.
and
Bruttini
,
A.
(
2020
), “
Planning, management and administration of HS contents with BIM and VR in construction: an implementation protocol
”,
Engineering, Construction and Architectural Management
. doi: .
Ghosh
,
A.
,
Edwards David
,
J.
and
Hosseini
,
M.R.
(
2020
), “
Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry
”,
Engineering, Construction and Architectural Management
. doi: .
Goulding
,
J.S.
and
Pour Rahimian
,
F.
(
2019
),
Offsite Production and Manufacturing for Innovative Construction: People, Process and Technology
,
Routledge
,
[PubMed]
.
Goulding
,
J.S.
,
Pour Rahimian
,
F.
,
Arif
,
M.
and
Sharp
,
M.D.
(
2015
), “
New offsite production and business models in construction: priorities for the future research agenda
”,
Architectural Engineering and Design Management
, Vol.
11
No.
3
, pp.
163
-
184
, doi: .
Kamunda
,
A.
,
Renukappa
,
S.
,
Suresh
,
S.
and
Jallow
,
H.
(
2020
), “
BIM in the water industry: addressing challenges to improve the project delivery process
”,
Engineering, Construction and Architectural Management
. doi: .
Keskin
,
B.
,
Salman
,
B.
and
Ozorhon
,
B.
(
2020
), “
Airport project delivery within BIM-centric construction technology ecosystems
”,
Engineering, Construction and Architectural Management
. doi: .
Kumar
,
B.
(
2015
),
A Practical Guide to Adopting BIM in Construction Projects
,
Whittles Publishing
,
Dunbeath
,
[PubMed]
.
Latham
,
S.M.
(
1994
),
Constructing the Team: Joint Review of Procurement and Contractual Arrangements in the United Kingdom Construction Industry
,
HMSO
,
London
,
[PubMed]
.
Moshtaghian
,
F.
,
Golabchi
,
M.
and
Noorzai
,
E.
(
2020
), “
A framework to dynamic identification of project risks
”,
Smart and Sustainable Built Environment
. doi: .
Newman
,
C.
,
Edwards
,
D.
,
Martek
,
I.
,
Lai
,
J.
,
Thwala
,
W.D.
and
Rillie
,
I.
(
2020
), “
Industry 4.0 deployment in the construction industry: a bibliometric literature review and UK-based case study
”,
Smart and Sustainable Built Environment
. doi: .
Oliver
,
S.
(
2019
), “
Communication and trust: rethinking the way construction industry professionals and software vendors utilise computer communication mediums
”,
Visualization in Engineering
, Vol.
7
No.
1
, p.
1
, doi: .
Pilechiha
,
P.
,
Mahdavinejad
,
M.
,
Pour Rahimian
,
F.
,
Carnemolla
,
P.
and
Seyedzadeh
,
S.
(
2020
), “
Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency
”,
Applied Energy
, Vol.
261
, p.
114356
, doi: .
Pour Rahimian
,
F.
,
Ibrahim
,
R.
and
Baharudin
,
M.N.
(
2008
), “
Using IT/ICT as a new medium toward implementation of interactive architectural communication cultures
”,
Proceedings - International Symposium on Information Technology
,
ITSim
,
2008
, doi: .
Pour Rahimian
,
F.
,
Chavdarova
,
V.
,
Oliver
,
S.
and
Chamo
,
F.
(
2019
), “
OpenBIM-Tango integrated virtual showroom for offsite manufactured production of self-build housing
”,
Automation in Construction
, Vol.
102
, pp.
1
-
16
, doi: .
Pour Rahimian
,
F.
,
Ibrahim
,
R.
,
Rahmat
,
R.W.B.O.K.
,
Abdullah
,
M.T.B.
and
Jaafar
,
M.S.B.H.
(
2011
), “
Mediating cognitive transformation with VR 3D sketching during conceptual architectural design process
”,
Archnet-IJAR
, Vol.
5
No.
1
, pp.
99
-
113
.
Pour Rahimian
,
F.
,
Seyedzadeh
,
S.
,
Oliver
,
S.
,
Rodriguez
,
S.
and
Dawood
,
N.
(
2020
), “
On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
”,
Automation in Construction
, Vol.
110
, 103012, doi: .
Qian
,
X.
and
Papadonikolaki
,
E.
(
2020
), “
Shifting trust in construction supply chains through blockchain technology
”,
Engineering, Construction and Architectural Management
. doi: .
Rhodes
,
C.
(
2019
),
Construction Industry: Statistics and Policy
,
House of Commons Library
,
available at:
http://researchbriefings.files.parliament.uk/documents/SN01432/SN01432.pdf.
Sawhney
,
A.
,
Riley
,
M.
and
Irizarry
,
J.
(
2020
),
Construction 4.0: An Innovation Platform for the Built Environment
,
Routledge
,
London
,
[PubMed]
.
Seyedzadeh
,
S.
,
Pour Rahimian
,
F.
,
Rastogi
,
P.
and
Glesk
,
I.
(
2019
), “
Tuning machine learning models for prediction of building energy loads
”,
Sustainable Cities and Society
, Vol.
47
, 101484, doi: .

Data & Figures

Contents

Supplements

References

Abrishami
,
S.
,
Goulding
,
J.
,
Rahimian
,
F.P.
and
Ganah
,
A.
(
2014
), “
Integration of BIM and generative design to exploit AEC conceptual design innovation
”,
Information Technology in Construction
, Vol.
19
, pp.
350
-
359
.
Abrishami
,
S.
,
Goulding
,
J.S.
and
Pour Rahimian
,
F.
(
2020
), “
Generative BIM workspace for AEC conceptual design automation: prototype development
”,
Engineering, Construction and Architectural Management
. doi: .
Charlton
,
J.
,
Kelly
,
K.
,
Greenwood
,
D.
and
Moreton
,
L.
(
2020
), “
The complexities of managing historic buildings with BIM
”,
Engineering, Construction and Architectural Management
. doi: .
Crotty
,
R.
(
2013
),
The Impact of Building Information Modelling: Transforming Construction
,
Routledge
,
London
,
[PubMed]
.
Egan
,
J.
(
1998
),
Rethinking Construction
,
Department of Environment, Transport and the Region
,
London
,
[PubMed]
.
Elghaish
,
F.
and
Abrishami
,
S.
(
2020a
), “
A centralised cost management system: exploiting EVM and ABC within IPD
”,
Engineering, Construction and Architectural Management
. doi: .
Elghaish
,
F.
and
Abrishami
,
S.
(
2020b
), “
Developing a framework to revolutionise the 4D BIM process: IPD-based solution
”,
Construction Innovation
.
Elghaish
,
F.
,
Abrishami
,
S.
and
Hosseini
,
M.R.
(
2020
), “
Integrated project delivery with blockchain: an automated financial system
”,
Automation in Construction
, Vol.
114
, p.
103182
, doi: .
Fruchter
,
R.
,
Herzog
,
S.
,
Hallermann
,
N.
and
Morgenthal
,
G.
(
2016
), “
Drone site data for better decisions in AEC global teamwork
”,
16th International Conference on Computing in Civil and Building Engineering
,
Osaka
.
Getuli
,
V.
,
Capone
,
P.
and
Bruttini
,
A.
(
2020
), “
Planning, management and administration of HS contents with BIM and VR in construction: an implementation protocol
”,
Engineering, Construction and Architectural Management
. doi: .
Ghosh
,
A.
,
Edwards David
,
J.
and
Hosseini
,
M.R.
(
2020
), “
Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry
”,
Engineering, Construction and Architectural Management
. doi: .
Goulding
,
J.S.
and
Pour Rahimian
,
F.
(
2019
),
Offsite Production and Manufacturing for Innovative Construction: People, Process and Technology
,
Routledge
,
[PubMed]
.
Goulding
,
J.S.
,
Pour Rahimian
,
F.
,
Arif
,
M.
and
Sharp
,
M.D.
(
2015
), “
New offsite production and business models in construction: priorities for the future research agenda
”,
Architectural Engineering and Design Management
, Vol.
11
No.
3
, pp.
163
-
184
, doi: .
Kamunda
,
A.
,
Renukappa
,
S.
,
Suresh
,
S.
and
Jallow
,
H.
(
2020
), “
BIM in the water industry: addressing challenges to improve the project delivery process
”,
Engineering, Construction and Architectural Management
. doi: .
Keskin
,
B.
,
Salman
,
B.
and
Ozorhon
,
B.
(
2020
), “
Airport project delivery within BIM-centric construction technology ecosystems
”,
Engineering, Construction and Architectural Management
. doi: .
Kumar
,
B.
(
2015
),
A Practical Guide to Adopting BIM in Construction Projects
,
Whittles Publishing
,
Dunbeath
,
[PubMed]
.
Latham
,
S.M.
(
1994
),
Constructing the Team: Joint Review of Procurement and Contractual Arrangements in the United Kingdom Construction Industry
,
HMSO
,
London
,
[PubMed]
.
Moshtaghian
,
F.
,
Golabchi
,
M.
and
Noorzai
,
E.
(
2020
), “
A framework to dynamic identification of project risks
”,
Smart and Sustainable Built Environment
. doi: .
Newman
,
C.
,
Edwards
,
D.
,
Martek
,
I.
,
Lai
,
J.
,
Thwala
,
W.D.
and
Rillie
,
I.
(
2020
), “
Industry 4.0 deployment in the construction industry: a bibliometric literature review and UK-based case study
”,
Smart and Sustainable Built Environment
. doi: .
Oliver
,
S.
(
2019
), “
Communication and trust: rethinking the way construction industry professionals and software vendors utilise computer communication mediums
”,
Visualization in Engineering
, Vol.
7
No.
1
, p.
1
, doi: .
Pilechiha
,
P.
,
Mahdavinejad
,
M.
,
Pour Rahimian
,
F.
,
Carnemolla
,
P.
and
Seyedzadeh
,
S.
(
2020
), “
Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency
”,
Applied Energy
, Vol.
261
, p.
114356
, doi: .
Pour Rahimian
,
F.
,
Ibrahim
,
R.
and
Baharudin
,
M.N.
(
2008
), “
Using IT/ICT as a new medium toward implementation of interactive architectural communication cultures
”,
Proceedings - International Symposium on Information Technology
,
ITSim
,
2008
, doi: .
Pour Rahimian
,
F.
,
Chavdarova
,
V.
,
Oliver
,
S.
and
Chamo
,
F.
(
2019
), “
OpenBIM-Tango integrated virtual showroom for offsite manufactured production of self-build housing
”,
Automation in Construction
, Vol.
102
, pp.
1
-
16
, doi: .
Pour Rahimian
,
F.
,
Ibrahim
,
R.
,
Rahmat
,
R.W.B.O.K.
,
Abdullah
,
M.T.B.
and
Jaafar
,
M.S.B.H.
(
2011
), “
Mediating cognitive transformation with VR 3D sketching during conceptual architectural design process
”,
Archnet-IJAR
, Vol.
5
No.
1
, pp.
99
-
113
.
Pour Rahimian
,
F.
,
Seyedzadeh
,
S.
,
Oliver
,
S.
,
Rodriguez
,
S.
and
Dawood
,
N.
(
2020
), “
On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
”,
Automation in Construction
, Vol.
110
, 103012, doi: .
Qian
,
X.
and
Papadonikolaki
,
E.
(
2020
), “
Shifting trust in construction supply chains through blockchain technology
”,
Engineering, Construction and Architectural Management
. doi: .
Rhodes
,
C.
(
2019
),
Construction Industry: Statistics and Policy
,
House of Commons Library
,
available at:
http://researchbriefings.files.parliament.uk/documents/SN01432/SN01432.pdf.
Sawhney
,
A.
,
Riley
,
M.
and
Irizarry
,
J.
(
2020
),
Construction 4.0: An Innovation Platform for the Built Environment
,
Routledge
,
London
,
[PubMed]
.
Seyedzadeh
,
S.
,
Pour Rahimian
,
F.
,
Rastogi
,
P.
and
Glesk
,
I.
(
2019
), “
Tuning machine learning models for prediction of building energy loads
”,
Sustainable Cities and Society
, Vol.
47
, 101484, doi: .

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