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The study aims to test, measure and quantify the impacts of lean construction and BIM implementation on flow in construction projects.

Detailed control data from a set of 18 high-rise residential construction projects executed between years 2011 and 2020 were analyzed using the construction flow index (CFI), a measure of workflow quality. Seven comparable projects with a diverse range of LPS, BIM, VDC and 5S implementation were selected to compare the impacts of these innovations on flow.

Implementing BIM in the big room and applying the last planner system and other lean construction techniques increased the CFI from 4.31 to 8.12 (on a 10-point scale). Avoiding trades crossing one another's paths between tasks was the most significant aspect of improved flow. Moreover, the benefits of implementing lean practices with BIM or VDC were found to be measurably greater than when these approaches were implemented separately.

The primary limitation of the study is that the degree of confidence in the results is limited by the nature of the case study approach. Although 18 is a respectable number of case study projects, it cannot offer the degree of confidence that a broader, representative sample of projects could. Similarly, the case studies are all drawn from the same construction context (residential apartments) and the same geographic region, which necessarily limits confidence concerning the degree to which the findings can be generalized.

The research is the first of its kind to quantitatively assess the impacts of BIM and lean construction on flow. Use of the CFI to quantify flow quality also highlights the potential value of CFI in providing project managers and planners a clear view of the smoothness or irregularity of flow and of differences between subcontractors' production rates.

The paper aims to identify the effective constructability methods and tools that should be applied during the early project design stages to prevent specific constructability failures regarding project context.

Seventeen basic constructability problems were defined, 12 constructability implementation methods for investigation were selected, and a general tool representing potential causal connections between the problems and the methods that could prevent them was developed. A comparative case study was conducted through a rigorous investigation of the construction documentation of four major building construction projects. Nearly four hundred constructability problems were identified. The tool developed was used to draw conclusions about the preferred constructability methods, in general, and with respect to specific project contexts.

The managerial approach offers the best methods for preventing constructability problems. The major methods that emerged were (1) assigning a constructability champion, (2) facilitating the involvement of the general contractor early in the design process, and (3) augmenting design quality control. At the other end of the scale, methods such as company procedures and owner involvement were found to be the least effective.

The paper offers the ability to relate constructability problems to preventive mechanisms and to identify the appropriate steps to be taken to resolve these problems. The mechanism described here can be used by construction companies that keep failure data within accounting files to check projects in retrospect and draw lessons from them to be implemented in future projects.

This paper aims to review the status of development of building information modelling (BIM), its trends and themes across the six continents of the world.

A total of 914 journal articles sought from the search engine of Web of Science (WOS) based on the country/region option of the WOS to group them into continents. A best-fit approach was then applied in selecting the suitable software programmes for the scientometric analysis and comparisons and deductions were made.

The findings revealed that there are differences in the development of BIM across the six continents of the world. South America and Africa are lagging in the BIM research and Australia and Asia are growing, whilst Europe and North America are ahead. In addition, there exist differences in the research themes and trends in these continents as against the single view presented in extant studies.

This study introduced a new approach to carry out a comparative and taxonomic review and has provided both academic researchers and industrial practitioners with a clear status of development of BIM research and the trend across the six continents of the world.

In recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector.

Employing a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords.

The findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”.

This study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject.

This study aims to thoroughly explore and visualize the trends and developments of digital twin (DT) literature in the construction field while revealing future research directions for further exploration and exploitation.

The research follows a three-stage methodology. First, the bibliographic data is acquired using the Web of Science database. Second, the bibliometric methods are defined to include co-authorship analysis, citation analysis, keywords co-occurrence, thematic mapping while the software tools include MS Excel, VOSviewer and Biblioshiny. Third, analysis and findings include yearly DT publication output, influential DT publications, leading DT contributors, top DT sources and science mapping of DT literature.

This study identifies top-cited DT publications (35 out of 320) in terms of citations score, local citations score and document average citations per year. Furthermore, the key contributors with respect to authors (58 out of 1147), organizations (55 out of 427) and countries (19 out of 51) are recognized in terms of productivity, influence, activeness and scientific value. Similarly, the major publishing sources (24 out of 58) are identified using the same measures. Regarding science mapping, the DT domain comprises four research frontiers, namely, deep learning and smart city, internet of things and blockchain, DT and building information modeling and machine learning and asset management.

Through a mixed-review strategy, this study introduces a comprehensive analysis of DT literature while avoiding the subjectivity/cognitive bias of traditional review approaches. Moreover, it illuminates the promising and rising DT themes for new/seasoned researchers, institutions, editorial boards and funding agencies.

Architecture, engineering and construction (AEC) is an important industry worldwide and one of the largest economic sectors in several developing countries, particularly in Iran. The Iranian AEC sector suffers from low productivity and needs to adopt building information modeling (BIM) to reduce inefficiencies. Therefore, this paper was conducted to identify the BIM barriers and propose practical solutions to overcome them in Iran.

A comprehensive literature review, two rounds of the Delphi technique and semi-structured interviews with 12 Iranian experts in the AEC sector were conducted. The data were analyzed using the mean score, standard deviation and nonparametric tests.

The present study identified 26 BIM barriers in the Iranian AEC community and provided practical strategies for improving BIM adoption. The identified barriers were categorized into six main groups including source barriers, financial barriers, unawareness barriers, organizational barriers, regulatory barriers and market-demand barriers. The main three BIM barriers in Iran were the lack of government intervention, change-resistant and the gap between industry and academia. Kruskal–Wallis tests revealed that there are no statistically significant differences in perceptions of BIM barriers between respondents. The Mann–Whitney test indicated that there is no statistically significant difference in perceptions between engineers and architects except for one.

There are few studies on BIM adoption across developing countries, particularly in Iran. Moreover, the results can also be used in other developing nations with similar conditions.

This study addresses the critical imperative of quantifying building information modeling (bimalliance) benefits by augmenting existing methodologies, with a focus on monetization. Engaging industry practitioners, the research develops a comprehensive framework through an exhaustive literature review and a survey in the Swedish construction industry, incorporating insights from 128 respondents.

The framework, validated by industry experts, systematically assesses tangible BIM benefits against associated costs. It introduces a novel method in construction, addressing the lack of a unified approach. The resulting framework facilitates nuanced feasibility determinations by systematically evaluating BIM benefits against costs.

Despite its acknowledged limitations, the framework effectively captures a comprehensive range of costs and benefits, providing a more accurate and detailed estimation of BIM’s impact on project outcomes.

With practical implications, the framework enhances BIM understanding and application, contributing to effective project management throughout the construction supply chain lifecycle. Moreover, it aims to improve efficacy within the architecture, engineering, construction and operations industry.

The study empowers organizations and decision-makers with a bespoke tool for evaluating BIM feasibility, contributing to decision-making through a clarified numerical representation.