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Despite its benefits, the uptake of 4D planning in the construction industry is slow and therefore there is a need to demonstrate its value over traditional planning technologies. The aim of this paper is to develop a novel approach that demonstrates the value of 4D tools to the construction industry.

The research strategy utilised draws on several social science research methods. The data collection methods employed included a literature review, an open‐ended questionnaire, surveys, semi‐structured interviews and the analysis of historical site records. The data collected were analysed using qualitative and quantitative techniques in order to identify, develop and quantify 4D‐based key performance indicators.

This paper identifies and quantifies 4D‐based key performance indicators using case study analysis. In the case studies it was found that, on average, a 17 per cent increase in planning efficiency were achieved by the use of 4D technology, while the communication efficiency measure illustrated that, on average, a 30 per cent reduction in the time used for meetings was achieved by the use of 4D planning.

The complexity and rapid pace of development in today's construction projects are challenging the industry to find new innovative approaches to delivering projects. 4D tools are emerging as a construction planning technology that addresses some of these challenges. 4D planning has the potential to improve the visualisation of building design and construction, but its implementation in the industry has yet to reach maturity.

The paper highlights technology that enables clients, contractors, planners and sub‐contractors to visualise and understand design and scheduling issues at the early stages of a project.

The current uptake of 4D planning in industry is slow and there is a need to demonstrate its value over traditional planning technologies. The aim of this research study is to develop a novel approach to establish the value of a 4D tool in the construction industry.

The exploratory research strategy draws on several social science research methods to collect information from human subjects. This exploratory research work has used literature review, open‐ended questionnaire, surveys, semi‐structured interviews and historical site records. These have been analysed in order to identify, develop and quantify 4D‐based key performance indicators.

The paper identifies and quantifies 4D‐based key performance indicators. Analysis of the planning efficiency (hit rate percentages) measure on three projects shows that, on an average, a 17 per cent increase in the average industry hit rate was achieved by the use of 4D technology. Also the quantification of communication efficiency measure has shown that on average 30 per cent of meeting time was saved by the use of 4D planning.

The complexity and rapidly paced development of today's projects are challenging the industry to find new innovative approaches to deliver projects. 4D is emerging as a construction‐planning technology to address some of these challenges. 4D planning has the potential to improve visualisation of building design and construction, but its implementation in the industry has yet to reach maturity. This technology enables clients, contractors, planners and sub‐contractors to visualise and understand design and scheduling issues at the early stages of the project.

British construction industry KPI data collected over recent years shows a trend in projects exceeding their time schedules. In 2013, the UK Government set a target for projects timeframes to reduce by 50 per cent. Proposed interventions included more rapid project delivery processes, and consistent improvements to construction delivery predictions, deployed within the framework of 4D Building Information Modelling (BIM). The purpose of this paper is to use Rogers’ Innovation Diffusion theory as a basis to investigate how this adoption has taken place.

In total, 97 construction planning practitioners were surveyed to measure 4D BIM innovation take-up over time. Classic innovation diffusion research methods were adopted.

Results indicated an increasing rate of 4D BIM adoption and reveal a time lag between awareness and first use that is characteristic of this type of innovation.

Use of a non-probability sampling strategy prevents the results being generalisable to the wider construction population. Future research directions and methods are suggested, including qualitative investigations into decision-making processes around 4D BIM, and case studies exploring the consequences of 4D BIM adoption.

Recommendations of how to facilitate the adoption of 4D BIM innovation are proposed, which identify the critical aspects of system compatibility and safe trialling of the innovation.

This paper reinforces 4D BIM as an innovation and records its actual UK industry adoption rate using an accepted diffusion research method. By focusing on UK industry-wide diffusion the work also stands apart from more typical research efforts that limit innovation diffusion exploration to individual organisations.

This research aims to develop an automated and optimization algorithms (OAs)-integrated 4D building information modeling (BIM) approach and a prototype and enable construction managers and practitioners to estimate the time of compound elements in building projects using the resource specification technique.

A 4D BIM estimation process was first developed by applying the resource specification and geometric information from the BIM model. A suite of OA including particle swarm optimization, ant colony, differential evolution and genetic algorithm were developed and compared in order to facilitate and automate the estimation process. The developed processes and porotypes were linked and integrated.

The OA-based automated 4D BIM estimation prototype was developed and validated through a real-life construction project. Different OAs were applied and compared, and the genetic algorithm was found as the best performing one. The prototype was successfully linked with BIM timeliner application. By using this approach, the start and finish dates of all object-based activities are developed, and the project completion time is automatically estimated.

Unlike conventional construction estimation methods which need various tools and are error prone and time-consuming, the developed method bypasses the existing time estimation tools and provides the integrated and automated process with BIM and machine learning algorithms. Furthermore, this approach integrates 4D BIM applications into construction design procedures, connected with OA automation.

Rehearsing practical site operations is without doubt one of the most effective methods for minimising planning mistakes, because of the learning that takes place during the rehearsal activity. However, real rehearsal is not a practical solution for on‐site construction activities, as it not only involves a considerable amount of cost but can also have adverse environmental implications. One approach to overcoming this is by the use of virtual rehearsals. The purpose of this paper is to investigate an approach to simulation of the motion of cranes in order to test the feasibility of associated construction sequencing and generate construction schedules for review and visualisation.

The paper describes a system involving two technologies, virtual prototyping (VP) and four‐dimensional (4D) simulation, to assist construction planners in testing the sequence of construction activities when mobile cranes are involved. The system consists of five modules, comprising input, database, equipment, process and output, and is capable of detecting potential collisions. A real‐world trial is described in which the system was tested and validated.

Feedback from the planners involved in the trial indicated that they found the system to be useful in its present form and that they would welcome its further development into a fully automated platform for validating construction sequencing decisions.

The tool has the potential to provide a cost‐effective means of improving construction planning. However, it is limited at present to the specific case of crane movement under special consideration.

This paper presents a large‐scale, real life case of applying VP technology in planning construction processes and activities.

The purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).

IDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.

The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.

DRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.

The research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.

The education sector is at the forefront of developing tomorrow’s construction professionals. It is therefore important that with the current rate of change in the construction industry, education curriculum should be seen to be relevant. An area that is revolutionising the construction industry is the use of Building Information Modelling (BIM), including its potential for improving H&S on construction sites. This paper aims to focus on the perception of higher education (HE) students on the potential impact of 4D modelling on the management of site health and safety on construction sites.

A quasi-experimental approach was adopted to determine student’s perception of the extent to which 4D modelling and simulation can impact H&S management. Pre-test and post-test students’ perceptions of the value of 4D to management of health and safety were compared.

The influence of education was examined by using two main students groups, one group studying BIM modules within their course while the other group did not. Although minimal perception differences regarding key impacts of 4D were highlighted, the awareness differences were significant. The study demonstrated the perception of benefits regarding 4D for H&S being in the planning of site logistics, visualisation, programme accuracy and risk reduction. The study highlights the importance of relevant education, to increase awareness of 4D for Health and Safety.

While most of the studies reported in academic literature on education and training related to university/tertiary education, this study focused on the higher education level students. It considered this as an equally important cohort as the graduates will also contribute to health and safety management on construction sites. The study also demonstrated the value of including technology based H&S training to mirror developments in the construction industry.

Virtual Reality (VR) based training is an efficient and promising digital tool. In the construction industry, studies have been conducted on the realisation of VR scenarios for construction operations, but the challenges lie in procedural scenario creation based on the knowledge and digital data of the construction project. The purpose of this paper is to address this issue.

A new system and interface allowing an automatic generation of a VR scenario for operating procedure (OP) based on 4D Building Information Modelling (BIM) and tasks authoring by the domain experts are presented. The first process, Automatic Scenario Generation, generates assembly tasks based on the BIM metadata. The second process, Expert Scene and Scenario Authoring, allows adding tasks that cannot be modeled in the BIM OP.

With the 4D BIM methodology, the 3D model of building as well as the 3D OPs contain a time dimension representing the construction phases or planning. The evolution in time of the construction site and the tools and procedures adapted to each construction project must be integrated in the VR simulations. Moreover, domain experts should have control over the scenario and should be able to author tasks assigned to the operator in training.

A Unified Modeling Language based framework allows the reuse of BIM metadata to create the scene, VR interactions and the assembly procedure; the assembly procedure is embedded in the virtual environment considering the time (4D) in the construction of the building and is used as a training scenario for the operator; and the training scenario can be refined by adding operational knowledge, such as quality.

The purpose of this paper is to facilitate the process of monitoring construction projects. Classic practice for construction progress tracking relies on paper reports, which entails a serious amount of manual data collection as well as the effort of imagining the actual progress from the paperwork.

This paper presents a new methodology for monitoring construction progress using smartphones. This is done by proposing a new system consisting of a newly-developed application named “BIM-U” and a mobile augmented reality (AR) channel named “BIM-Phase”. “BIM-U” is an Android application that allows the end-user to update the progress of activities onsite. These data are used to update the project’s 4D model enhanced with different cost parameters such as earned value, actual cost and planned value. The “BIM-Phase” application is a mobile AR channel that is used during construction phase through implementing a 4D “as-planned” phased model integrated with an augmented video showing real or planned progress.

The results from the project are then analysed and assessed to anticipate the potential of these and similar techniques for tracking time and cost on construction projects.

The proposed system through “BIM-U” and “BIM Phase” exploits the potential of mobile applications and AR in construction through the use of handheld mobile devices to offer new possibilities for measuring and monitoring work progress using building information modelling.

This research has been conducted with a view to creating a framework to integrate risk management based on building information modeling (BIM) information.

In this research, all the information related to the construction of a residential project including 3D, 4D and 5D BIM models and the execution and control phases information was collected, and the risk list was determined for each activity accordingly.

The present study has suggested a framework for risk management in order to optimize project changes.

The lack of integration between 3D, 4D and 5D modeling besides execution information is a fundamental problem in many projects. The gap between these two groups of information will lead to improper management and late decisions, eventually imposing unforeseen delays and cost overruns. Risk management by the means of adopting a new approach has been addressed in recent studies using new methods, such as BIM and its associated technologies, some of which were mentioned in the review of theoretical literature in this research.