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This paper reports some interim findings from organisational research into site fire safety which looks at the relevance of Contractor and Facilities Manager attitudes to safety as a component of the overall safety process. Presents a discussion on some of the practical problems associated with Facilities Managers managing the maintenance of fire safety during alterations works. Commences with an illustration of the Facilities Management context of site fire safety that draws upon a number of relevant fire events. It is intended to provoke a wider debate on the relevance of the Facilities Management role in protecting the business. A Project Safety Plan checklist is suggested for Facilities Managers, based on the authors’ review of existing construction site fire safety guidance and codes of practice. Explores a broadening of the Facilities Management role, as interface manager, which in most cases of refurbishment and alterations will constitute the common managerial link to the core business.

Obtaining building permit certificate is an essential component of construction endeavors, but it can be cumbersome sometimes. The process is frequently beset with obstacles, including bureaucratic impediments, red-tapism, prolonged authorization protocols and insufficient inter-agency collaboration which result in project timeline extension, cost escalation and applicant dissatisfaction. Therefore, this study aims to examine customer satisfaction with the assessment of building construction permit certificates in Lalitpur, Nepal.

Following the notion of evaluation model theory, this study adopts an explanatory research design to determine the causal relationship between latent and observed variables. People who have recently completed the construction of their building and those people whose construction work is pending make up the population for the study. A total of 198 samples were collected by following the convenience sampling method from Lalitpur, Nepal. The primary data are collected by using the structured questionnaire with the interview process where the data are statistically evaluated using descriptive and inferential analysis using the KOBO toolbox, SPSS and AMOS. The connection between variables was examined using structural equation modeling (SEM).

Results indicate that the negligence of the employees, the attitude of the employees, the need for additional costs and the hiring of the agent are the most significant obstacles encountered by customers during the process of getting construction permit. Regarding the whole assessment system, the general population expresses displeasure. SEM results indicate that environment and quality are significantly related to customer satisfaction.

This paper's novelty lies in its Nepal-specific inquiry into the relationship between building permit acquisition procedures and customer contentment. The study provides a distinctive viewpoint on this context by combining evaluation model theory and SEM. The localized approach emphasizes the importance of customized strategies to improve customer satisfaction, adding to the current literature on the subject. The study's use of SEM as a quantitative analysis tool enhances its methodological rigor. This interdisciplinary research offers valuable insights for academics, practitioners and policymakers in Nepal and contributes to the wider field of construction and customer satisfaction.

The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital skin of the future smart construction site.

The paper provides a systematic and hierarchical classification of 114 articles from both industry and academia on the digital skin concept and evaluates them. The hierarchical classification is based on application areas relevant to construction, such as augmented reality, building information model-based visualisation, labour tracking, supply chain tracking, safety management, mobile equipment tracking and schedule and progress monitoring. Evaluations of the research papers were conducted based on three pillars: validation of technological feasibility, onsite application and user acceptance testing.

Technologies learned about in the literature review enabled the envisaging of the pervasive construction site of the future. The paper presents scenarios for the future context-aware construction site, including the construction worker, construction procurement management and future real-time safety management systems.

Based on the gaps identified by the review in the body of knowledge and on a broader analysis of technology diffusion, the paper highlights the research challenges to be overcome in the advent of digital skin. The paper recommends that researchers follow a coherent process for smart technology design, development and implementation in order to achieve this vision for the construction industry.

The purpose of this paper is to present an exploratory study which aims to assess the potential use of 3D mapping of buildings and construction sites using unmanned aerial system (UAS) imagery for supporting the construction management tasks.

The case studies were performed in two different residential construction projects. The equipment used was a quadcopter equipped with digital camera and GPS that allow for the registry of geo-referenced images. The Pix4D Mapper and PhotoScan software were used to generate the 3D models. The study sought to examine three main constructs related to the 3D mapping developed: the easiness of development, the quality of the models in accordance with the proposed use and the usefulness and limitations of the mapping for construction management purposes.

The main contributions of this study include a better understanding of the development process of 3D mapping from UAS imagery, the potential uses of this mapping for construction management and the identification of barriers and benefits related to the application of these emerging technologies for the construction industry.

The importance of the study is related to the initiative to identify and evaluate the potential use of 3D mapping from UAS imagery, which can provide a 3D view of the construction site from different perspectives, for construction management tasks applications, trying to bring positive contributions to this knowledge area.

Materials supply is one of the important elements in construction operation and a major factor affecting the quality of construction projects. Many industries look to manage materials effectively by attempting to integrate logistics processes into logistics chains of suppliers and customers. Logistics processes, being crucial for successful completion of construction projects, but in fact, auxiliary, are often entrusted to external professionals specialised in logistic services, such as logistics centres. However, this tendency is yet to be developed in construction. The purpose of this paper is to develop a simulation framework for the examination of potential improvements of logistics performance using logistics centres.

A case study approach was adopted with computer simulation using Flexsim. Data of vehicle movements were collected during construction on-site from the start of construction to “hand-over” to the building owner.

The ideal location of a logistics centre is identified using vehicle movements data collected on the site. The potential improvements of the planned centre are then evaluated by simulating various scenarios of vehicle movements. The enclosed results from the simulations indicate that using a logistics centre will reduce waste for the construction project considered.

The paper emphasises that creating a logistics centre for a project can improve construction logistics performance, by consolidating and optimizing both off-site and on-site logistics, especially when the site condition is prohibitive (small footprint with limited loading bay area). Establishing logistics centres may help find ways of making the overall construction project more effective by improving the management of materials.

The practice of artificial intelligence (AI) is increasingly being promoted by technology developers. However, its adoption rate is still reported as low in the construction industry due to a lack of expertise and the limited reliable applications for AI technology. Hence, this paper aims to present the detailed outcome of experimentations evaluating the applicability and the performance of AI object detection algorithms for construction modular object detection.

This paper provides a thorough evaluation of two deep learning algorithms for object detection, including the faster region-based convolutional neural network (faster RCNN) and single shot multi-box detector (SSD). Two types of metrics are also presented; first, the average recall and mean average precision by image pixels; second, the recall and precision by counting. To conduct the experiments using the selected algorithms, four infrastructure and building construction sites are chosen to collect the required data, including a total of 990 images of three different but common modular objects, including modular panels, safety barricades and site fences.

The results of the comprehensive evaluation of the algorithms show that the performance of faster RCNN and SSD depends on the context that detection occurs. Indeed, surrounding objects and the backgrounds of the objects affect the level of accuracy obtained from the AI analysis and may particularly effect precision and recall. The analysis of loss lines shows that the loss lines for selected objects depend on both their geometry and the image background. The results on selected objects show that faster RCNN offers higher accuracy than SSD for detection of selected objects.

The results show that modular object detection is crucial in construction for the achievement of the required information for project quality and safety objectives. The detection process can significantly improve monitoring object installation progress in an accurate and machine-based manner avoiding human errors. The results of this paper are limited to three construction sites, but future investigations can cover more tasks or objects from different construction sites in a fully automated manner.

This paper’s originality lies in offering new AI applications in modular construction, using a large first-hand data set collected from three construction sites. Furthermore, the paper presents the scientific evaluation results of implementing recent object detection algorithms across a set of extended metrics using the original training and validation data sets to improve the generalisability of the experimentation. This paper also provides the practitioners and scholars with a workflow on AI applications in the modular context and the first-hand referencing data.

In this study, a critical literature review was utilized in order to provide a clear review of the relevant existing studies. The literature was analyzed using the meta-synthesis technique to evaluate and integrate the findings in a single context.

Digital transformation in construction requires employing a wide range of various technologies. There is significant progress of research in adopting technologies such as unmanned aerial vehicles (UAVs), also known as drones, and immersive technologies in the construction industry over the last two decades. The purpose of this research is to assess the current status of employing UAVs and immersive technologies toward digitalizing the construction industry and highlighting the potential applications of these technologies, either individually or in combination and integration with each other.

The key findings are: (1) UAVs in conjunction with 4D building information modeling (BIM) can be used to assess the project progress and compliance checking of geometric design models, (2) immersive technologies can be used to enable controlling construction projects remotely, applying/checking end users’ requirements, construction education and team collaboration.

A detailed discussion around the application of UAVs and immersive technologies is provided. This is expected to support gaining an in-depth understanding of the practical applications of these technologies in the industry.

The review contributes a needed common basis for capturing progress made in UAVs and immersive technologies to date and assessing their impact on construction projects. Moreover, this paper opens a new horizon for novice researchers who will conduct research toward digitalized construction.

Construction suffers from “peculiarities” that concern the temporary natures of the construction site, project teams and unique product design. Considering the digital transformation of construction, new solutions are being investigated that can provide consistent data between changing projects. One such source of data manifests in the tracking of logistics activities across the supply chain. Construction logistics is traditionally considered a site management activity focused solely on the “back end” of projects, but an expanded logistics focus can unlock new avenues of improvement. This study aims to understand the requirements and benefits of such a consistent thread of data.

From a research project with one of Australia’s largest contracting companies, this paper details a series of construction tracking tests as an empirical case study in using Bluetooth low energy aware tracking technology to capture data across the manufacture, delivery and assembly of a cross-laminated timber structural prototyping project.

The findings affirm the tracking of expanded logistics data can improve back-end performance in subsequent projects while also demonstrating the opportunity to inform a project’s unique front-end design phase. The case study demonstrates that as the reliability, range and battery life of tracking technologies improve, their incorporation into a broader range of construction activities provides invaluable data for improvement across projects.

As a live case study, this research offers unique insights into the potential of construction tracking to close the data loop from final site assembly back to the early project design phase, thus driving continual improvement from a holistic perspective.

Aims to examine the impact of health and safety legislation emanating from the European Community and to analyse what effect, if any, it will have on British occupational health and safety law. An examination of the social action programmes shows that the pace of change has increased rapidly since the Single European Act was incorporated into the Treaty of Rome and became operative from July 1987. Because of rapid changes that are occurring on a broad front there was a need to be selective. Emphasizes to some extent, therefore, the construction industry because it would appear that European legislation is likely to have a major impact on British law and practice in this industry.

Construction activities generate noise that is harmful to workers and the neighbouring community. Engineering control methods are often used for its control which are expensive and limited in effectiveness. This study aims to investigate factors that affect employee behaviour and how it could be used by construction companies to manage noise pollution on sites.

Norm Activation Model (NAM) is used to investigate the relationship between attitudes and behaviour of site-based employees using a questionnaire survey administered in Colombo, Sri Lanka. The responses were analysed using structural equation modelling to discern behavioural patterns and how it differs between managers and workers.

The results showed that behaviour of site employees could be influenced when they are aware of the consequences of noise pollution and take responsibility for its control. Personal norm of an employee and company's environmental behaviour are found to influence the behaviour in a positive manner.

Construction companies should focus more on how to harness their employee's behaviour in order to reduce noise pollution on sites. Employees should be made aware of consequences of noise pollution and feel responsible for their actions through training, awareness campaigns, signage and so on.

This study contributes to the literature by building a theoretical model of employee noise control behaviour in construction organizations and empirically testing it among managers and workers. It compares the differences between these two groups which enhances one’s understanding of behavioural control methods when applied in a construction project setting. The study also evaluates the effects of company's environmental behaviour on employee behaviour.