Showing papers in "Engineering, Construction and Architectural Management in 2019"

Cyber threats confronting the digital built environment: Common data environment vulnerabilities and block chain deterrence

Abstract: Smart cities provide fully integrated and networked connectivity between virtual/digital assets and physical building/infrastructure assets to form digital economies. However, industrial espionage, cyber-crime and deplorable politically driven cyber-interventions threaten to disrupt and/or physically damage the critical infrastructure that supports national wealth generation and preserves the health, safety and welfare of the populous. The purpose of this paper is to present a comprehensive review of cyber-threats confronting critical infrastructure asset management reliant upon a common data environment to augment building information modelling (BIM) implementation.,An interpretivist, methodological approach to reviewing pertinent literature (that contained elements of positivism) was adopted. The ensuing mixed methods analysis: reports upon case studies of cyber-physical attacks; reveals distinct categories of hackers; identifies and reports upon the various motivations for the perpetrators/actors; and explains the varied reconnaissance techniques adopted.,The paper concludes with direction for future research work and a recommendation to utilize innovative block chain technology as a potential risk mitigation measure for digital built environment vulnerabilities.,While cyber security and digitization of the built environment have been widely covered within the extant literature in isolation, scant research has hitherto conducted an holistic review of the perceived threats, deterrence applications and future developments in a digitized Architecture, Engineering, Construction and Operations (AECO) sector. This review presents concise and lucid reference guidance that will intellectually challenge, and better inform, both practitioners and researchers in the AECO field of enquiry.

Digital skin of the construction site: Smart sensor technologies towards the future smart construction site

Abstract: Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

BIM adoption model for small and medium construction organisations in Australia

Abstract: The purpose of this paper is to present a model for building information modelling (BIM) implementation at small and medium-sized construction contractor organisations (SMOs). The proposed BIM adoption model assesses BIM implementation benefits, costs and challenges faced by SMOs. Correlation between BIM adoption in SMOs and the associated impacting factors, including knowledge support and BIM adoption motivation, is captured through the model.,A literature review of BIM adoption in construction was first presented. Research data, collected from 80 SMOs in Australia through a conducted survey, are then analysed. Descriptive analysis and structural equation modelling were used to investigate SMOs’ understanding of BIM, and to qualify the correlations among the proposed latent variables impacting BIM implementation at SMOs, respectively. Additionally, this study used χ2 test to compare differences between BIM users and non-BIM users regarding BIM understanding, interested applications and attitudes towards implementation benefits and challenges.,Potential benefits associated with BIM implementation are a major motivation factor when it comes to BIM adoption at SMOs. In addition, existing staff’s capability in using BIM tools positively affects the establishment of an organisational knowledge-support system, which determines the decision of adopting BIM eventually. Ultimately, there is a need for further emphasis on staff engagement in the implementation process.,The results presented in this paper are applicable to SMOs in the building sector of construction. BIM implementation at organisations involved in non-building activities, including civil works and infrastructure, needs to be assessed in the future.,The results indicate that rather than placing the focus mainly on benefits of BIM implementation, successful implementation of BIM in practice requires adequate effort to assess implementation problems, establish knowledge support and engage staff in using BIM.,Results of this study provide an insight into the adoption challenges of BIM in SMOs, given that the focus of previous studies has been mostly placed on BIM adoption in architectural firms and large contractors.

Adoption of building information modeling in Chinese construction industry: The technology-organization-environment framework

Abstract: Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence the AEC’s adoption of BIM will benefit the research and practice of BIM. The paper aims to discuss these issues.,This study provides empirical evidence for the accumulated knowledge of BIM adoption by examining the context of Chinese construction industry. Based on the technology-organization-environment (TOE) framework in the innovation diffusion literature, the authors develop a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry. The authors collected two different data sets from engineering consulting firms and construction firms in China, and conducted rigorous analyses using a sophisticated statistical approach.,The authors found that the relative advantage of BIM was a major factor that enabled BIM adoption, while the complexity of BIM was an inhibiter. In addition, management support was also a significant antecedent of BIM adoption. However, organizational readiness was significant for engineering consulting firms but not for construction firms. Surprisingly, the authors did not find consistent significant impacts of any environmental factors. Last, younger firms were more likely to adopt BIM.,One of the first to apply the TOE framework to integrate three groups of factors that may explain BIM adoption in China. Such a comprehensive framework provides a much broader perspective of BIM adoption to evaluate the impacts of different antecedent factors. The authors conducted an empirical study based on survey data collected from two different types of companies, i.e., engineering consulting firms and construction firms, representing the two parties in the principal-agent relationship of a construction project. One of the first to apply a sophisticated statistical approach, i.e., partial least squares, to analyze the data in the BIM literature.

Green and sustainable practices in the construction industry: A confirmatory factor analysis approach

Abstract: The purpose of this paper is to differentiate between sustainable and green construction and significantly contribute to empirical investigations related to the impact of green construction factors on sustainable performance and to test the theory of planned behavior in the construction context and empirically assess green construction factors and the performance model. The model incorporates green construction factors that link construction activities with suppliers and customers to support environmental sustainability.,Data collected from 120 construction industry respondents were analyzed using exploratory factor analysis, which identified seven green construction factors. Two conformity factor analysis models were created to test the relationship fitness of the components and measure the impact of green construction factors on the sustainable performance of the construction.,The results provide substantial evidence that shows that the adoption of green construction factors by construction firms leads to improved sustainable performance. The overall perspective of respondents within the construction industry, according to the questionnaire survey, shows that the benefits, such as an improved corporate image and sustainable competitive advantage, increase compliance with customers’ expectations within the construction industry.,This study covered private construction companies and measured the construction industry professional’s feedback without including the clients.,The results of this study will support the future success of ecological sustainability and green construction initiatives, mainly on enforcement and incentives; moreover, the results of this study will ensure that regulations will cover green practices for all types of projects and will be formally monitored for compliance.,The originality of this paper stems from drawing boundaries between green and sustainable construction and exploring the impact of green management on the sustainable performance of the construction industry. Most of the related previous works have used the concepts of green and sustainability interchangeably, and there is a lack of studies in this regard, particularly in the construction industry.

Scientometric Analysis of BIM-based Research in Construction Engineering and Management

Abstract: The purpose of this paper is to summarize the latest research of BIM adoption in construction engineering and management (CEM) and propose research directions for future scholarly work. During the recent decade, building information modeling (BIM) has gained increasing applications and research interest in the construction industry. Although there have been review-based studies that summarized BIM-based research in the overall architecture, engineering and construction (AEC) area, there is limited review that evaluates the current stage of BIM-based research specifically in the CEM sub-area.,CEM falls into the scope of AEC. It involves construction-related tasks, activities and processes (e.g. scheduling and cost estimates), issues (e.g. constructability), as well as human factors (e.g. collaboration). This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 276 articles related to BIM applied in CEM were selected from Scopus as the literature sample for the scientometric analysis.,Some key CEM research areas (e.g. CEM pedagogy, integrated project delivery, lean and off-site construction) were identified and evaluated. Research trends in these areas were identified, and analyses were carried out with regard to how they could be integrated with BIM. For example, BIM, as a data repository for ACE facilities, has substantial potential to be integrated with a variety of other digital technologies, project delivery methods and innovative construction techniques throughout the whole process of CEM.,As BIM is one of the key technologies and digital platforms to improve the construction productivity and collaboration, it is important for industry practitioners to be updated of the latest movement and progress of the academic research. The industry, academics and governmental authorities should work with joint effort to fill the gap by first recognizing the current needs, limitations and trends of applying BIM in the construction industry. For example, it needs more understanding about how to address technical interoperability issues and how to introduce the integrated design and construction delivery approach for BIM implementation under the UK BIM Level 2/3 framework.,This study contributed to the body of knowledge in BIM by proposing a framework leading to research directions including the differences of BIM effects between design-bid-build and other fast-track project delivery methods; the integration of BIM with off-site construction; and BIM pedagogy in CEM. It also addressed the need to investigate the similarities and differences between academia and industry toward perceiving the movement of BIM in construction field work.

Post-occupancy evaluation: a review of literature

Abstract: Purpose The purpose of this paper is to analyse extant literature on POE of a building’s operations and performance as a means of holistically mapping the existing body of knowledge (BOK); identify impediments preventing its wide-scale adoption throughout practice; and develop new theory that seeks to integrate digital technologies (such as building information modelling (BIM)) within facilities management (FM) via a POE feedback mechanism. Design/methodology/approach An inductive and interpretivist methodological approach is adopted that utilises a mixed methods systematic review to map bibliometric data on the POE, associated underpinning processes and benchmarking facilities. Publication and citation metrics are produced via the software VOSviewer to determine the extent to which POE interrelates with other fields of study (namely, digital technologies and FM). Findings The BOK accrued illustrates that whilst POE has received comparatively scant academic attention in comparison to other fields of study, interest in the area is growing. The work also identifies that a stronger community of practice (CoP) is needed (that comprises of academics and practitioners) to ensure that a consistent approach to POE implementation is developed and that the barriers to POE implementation are addressed. Originality/value Findings presented accentuate the need for design practitioners to reverse engineer POE implementation to inform future design vis-a-vis simply reporting upon an existing building’s performance post construction. Other new theories are also introduced as a means of engendering wider academic discourse in this field of science.

Barriers to BIM implementation strategies in China

Abstract: Effective BIM application hinges on the development of appropriate strategies for its implementation. Though some strategies have been deployed to facilitate BIM implementation in China, their outcomes are not clear. The purpose of this paper is to provide recommendations regarding appropriate strategies for promoting the development and implementation of BIM in China based on lessons learned from advanced implementation experiences in other countries.,First, existing strategies are investigated and barriers to BIM implementation mentioned in previous studies are summarized. Then, the identified barriers are mapped to the strategy contents. Finally, a comparative analysis on different areas is conducted to propose suggestions for identified items of BIM implementation strategies that need to be improved.,Six unaddressed barriers to BIM implementation strategies in China were identified from the mapping results: insufficient government lead/direction, organizational issues, legal issues, high cost of application, resistance to change of thinking mode and insufficient external motivation.,The findings of this study can be used to facilitate the development of appropriate strategies within the public and private sectors for promoting BIM implementation in China and elsewhere.

Managing information flow and design processes to reduce design risks in offsite construction projects

Abstract: Following the increasing need for faster construction, improved quality and evidence value propositions, offsite construction is increasingly being proffered as a viable contender to “traditional” construction approaches. However, whilst evidence supports the move towards offsite, its uptake has been lower than expected. Whilst the precise reasons for this seem to be influenced by a number of issues, including contextual drivers and market maturity; some project stakeholders also view offsite as carrying greater risks. The purpose of this paper is to report on the quality of information flow, in particular, the impact and influence of this on design risks in offsite construction projects.,An existing design risk framework is used as the point of departure for this research. This is further expanded into a specific model for evaluating offsite construction projects design risks, the rubrics of which were informed by two case studies of offsite construction projects in Australia and the UK analysed with a process-tracing technique. Whilst these cases were geographically separated, the constructs were aligned to uncover fundamental design information requirements and concomitant risks associated with offsite.,The findings of the research reported in this paper include the crucial information feeding into the design process emanating from the lifecycle of offsite construction projects, namely, design, offsite (manufacturing), handling and transporting, site works and installation and also occupancy. These are contextualised within the four categories, namely, client requirements, project requirements, regulation aspects and social aspects and the final outcomes were summarised into a holistic diagram.,Given that the offsite construction has shifted the working paradigm into assigning a significant level of efforts and emphasis at the front end of the construction projects, the importance of its design process and hence design risks management has gone up significantly in construction projects delivered using this technique. This research and paper contributes significantly to the built environment domain by identifying the crucial aspects along the project lifecycle to be considered to minimise the potential occurrence of design risks and hence increasing the confidence of project stakeholders in adopting offsite construction techniques in their projects.

Influence of organizational commitment on work–life balance and organizational performance of female construction professionals

Abstract: The purpose of this paper is to evaluate the mediating role of organisational commitment in the relationship between work‒life balance (WLB) and organisational performance of female construction professionals in the Nigerian construction industry.,The study empirically examined WLB of female professionals in medium- and large-sized Nigerian construction organisations. The data collected were analysed using partial least square structural equation modelling (PLS-SEM).,The findings revealed that there is a positive relationship between WLB and organisational commitment, and that organisational commitment mediates the impact of WLB on organisational performance.,One of the limitations of this research is the cross-sectional nature of the study and the nature of data collected, which is related to female gender. Efforts should, therefore, be made to further this study by examining the impact of WLB on both male and female professionals in construction.,This paper presents an empirical research on the significance of family-friendly initiatives within construction organisations in Nigerian context, and the results of the study have implications for industry practitioners and academics.

Critical success factors for building information modelling (BIM) implementation in Hong Kong

Abstract: Some initiatives have been proposed and implemented to facilitate successful project delivery and improve coordination and collaboration in the design, construction and management phases of project development. Building information modeling (BIM) is one of those initiatives that, though recent, however, have made a significant impact on the construction industry in some countries. The paper aims to discuss this issue.,This paper aims to explore the critical success factors for BIM implementation in the architecture, engineering and construction industry of Hong Kong through a mixed research method (structured empirical questionnaire survey and expert interviews).,The most influential success factor relates to the client’s acceptance with BIM projects, proper organizational structure to support a BIM system within the company and financial aid from the government to set up the BIM system. The expert interviewees also stressed the need for willingness from project staff members to learn and utilize BIM.,This study has contributed to the establishment of more practical and effective strategies for ensuring full adoption of BIM in Hong Kong. Practical recommendations for enhancing BIM adoption in the construction industry were highlighted.,This study has established the key drivers leading to the success of BIM implementation in Hong Kong, as well as in the perspective of construction experts on how to enhance its uptake in construction projects.

Using 4D BIM to assess construction risks during the design phase

Abstract: The prevention through design (PtD) concept has been widely recognized as one of the most effective approaches to eliminate or reduce construction site hazards. It encourages engineers and architects to consider occupational safety and health during the planning and design phases. Nevertheless, the implementation of PtD is often inhibited because designers lack adequate knowledge about construction safety and the construction process, and limited design-for-safety tools and procedures are available for designers to use. The purpose of this paper is to provide designers a tool for assessing construction risks during early phases of multistory building projects at an activity level and on a daily basis in a 4D environment. By using the tool, proactive measures could be taken in the design and planning phase to reduce site hazards.,The proposed method consists of four steps including risk quantification at a design element level, 4D model integration with risk values, risk assessment, and design alternative selection and model acceptance. A case study was carried out to test and verify the proposed method.,The proposed tool has the capability to assess the safety risk for an entire multistory project and visualize safety risk in a particular time period, work space and task prior to construction. It benefits designers in conducting risk assessments and selecting design alternatives concerning safety. Contractors could also utilize the visualization and simulation results of the 4D model for site safety planning so that a range of risk mitigation strategies could be implemented during construction.,The study provides an innovative PtD tool targeting designers as primary end-users. The proposed tool helps designers assess construction risks and has potential to incorporate the top levels of the hierarchy of risk controls.

A BIM approach for construction safety: applications, barriers and solutions

Abstract: Construction industry bears a lot of casualties and accidents more than other high-risk industries annually. Thus, the use of new technologies such, as building information modeling, automatic rule checking, information technology-based safety systems in order to implement the rules and safety standards, better controls the performance of workers on site and make high coordination between operational executives, leading to create a secure environment in projects by reducing accidents. The paper aims to discuss these issues.,In this study, a researcher-designed questionnaire was distributed among 200 companies that are active in the field of construction to evaluate the effect of building information model (BIM) for safety projects and barriers to adoption. Only 70 percent of questionnaires were returned. Statistical Package for the Social Sciences analysis has been used to determine the correlation coefficient among the respondents.,The results show the factors that lead to failure in the adoption of BIM in Iran are lack of well-trained personnel, proper social infrastructure, guidance and governmental supports.,Finally, the authors presented solutions for overcoming barriers and proposed some factors leading to the successful adoption of BIM in Iran.

Framework for the implementation of lean construction strategies using the interpretive structural modelling (ISM) technique: A case of the Saudi construction industry

Abstract: Purpose The purpose of this paper is to develop a framework for implementing lean construction and consequently to improve performance levels in the construction industry in the context of Saudi Arabia. There is currently no framework for implementing lean construction specifically tailored to the Kingdom of Saudi Arabia (KSA) construction industry. Existing lean construction frameworks are focussed on other countries and are less applicable in the KSA due to differences in socio-cultural and operational contexts. Design/methodology/approach This study employs the interpretive structural modelling (ISM) technique for data collection and analysis. First, following a survey of 282 construction professionals, 12 critical success factors (CSFs) for implementing lean construction in the KSA construction industry were identified by Sarhan et al. (2016). Second, 16 of these professionals who have 15 years or more experience were exclusively selected to examine the contextual relationship among the 12 CSFs. A row and column questionnaire was used for a pairwise comparison of the CSFs. A matrix of cross-impact multiplications (MICMAC) was applied to analyse the questionnaire data to develop an ISM model that can serve as a framework for implementing lean construction. Third, the framework was subjected to further validation by interviewing five experts to check for conceptual inconsistencies and to confirm the applicability of the framework in the context of the KSA construction industry. Findings The findings reveal that the CSFs are divided into four clusters: autonomous, linkage, dependent and driving clusters. Additionally, the findings reveal seven hierarchies of inter-relationships among the CSFs. The order of practical application of the CSFs descends from the seventh hierarchy to the first hierarchy. Originality/value The new framework is a significant advancement over existing lean construction frameworks as it employs an ISM technique to specify the hierarchical relationships among the different factors that contribute to the successful implementation of lean construction. The primary value of this study is the development of a new framework that reflects the socio-cultural and operational contexts in the KSA construction industry and can guide the successful implementation of lean construction. Therefore, construction industry operators such as contractors, consultants, government departments and professionals can rely on the framework to implement lean construction more effectively and successfully.

Exploring the interactions among factors impeding the diffusion of prefabricated building technologies: Fuzzy cognitive maps

Abstract: The purpose of this paper is to identify the interactions of factors impacting the widespread adoption of prefabricated building technologies and the intervention strategies to facilitate the development of prefabrication based on fuzzy cognitive maps (FCMs).,Through in-depth interviews with six stakeholder groups, namely, the government, developers, designers, contractors, manufacturers and researchers, 13 critical factors were identified and used to construct stakeholder-grouped FCMs, which were further aggregated into a collective FCM. The complexity and density of the collective FCM and the centrality of factors in the FCM were examined. Subsequently, a series of “what-if” simulations of the collective FCM were conducted to analyze the effectiveness of different interventions in promoting prefabrication.,The results show that three factors including market demand, cost, and policies and regulations have been mentioned by all stakeholder groups. However, these factors were ranked differently by stakeholder groups, implying that different stakeholder groups perceive the barriers to prefabricated building technologies differently. FCM simulations show that strengthening policies and regulations yield the strongest overall effect stimulating prefabrication, alleviating the organizational and environmental barriers more than the technological barriers, while improving the knowledge and expertise alleviate the technological barriers more. These measures need to be accompanied by other approaches, such as reducing cost and improving quality.,It is a tough task to promote prefabrication as it is affected by numerous barriers with complex interactions, which have been overlooked by previous studies. This study clearly shows which strategy could tackle which barriers to prefabrication through the FCM simulations. This provides valuable references for the enterprises’ decision making and the governments’ policy making to facilitate the diffusion of prefabricated building technologies.,Few studies aim to analyze the interactions among the barriers to prefabrication, while this study specifically investigates this issue by illustrating the complex interactions using FCMs. Few studies also aim to identify the intervention strategies promoting prefabrication based on a quantitative approach, while this study employs FCM simulations to directly simulate the effectiveness of different strategies to facilitate prefabrication in a quantitative manner.

A hybrid group decision model for green supplier selection: a case study of megaprojects

Abstract: Green supplier selection is one of the crucial activities in green supply chain management. However, limited studies have addressed the vagueness and complexities during the selection process, particularly in multi-criterion decision-making (MCDM) circumstances. Hence, the purpose of this paper is to develop a group decision model using a modified fuzzy MCDM approach for green supplier selection under a complex situation.,The proposed study develops a framework for sorting decisions in green supplier selection by using the hesitant fuzzy qualitative flexible multiple attributes method (QUALIFLEX). The synthetic consistent or inconsistent indexes were used to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix.,The proposed framework has been successfully applied and illustrated in the case example of CB02 contract section in Hong Kong–Zhuhai–Macau Bridge project. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The synthetic (in)consistent indexes are able to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix.,The research contributes to improving accuracy and reliability decision-making processes for green supplier selection, especially under vagueness and complex situations in megaprojects.

Barriers to the use of integrated project delivery (IPD): a quantified model for Malaysia

Abstract: The purpose of this paper is to quantify the barriers to the use of integrated project delivery (IPD), as assessed by 115 construction professionals in Malaysia.,Barriers recording highest citation amongst researchers worldwide were collated in the form of a conceptual model. This model was validated via a partial least squares structural equation modelling technique.,Findings advance the body of knowledge on IPD by providing original insights into the nature of key barriers, quantifying the relative importance of each barrier.,Despite the above-mentioned contributions, and before drawing any conclusion, it is prudent to acknowledge limitations, particularly the chosen research approach in focusing on the Malaysian context. Therefore, caution must be exercised in direct application of findings to other contexts; research findings should be seen through the lens of moderatum generalisations (see Payne and Williams, 2005).,Apart from contributions to the body of knowledge, for the world of practice, conditions impacting a transition to IPD are discussed, with a recommendation for change management through a tested mechanism like the European Corporate Sustainability Framework.,Being the first empirical study undertaken to quantify the relationship among the identified barriers and IPD, the present study contributes to the field by addressing the gap in IPD research in Malaysia, as an exemplar of a developing country; it creates knowledge to inform further improvements in project performance through facilitating IPD use. The study also offers insight to construction stakeholders in other developing countries for tackling issues that hinder the adoption of an IPD approach, and it also points to major barriers such that resources for tackling barriers may be allocated properly.

Genetic algorithm for determining the construction logistics of precast components

Abstract: Precast construction has become increasingly popular in the construction industry. Nonetheless, the logistics of construction materials has been a neglected topic, and this neglect has resulted in delays and cost overruns. Careful planning that considers all of the factors affecting construction logistics can ensure project success. The purpose of this paper is to examine the potential for using genetic algorithms (GAs) to derive logistics plans for materials production, supply and consumption.,The proposed GA model is based on the logistics of precast components from the supplier’s production yard, to the intermediate warehouse and then to the construction site. Using an activity-based costing (ABC) approach, the model not only considers the project schedule, but also takes into account the production and delivery schedule and storage of materials.,The results show that GAs are suitable for solving time-cost trade-off problems. The optimization process helps to identify the activity start time during construction and the delivery frequency that will result in the minimal cost. What-if scenarios can be introduced to examine the effects of changes in construction logistics on project outcomes.,This paper presents a method for using GAs and an ABC approach to support construction logistics planning decisions. It will help construction planners and materials suppliers to establish material consumption and delivery schedules, rather than relying on subjective judgment.

Design for occupational safety and health: key attributes for organisational capability

Abstract: Against the backdrop of the contribution of design to the occurrence of occupational injuries and illnesses in construction, design for occupational safety and health (DfOSH) is increasingly becoming prominent in the construction sector. To ensure that design interventions are safe for construction workers to build and maintain, design firms need to have the appropriate organisational capability in respect of DfOSH. However, empirical insight regarding the attributes that constitute DfOSH organisational capability is lacking. The purpose of this paper, which trailblases the subject of DfOSH organisational capability in construction, is to address two key questions: what organisational attributes determine DfOSH capability? What is the relative priority of the capability attributes?,The study employed three iterations of expert focus group discussion and a subsequent three-round Delphi technique accompanied by the application of voting analytic hierarchy process.,The study revealed 18 capability attributes nested within six categories, namely: competence (the competence of organisation’s design staff); strategy (the consideration of DfOSH in organisation’s vision as well as the top management commitment); corporate experience (organisation’s experience in implementing DfOSH on projects); systems (systems, processes and procedures required for implementing DfOSH); infrastructure (physical, and information and communication technology resources); and collaboration (inter- and intra-organisational collaboration to implement DfOSH on projects). Whilst these categories and their nested attributes carry varying weights of importance, collectively, the competence-related attributes are the most important, followed by strategy.,The findings should enable design firms and other key industry stakeholders (such as the clients who appoint them) to understand designers’ DfOSH capability better. Additionally, design firms should be able to prioritise efforts/investment to enhance their DfOSH capability.

Risk of excavators overturning: Determining horizontal centrifugal force when slewing freely suspended loads

Abstract: Tracked hydraulic excavators are versatile and ubiquitous items of off-highway plant and machinery that are utilised throughout the construction industry. Each year, a significant number of excavators overturn whilst conducting a lifting operation, causing damage to property, personnel injury or even fatality. The reasons for the overturn are myriad, including: operational or environmental conditions; machine operator acts or omissions; and/or inadequate site supervision. Furthermore, the safe working load (SWL) figure obtained from manufacturer guidance and utilised in lift plans is based upon undertaking a static load only. The purpose of this paper is to determine whether the SWL is still safe to be used in a lift plan when slewing a freely suspended (dynamic) load, and, if not, whether this may be a further contributory factor to overturn incidents.,Previous research has developed a number of machine stability test regimes but these were largely subjective, impractical to replicate and failed to accurately measure the “dynamic” horizontal centrifugal force resulting from slewing the load. This research contributes towards resolving the stability problem by critically evaluating existing governing standards and legislation, investigating case studies of excavator overturn and simulating the dynamic effects of an excavator when slewing a freely suspended load at high rotations per minute (rpm). To achieve this, both the static load and horizontal centrifugal force from slewing this load were calculated for six randomly selected cases of an excavator, with different arm geometry configurations.,The results from the six cases are presented and a worked example of one is detailed to demonstrate how the results were derived. The findings reveal that the SWL quoted on an excavator’s lift rating chart considerably underestimates the extra forces experienced by the machine when an additional dynamic load is added to the static load whilst lifting and slewing a freely suspended load.,This work presents the first attempt to accurately model excavator stability by taking consideration of the dynamic forces caused by slewing a freely suspended load and will lead to changes in the way that industry develops and manages lift plans. Future research proposes to vary the weight of load, arm geometry and rpm to predict machine stability characteristics under various operational conditions, and exploit these modelling data to populate pre-programmed sensor-based technology to monitor stability in real time and automatically restrict lift mode operations.

BrIM and UAS for bridge inspections and management

Abstract: The purpose of this paper is to develop a novel and systematic framework for bridge inspection and management to improve the efficiency in current practice.,A new framework that implements camera-based unmanned aerial systems (UASs) with computer vision algorithms to collect and process inspection data, and Bridge Information Modeling (BrIM) to store and manage all related inspection information is proposed. An illustrative case study was performed using the proposed framework to test its feasibility and efficiency.,The test results of the proposed framework on an existing bridge verified that: high-resolution images captured by an UAS enable to visually identify different types of defects, and detect cracks automatically using computer vision algorithms, the use of BrIM enable assigning defect information on individual model elements, manage all bridge data in a single model across the bridge life cycle. The evaluation by bridge inspectors from 12 states across the USA demonstrated that all of the identified problems, except for being subjective, can be improved using the proposed framework.,The proposed framework enables to: collect and document accurate bridge inspection data, reduce the number of site visits and avoid data overload and facilitate a more efficient, cost-effective and safer bridge inspection process.,This paper contributes a novel and systematic framework for the collection and integration of inspection data for bridge inspection and management. The findings from the case study suggest that the proposed framework should help improve current bridge inspection and management practice. Furthermore, the difficulties experienced during the implementation are evaluated, which should be helpful for improving the efficiency and the degree of automation of the proposed framework further.

Optimizing the concession period of PPP projects for fair allocation of financial risk

Abstract: Targeting public–private partnership (PPP) projects, the purpose of this paper is to help decision makers fairly allocate financial risk between governments and private investors through a properly designed length of concession period.,On the one hand, the length of the concession period should be long enough to help private investors to achieve their expected profits. On the other hand, the length of a concession period cannot be decided without agreeing on an upper limit, since an overlong concession period takes too much time for governments to recover their investment and leads to an overly lucrative condition for private investors. Following this logic, the concession period decision range is decided, which defines the lower and upper limits for the length of the concession period. The net present values (NPVs) for governments and private investors are estimated via Monte Carlo simulation to better reflect the uncertainties. To further decide on the optimal length of the concession period, the principle of fair risk allocation between governments and private investors is adopted. The concession period, as an important project parameter, should help to minimize the financial risk gap between governments and private investors.,The developed concession period determination process is validated using a numerical example of a PPP transportation project. The analysis outcomes show that the proposed methodology is capable of determining the length of the concession period so as to control private investors’ profit within a reasonable range while achieving a fair allocation of financial risk between governments and private investors. The outcomes also indicate that, before determining the optimal length for the concession period, governments may need to make a choice between better financial risk allocation or stringent profit control for private investors.,The determination process developed here may be inapplicable to social infrastructure PPPs where the income stream is less predictable. In addition, the data analysis targets a highway project with a capital subsidy provided by the government. To strengthen the effectiveness of the proposed determination process, further research should apply the model to PPPs with other kinds of government support.,The concession period for a PPP project is an important parameter and it is a common practice for governments to predetermine the length of the concession period before inviting tenders. The existing models for determining the concession period focus too much on the simulation of NPVs for project parties and neglect the importance of risk allocation in signing and maintaining a long-term contract. There is also a lack of research to evaluate the influence of governments’ preferences on the length of the concession period. To overcome the limitations of the existing models and enrich the methodology for concession period determination, this paper contributes to the body of knowledge by developing a concession period determination process which can help governments to make better decisions. The financial risk is expected to be more evenly shared between governments and private investors with the concession period derived from the proposed process. This determination process is also capable of evaluating the influence of governments’ preferences on the length of the concession period.

Effect of leadership and communication practices on the safety climate and behaviour of construction workgroups

Abstract: The leadership style and communication practices of supervisors in the Australian construction industry were measured. The purpose of this paper is to investigate the effect of leadership style and communication practices of Australian construction supervisors on workgroup health and safety (H&S) climate and behaviour.,A questionnaire was administered to members of 20 workgroups engaged in rail construction work on the Level Crossing Removal Project and the Melbourne Metro Tunnel Project in Victoria, Australia. The survey measured components of supervisors’ transformational and transactional leadership, communication practices, the group H&S climate and workers’ self-reported H&S compliance and participation.,Supervisors’ transformational and transactional leadership, as well as communication practices, were all positively and significantly correlated with group H&S climate and workers’ self-reported H&S behaviours. The transformational leadership component of providing an appropriate model was the strongest predictor of H&S participation, while H&S compliance was predicted by the transactional leadership component of providing contingent reward, as well as supervisors’ communication practices. H&S climate fully mediated the relationship between supervisory leadership and workers’ self-reported H&S behaviour.,The research demonstrates that both transformational and transactional supervisory leadership are important in the construction context. Effective communication between supervisors and workers is also important for H&S. The findings suggest that supervisory leadership development programmes may be an effective way to improve H&S performance in predominantly subcontracted construction workgroups.

Time–cost–quality trade-off analysis for planning construction projects

Abstract: Achieving project objectives in constructionprojects such as time, cost and quality is a challenging task. Minimizing project cost often results in additional project duration and might jeopardize quality, and minimizing project duration often results in additional cost and might jeopardize quality. Also, increasing construction quality often results in additional cost and time. The purpose of this paper is to identify and analyze trade-offs among the project objectives of time, cost and quality.,The optimization model adopted a quantitative research method and is developed in two main steps formulation step that focuses on identifying model decision variables and formulating objective functions, and implementation step that executes the model computations using multi-objective optimization of Non-Dominated Sorting Genetic Algorithms to identify the aforementioned trade-offs, and codes the model using python. The model performance is verified and tested using a case study of construction project consisting of 20 activities.,The model was able to show practical and needed value for construction managers by identifying various trade-off solutions between the project objectives of time, cost and quality. For example, the model was able to identify the shortest project duration at 84 days while keeping cost under $440,000 and quality higher than 85 percent. However, with an additional budget of $20,000 (4.5 percent increase), the quality can be increased to 0.935 (8.5 percent improvement).,The present research work is limited to project objectives of time, cost and quality. Future expansion of the model will focus on additional project objectives such as safety and sustainability. Furthermore, new optimization models can be developed for construction projects with repetitive nature such as roads, tunnels and high rise buildings.,The present model advances existing research in planning construction projects efficiently and achieving important project objectives. On the practical side, the optimization model will support the construction industry by allowing construction managers to identify the highest quality to deliver a construction project within specified budget and duration, lowest cost for specified duration and quality or shortest duration for specified budget and quality.,The present model introduces new and innovative method of increasing working hours per day and number of working days per shift while analyzing labor working efficiency and overtime rate to identify optimal trade-offs among important project objectives of time, cost and quality.

Dynamic changes of governance mechanisms in mega construction projects in China: The mediating role of opportunism

Abstract: The purpose of this paper is to study the mechanisms governing dynamic changes in relational and contractual governance at different stages of government-funded mega construction projects (MCPs) by studying their different effects on project performance and participants’ opportunism.,Partial least squares structural equation modeling was used to test eight hypotheses based on data collected from 147 respondents in different participating organizations in Chinese MCPs.,First, contractual governance has a stronger positive impact on project performance than relational governance in the early stage of MCPs, while relational governance exerts more positive effects on project performance than contractual governance in the middle and late stages. Second, opportunism is a mediator variable between governance mechanisms and project performance, and relational governance is more effective than contractual governance in restricting opportunism.,In contrast to a static analysis of project governance mechanisms, this study examines dynamic changes in the governance mechanisms of MCPs in the Chinese context by considering the mediating role of opportunism as well as guanxi as an element of relational governance, thus filling in gaps in the literature on MCP governance and contributing to the development of MCP management theory.

Sensing and warning-based technology applications to improve occupational health and safety in the construction industry: A literature review

Abstract: Sensing- and warning-based technologies are widely used in the construction industry for occupational health and safety (OHS) monitoring and management. A comprehensive understanding of the different types and specific research topics related to the application of sensing- and warning-based technologies is essential to improve OHS in the construction industry. The purpose of this paper is to examine the current trends, different types and research topics related to the applications of sensing- and warning-based technology for improving OHS through the analysis of articles published between 1996 and 2017 (years inclusive).,A standardized three-step screening and data extraction method was used. A total of 87 articles met the inclusion criteria.,The annual publication trends and relative contributions of individual journals were discussed. Additionally, this review discusses the current trends of different types of sensing- and warning-based technology applications for improving OHS in the industry, six relevant research topics, four major research gaps and future research directions.,Overall, this review may serve as a spur for researchers and practitioners to extend sensing- and warning-based technology applications to improve OHS in the construction industry.

Review of global mental health research in the construction industry: A science mapping approach

Abstract: Purpose The demanding nature of the construction industry poses strain that affects the health of construction personnel. Research shows that mental ill health in this industry is increasing. However, a review mapping the field to determine the extant of research is lacking. Thus, the purpose of this paper is to conduct a scientometric review of mental health (MH) research in the construction industry. Design/methodology/approach A total of 145 bibliographic records retrieved from Web of Science and Scopus database were analyzed using CiteSpace, to visualize MH research outputs in the industry. Findings Top co-cited authors are Helen Lingard, Mei-yung Leung, Paul Bowen, Julitta S. Boschman, Peter E.D. Love, Martin Loosemore and Linda Goldenhar. Previous studies focused on healthy eating, work efficiency, occupational stress and workplace injury. Emerging research areas are centered around physiological health monitoring, work ability, and smart interventions to prevent and manage poor MH. Research limitations/implications Result is influenced by the citations in retrieved articles. Practical implications The study found that researchers in the construction industry have intensified efforts to leverage information technology in improving the health, well-being, and safety of construction personnel. Future research should focus on developing workplace interventions that incorporate organizational justice and flexible work systems. There is also a need to develop psychological self-reporting scales specific to the industry. Originality/value This study enhances the understanding of researchers on existing collaboration networks and future research directions. It provides information on foundational documents and authors whose works should be consulted when researching into this field.

Influential safety technology adoption predictors in construction

Abstract: Existing literature suggests that construction worker safety could be optimized using emerging technologies. However, the application of safety technologies in the construction industry is limited. One reason for the constrained adoption of safety technologies is the lack of empirical information for mitigating the risk of a failed adoption. The purpose of this paper is to fill the research gap through identifying key factors that predict successful adoption of safety technologies.,In total, 26 key technology adoption predictors were identified and classified using a combination of literature review and an expert panel. The level of influence for each identified safety technology adoption predictor was assessed and ranked using the Relative Importance Index. Analysis of variance was performed as well to assess the potential difference in perceived level of importance for the predictors when the study participants were clustered according to work experience and company size.,Statistical analysis indicates that 12 out of the 26 predictors identified are highly influential regarding technology adoption decision-making in construction. Technology reliability, effectiveness and durability were ranked as the most influential predictors. The participants who work for small companies and who had less than ten years of experience rated individual- and technology-related predictors significantly lower than the experienced participants working for medium and large companies.,The present study provides construction researchers and practitioners with valuable information regarding safety technology predictors and their magnitude, both of which are essential elements of a successful safety technology adoption process. Improved technology adoption can enhance workplace safety and minimize worker injuries, providing substantial benefits to the construction industry.,This study contributes to technology adoption knowledge by identifying and quantifying the influential predictors of safety technologies in relation to different organizational contexts. The study informs the need to develop an integrated conceptual model for safety technology adoption.

Management competencies, complexities and performance in engineering infrastructure projects of Pakistan

Abstract: The complexity of projects has become a serious issue and obstacle in their successful completion. In order to overcome these complexities, it has become imperative to identify the relevant management competencies of project managers. The purpose of this paper is to address the problem of cost, time and scope in engineering infrastructure projects due to their complexities through management competencies.,In the first phase of the study, 32 experts were interviewed through semi-structured pre-tested questionnaire. In this phase, essential elements of complexities were identified initially. This was followed by finding required dimensions of competencies to counter these complexities and to acquire improved performance. In the final stage, required levels of competencies for specific elements of complexity were identified. In the second phase, 85 “project managers” were also approached to get feedback about their recently completed public sector engineering infrastructure projects in Pakistan.,The study identified additional dimensions, i.e. honesty, enthusiasm and dedication, in the case of competencies and adverse law and order situation, political instability, land issues, energy crisis and weak authorization of project managers in the case of complexities. Leadership, management skill, communication skill, effectiveness and result orientation were identified as top quality traits required. The study concluded that there is a significant impact of management competencies and complexities on project performance.,The study contributes to a better understanding of how to improve performance in complex engineering infrastructure projects through adopting management competencies. It also empirically illustrates the relations among project management competencies, complexities and project performance. Although the research is grounded on public sector infrastructure projects, its findings may also be helpful for practices in project management of other sectors.

Integrated project delivery implementation framework for water and wastewater treatment plant projects

Abstract: The public nature of water and wastewater construction capital projects has rendered design-bid-build (DBB) as the delivery method of choice for such projects over the past years. Shortcomings inherent to DBB have had a negative effect on the key performance indicators (KPIs) of these projects. Numerous studies have been published about the benefits offered by integrated project delivery (IPD) in improving the delivery of DBB projects. Links correlating IPD principles to improvements in KPIs of DBB construction projects have not been established scientifically, thus leaving owners with no guidance on which IPD principle(s) to implement in order to improve a particular project KPI. The paper aims to discuss this issue.,Actual data were collected from 43 water and wastewater construction projects – including two control projects with full implementation of selective IPD principles – and used to compute major projects KPIs. Regression analysis and a focus group are then utilized to determine the effect of each implemented IPD principle on various project KPIs.,Implementation of open communication was found to have a significant effect on reducing project cost overrun, and the co-location of teams significantly reduced the time to respond to RFIs. Collaborative decision making significantly reduced the cost of field rework. Other IPD principles showed less-significant effects on project KPIs and were concluded to be ineffective at improving the projects’ performance.,An implementation framework is developed that can guide utility owners on which IPD principle(s) to implement in order to improve specific project KPIs.,This study demonstrates that not all IPD principles will result in performance improvement of a project. A selective and cost-effective implementation of certain IPD principle will have to be based on the nature of the project and the particular KPIs targeted for improvement.