The Critical Success Factors for Public–Private Partnership is a major research interest worldwide therefore this paper aims to methodically review studies on the CSFs for implementing PPP from some ...selected top tier academic journals from 1990 to 2013 (years inclusive). The search results indicated an increased research interest in the exploration of PPP CSFs since 1990. The mostly identified CSFs are risk allocation and sharing, strong private consortium, political support, community/public support and transparent procurement. It was further noticed that Australia, the U.K., China and Hong Kong have been the countries of focus for most research studies on PPP CSFs. Finally the research approaches adopted are case study, questionnaire survey and mixed methods. The findings revealed provide an overview of CSFs for PPPs in order to enhance future implementations. Moreover a checklist of CSFs for PPPs has been developed, which could be adopted for further empirical studies.
•The CSFs for implementing PPP projects is increasingly becoming important to both researchers and practitioners.•Papers on CSFs for PPPs from 1990 to 2013 were analyzed quantitatively.•The top key CSFs from literature from 1990 to 2013 have been identified.•Other insights such as active contributors, research origin and methods have been analyzed.•Research gaps and future research directions are highlighted.
Interventions for sustainability attainment in affordable housing have received increasing attention from policy makers globally. However, policy-makers’ interventions for sustainable affordable ...housing markets can be inefficient and even counterproductive. As such, among the diverse interventions available, a vital question is what are the potential efficient interventions? To address this question, the views of affordable housing experts (also knowledgeable in sustainable housing) around the world were solicited via a questionnaire survey to identify critical success factors (CSFs) for sustainable affordable housing. Relative significance analysis of the data led to the identification of 13 CSFs. Furthermore, agreement analysis revealed that there is no good agreement between respondents from the academic sector and those from the industrial sector on the ranking of the 13 CSFs. Moreover, through factor analysis, the CSFs were grouped into four underlying components: developer's enabling CSFs; household-demand enabling CSFs; mixed land use CSFs; land use planning CSFs. The research findings seek to inform policy-makers on the CSFs for efficient resource utilization for sustainable affordable housing market. Future study would establish a relationship between the CSFs and success criteria for sustainable affordable housing.
•Interventions for sustainable affordable housing could be counterproductive.•Policies for sustainable affordable housing remain a pressing goal.•The findings could inform policy-makers on CSFs for sustainable affordable housing.•The findings could also guide policy-makers on resources use for sustainable affordable housing.
In this paper, the first inclusive scientometric review of global green building research (GGBR) is presented. The aim of this review study is to systematically analyze and visualize the ...state-of-the-art of the GGBR. To this end, a quantitative method – science mapping – was employed to analyze 6867 related bibliographic records retrieved from Scopus. The research findings are instructive in identifying and understanding trends and patterns, including core research areas, journals, institutions, and countries, and how these are linked, within the existing body of literature on green building (GB). They also assist in recognizing the gaps and deficiencies in the current GGBR and thus useful and promising directions for future research. This research has implications for journal editors, practitioners, policy makers, researchers, and research institutions, e.g., universities. It can help these stakeholders make vital contributions to developing and accruing intellectual wealth to the GB area, while providing them with a detailed understanding of the trend and status quo of the GGBR.
•A scientometric analysis of global green building research was performed.•Main research areas were identified with future research directions.•Collaboration networks in the existing body of knowledge were identified.
Studies on specific critical success criteria (CSC) for performance measurement of sustainable affordable housing projects are limited. This study aims to identify and classify the various CSC from ...the views of affordable housing experts around the world. 21 CSC were identified from a comprehensive literature review followed by a questionnaire survey on the identified 21 CSC. With 51 responses, the data were analyzed. Factor analysis indicated that the various CSC can be grouped into six components: household satisfaction CSC, stakeholders' satisfaction CSC, house operation cost CSC, time measurement CSC, location affordability cost CSC and quality-related CSC. Practically, the findings of this study can serve as a guide for assessing the performance of affordable housing projects as well as serving as a guide to developers, NGOs and government agencies in the allocation of resources for the provision of sustainable affordable housing. Future study would investigate the interrelationship between critical success criteria and critical success factors for sustainable affordable housing.
•Sustainable affordable housing remains a priority for all governments and other policy makers.•Bridging the gap between sustainable housing and affordable housing is exigent.•The findings of this study can serve as a guide for assessing the sustainability performance of affordance housing projects.•The findings can also guide developers and policymakers for sustainable affordable housing.
Construction is a high hazard industry which involves many factors that are potentially dangerous to workers. Safety has always been advocated by many construction companies, and they have been ...working hard to make sure their employees are protected from fatalities and injuries. With the advent of Virtual and Augmented Reality (VR/AR), there has been a witnessed trend of capitalizing on sophisticated immersive VR/AR applications to create forgiving environments for visualizing complex workplace situations, building up risk-preventive knowledge and undergoing training. To better understand the state-of-the-art of VR/AR applications in construction safety (VR/AR-CS) and from which to uncover the related issues and propose possible improvements, this paper starts with a review and synthesis of research evidence for several VR/AR prototypes, products and the related training and evaluation paradigms. Predicated upon a wide range of well-acknowledged scholarly journals, this paper comes up with a generic taxonomy consisting of VR/AR technology characteristics, application domains, safety scenarios and evaluation methods. According to this taxonomy, a number of technical features and types that could be implemented in the context of construction safety enhancement are derived and further elaborated, while significant application domains and trends regarding the VR/AR-CS research are generalized, i.e., hazards recognition and identification, safety training and education, safety instruction and inspection, and so on. Last but not least, this study sets forth a list of gaps derived from the in-depth review and comes up with the prospective research works. It is envisioned that the outcomes of this paper could assist both researchers and industrial practitioners with appreciating the research and practice frontier of VR/AR-CS and soliciting the latest VR/AR applications.
•90 VR/AR-CS related articles from 2000 to 2017 are reviewed•The review taxonomy was consolidated by technology characteristics, application domains, safety enhancement mechanisms, and safety assessment and evaluation•The top three application domains include hazards identification, safety education and training, and safety inspection and instruction
Over the past two decades, social network analysis (SNA) has elicited increasing attention in construction project management (CPM) research as a response to the emerging perspective of viewing ...projects as network-based organizational organizations. However, a thorough review of SNA application in CPM research is unavailable. This study aims to address this gap by reviewing 63 SNA papers published in eight peer-reviewed journals from 1997 to 2015 to ascertain the status of this research area and identify future research directions. The papers are analyzed in terms of institutional and individual contribution, citations, topic coverage and research design and methodologies. Three research directions, namely, internal stakeholder networks for outcome-related values, external stakeholder networks for process-related values, and external stakeholder networks for outcome-related values, are identified. The findings of this study are believed to provide useful references for the future application of SNA in CPM research.
•Social network analysis (SNA) has elicited increasing attention from researchers.•63 SNA papers published between 1997 and 2015 are analyzed quantitatively.•The papers are categorized into eight topics using a scientometric technique.•An emerging trend of SNA-based research design and methodologies is identified.•Three future directions for SNA application in CPM are provided.
The Architecture, Engineering and Construction (AEC) sector faces severe sustainability and efficiency challenges. The application of artificial intelligence in green building (AI-in-GB) is an ...effective solution to enhance the sustainability and efficiency of the sector. While studies have been conducted in the AI-in-GB domain, an in-depth study on the state-of-the-art of AI-in-GB research is hitherto lacking. To provide a better understanding of this underexplored area, this study was initiated via a bibliometric-systematic analysis method. The study aims to reveal the synthesis between AI and GB, as well as to highlight research trends along with knowledge gaps that may be tackled in future AI-in-GB research. A quantitative bibliometric analysis was conducted to objectively identify the major research hotspots, trends, knowledge gaps and future research needs based on 383 research publications identified from Scopus. A further qualitative systematic analysis was also conducted on 76 screened research publications on AI-in-GB. Through this mixed-methods systematic review, knowledge gaps were identified, and future research directions of AI-in-GB were proposed as follows: digital twins and AI of things; blockchain; robotics and 4D printing; and legal, ethical, and moral responsibilities of AI-in-GB. This study adds to the GB knowledge domain by synthesizing the state-of-the-art of AI-in-GB and revealing the research needs in this field to enhance the sustainability and efficiency of the AEC sector.
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•AI-in-GB promotes knowledge-discovery, intelligent optimization, and augmenting or automating decision-making process.•Major strengths of AI-in-GB include increased efficiency, cost-and-time savings, reliability, and improved accuracy.•AI-in-GB has significant scope for further research.•Key future research directions include digital twins and AIoT; blockchain; robotics and 4D printing.
AbstractA significant body of literature has been dedicated to research studies on construction labor productivity (CLP) and related issues, and many underlying theories and industrial practices on ...CLP application have been reported. However, research topics about CLP are highly diversified and there is a lack of systematic analysis in CLP-related issues. Through a systematic review of selected papers from well-known academic journals in construction management, major research areas are identified, such as factors affecting CLP, modeling and evaluation of CLP, methods and technology for CLP improvement, trends and comparisons of CLP, effects of change/variation on CLP, and baseline/benchmarking CLP. Critical reviews on these areas are presented by focusing on industry, project, and activity levels to investigate the state of the art and trends in CLP research. Gaps in research and practices are discussed and future research directions are proposed. The outcome of this paper may provide a platform for both researchers and industrial practitioners to appreciate the latest developments and trends in productivity research.
Global warming is bringing more frequent and severe heat waves, and the result will be serious for vulnerable populations such as construction workers. Excessive heat stress has profound effects on ...physiological responses, which cause occupational injuries, fatalities and low productivity. Construction workers are particularly affected by heat stress, because of the body heat production caused by physically demanding tasks, and hot and humid working conditions. Field studies were conducted between August and September 2016 at two construction training grounds in Hong Kong. Onsite wet-bulb globe temperature (WBGT), workers' heart rate (HR), and labor productivity were measured and monitored. Based on the 378 data sets of synchronized environmental, physiological, construction labor productivity (CLP), and personal variables, a CLP-heat stress model was established. It was found that WBGT, percentage of maximum HR, age, work duration, and alcohol drinking habits were determining factors for predicting the CLP (adjusted
² = 0.68,
< 0.05). The model revealed that heat stress reduces CLP, with the percentage of direct work time decreasing by 0.33% when the WBGT increased by 1 °C. The findings in this study extend the existing practice notes by providing scientific data that may be of benefit to the industry in producing solid guidelines for working in hot weather.
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