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Buildings/infrastructure are recognised to have a significant impact on the environment and the community, and hence there is pressure on industry practitioners to incorporate environmental and social considerations in addition to the traditional cost, time and quality. The development of sustainability reporting tools (SRTs) to assist in the management of “green” building/infrastructure projects is pivotal in informing on progress in sustainability practices. However, the rapid growth of SRTs in the last decade, with different criteria and methodology, has created complications for stakeholders.

The paper provides a comprehensive review of tools to guide practitioners, property investors, policy makers and developers towards making informed choices in “green” building/infrastructure projects. Comparative analyses, benefits and limitations of these tools are discussed in the paper.

Some of the findings from the analysis of SRTs include: an emphasis on environmental issues; scoring which does not account for uncertainty or variability in assessors’ perceptions; lack of published reasoning behind the allocation of scores; inadequate definition of scales to permit differentiation among projects; and the existence of non-scientific benchmarks.

The paper departs from earlier reviews to include a discussion on infrastructure SRTs, life cycle tools, and issues broader than the environment. Changes and additions, subsequent to earlier reviews, have been made to SRTs, making the updated review provided here useful.

This paper examines the use of intelligent technologies in buildings and whether the use of smart technologies impacts the circular economy performance of buildings in terms of energy and water consumption, their marginal cost and the management decision time and quality, for building management companies.

The study is initiated through the detailed build-up of the proposition that employs a systematic literature review and adopts the case study research design to make a cross-case analysis of the information extracted from data. The data are derived from the operating costs of two buildings in which most advanced smart technologies are used in Cape Town and interviews with their facility managers. These data provide two research case studies. The results of the investigation are then analysed and linked back to the literature.

The results of the research suggest that the implementation of smart technologies to create intelligent infrastructure is beneficial to the circular economy performance of buildings and the time taken for management decisions. The results of the study have proven that the impact of smart technologies on the circular economy performance of buildings is positive, as it lowers the cost of utilities and decreases the time required for management decisions.

The research reported in this paper is exploratory, and due to its limited sample size, its findings may not be statistically generalizable to the population of high-occupancy buildings in Cape Town, which incorporate smart infrastructure technologies within their building management systems (BMSs). Also, the empirical data collected were limited to the views and opinions of the interviewees, and the secondary data were obtained from the selected buildings.

The findings suggest that investment in smart technologies within buildings is of significant value and will improve the circular economy performance of buildings in terms of low energy and water use, and effective management decisions.

The results imply that there would be more effective maintenance decisions taken by facilities managers, which will enable the maintenance of equipment to be properly monitored, problems with the building services and equipment to be identified in good time and in improved well-being and user satisfaction.

The study provides evidence to support the concept that advanced smart technologies boost performance, the time required for management decisions and that they enable circularity in buildings. It supports the proposition that investment in the more advanced smart technologies in buildings has more positive rewards.

The implementation of smart maintenance (SM) has greatly benefited facility managers, construction project managers and other stakeholders within the built environment. Unfortunately, its actualization for stakeholders in the built environment in the fourth industrial revolution (4IR) era remains a challenge. To reduce the challenge, this study aims at conducting a bibliometric analysis to unearth the critical success factors supporting SM implementation. The future direction and practice of SM in the construction industry were also explored.

A bibliometric approach was adopted for reviewing articles extracted from the Scopus database. Keywords such as (“smart maintenance“) OR (“intelligent maintenance”) OR (“technological maintenance”) OR (“automated maintenance”) OR (“computerized maintenance”) were used to extract articles from the Scopus database. The studies were restricted between 2006 and 2021 to capture the 4IR era. The initial extracted papers were 1,048; however, 288 papers were selected and analysed using VOSviewer software.

The findings revealed that the critical success factors supporting the implementation of SM in the 4IR era are collaboration, digital twin design, energy management system and decentralized data management system. Regarding the future practice of SM in the 4IR era, it was also revealed that SM is possible to evolve into maintenance 4.0. This will support the autonomous maintenance of infrastructures in the built environment.

The use of a single database contributed to the limitation of the findings from this study.

Despite the limitations, the findings of this study contributed to practice and research by providing stakeholders in the built environment with the direction of SM practice.

Stakeholders in the built environment have clamoured to implement SM in the 4IR era. This study provided the critical success factors for adopting SM, guaranteeing the 4IR era. It also provides the research trends and direction of SM practice.

Anecdotal evidence indicates that there is a backlog in the pre-tertiary school infrastructure in the Eastern Cape Province of South Africa. The purpose of this paper is to assess the adoption of alternative building technologies (ABT) for pre-tertiary educational infrastructure delivery with a view to providing empirical evidence that could guide policy responses towards its wider adoption.

The study adopted a mixed methodology approach. This comprises a triangulation of a questionnaire survey and interviews. In total, 100 participants were randomly selected from 182 built environment professionals namely quantity surveyors, architects and engineers (electrical, mechanical, civil and structural) from the Department of Roads and Public Works (DRPW), who are currently involved in the Eastern Cape School Building Program (ECSBP). The questionnaire survey was supplemented by semi-structured interviews conducted with four top government officials (three from the Department of Education (DoE) and one from DRPW) who were also part of the questionnaire survey. Data collected were analyzed using descriptive statistics and phenomenological interpretation respectively.

The key findings showed that the level of adoption of ABT for pre-tertiary school infrastructure in the Eastern Cape province is primarily influenced and explained by perceptions that ABT offers inferior quality products compared to the conventional method, and limited awareness of its benefits.

The study provides useful insights into the implications of the limited awareness of ABT as a an alternative technology for educational infrastructure delivery and policy responses towards its wider adoption and environmental sustainability.

Empirical evidence from this study indicates that the main motivation for the adoption of ABT is the limited government’s budget to cope with school infrastructural backlog, while environmental sustainability benefit is only secondary. Nonetheless, the realization that the backlogs in the provision of school infrastructure has resulted from sole reliance on the use of the conventional method is an indication of the potential that the adoption of ABT holds for minimizing of the backlog.

School infrastructure is one of critical factors that significantly contribute to the educational outcomes, and therefore, maintaining the high quality of school infrastructure becomes of critical importance. Due to the ageing of school assets over time in combination with budget constraint and rapid growth of student enrolment, many public schools are currently struggling to maintain the required standard for long term. However, to date, the goal of providing the best maintenance practices to public schools has not been achieved.

The present study focuses on studying the balance between the asset and maintenance management strategies and the funding model through conducting state-of-the-art literature review and qualitative analysis in the context of public schools in Australia and other developed countries around the world. Review of journal articles, different government reports and other available resources were used to collect and analyse the data in this study.

As part of this review, significant under investment in maintenance and asset renewals were identified as main challenges in asset management in public school facilities. Although different maintenance strategies were used in school infrastructure, adequate funding, adequate robust asset management plans (AMPs) and the involvement of private sectors have been identified as the key factors that govern the success in school infrastructure maintenance. It also shows that funding of approximately 2–3% of asset replacement value (ARV) on school infrastructure is required to maintain school facilities for long-term. Further, the procurement methods such as public private partnership including private finance initiatives (PFIs) have shown great improvements in maintenance process in school infrastructure.

The study provides a review of different AMPs and funding models in school infrastructure and their efficiencies and shortcoming in detail. Different states and countries use different maintenance models, and challenges associated with each model were also discussed. Further this study also provides some conclusive evidence for better maintenance performance for school buildings.

The purpose of this paper is to explore the extent to which hospital disaster planners and managers understand the role of built infrastructure in delivering effective healthcare services during extreme weather events (EWEs). There is substantial evidence to indicate that many hospitals are vulnerable to EWEs. This is alarming given community reliance on hospitals during times of natural disaster and the predicted increase in the frequency and intensity of EWEs.

In this paper, resilience and learning theories are combined to produce a new conceptual model which illustrates how hospital disaster managers learn about the relationship between health outcomes and built infrastructure during EWEs to build future hospital resilience. In this paper, the first part of the conceptual model, concerning the development of disaster management plans is explored and refined using a thematic content analysis of 14 Australian hospitals’ disaster plans and supplementary plans.

The findings indicate high variability of understanding about the role of built facilities in health outcomes during an EWE. There appears to be a widespread and highly questionable assumption in the health disaster planning community that hospital built infrastructure is highly resilient to EWEs. This means that many hospitals will not be unaware of the risks that their buildings pose in the delivery of healthcare services to the community during an EWE and how to manage those risks effectively.

The theoretical framework presented in this paper provides new insights which will enable hospital infrastructure resilience to be better integrated into health service disaster risk planning and preparedness. The findings can help hospital disaster managers learn about and adapt their built environment to changing healthcare needs during EWEs.

By integrating learning and resilience theories in a built environment context, this paper provides new insights, both theoretical and practical, into the important role of hospital infrastructure in planning for EWEs.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

There is a lack of theoretical and empirical studies regarding concepts of social sustainability based on social infrastructure. The idea of understanding this paper is that quality social infrastructure leads to the general quality of people’s life in the built environment and that is rounded up to social sustainability. This paper aims to integrate these concepts into the network, hereinafter referred to as a social sustainability model.

The methodology used in this paper is desk research. The authors follow methodological steps in the building of conceptual network: setting up a research problem; choice of databases; reviewing the literature and categorizing the selected data; identifying and default conceptual definition; integrating the concepts; synthesis and making it all make sense; and assembly and validating the concept. Through that, a large volume of bibliographic materials was scanned, and a limited number of documents have been reviewed and critiqued. The documents have been selected from varied disciplines, including social infrastructure, quality of life, social sustainability, urban sociology, housing policy as among the articles.

The result is the model which represents the links between social infrastructure (utility equipment, public infrastructure, vital objects and fundamentals) and further between factors inside quality of life structure (users, quality of life, reflections). The result is the model which representing the links between social infrastructure (utility equipment, public infrastructure, vital objects and fundamentals) and further between factors inside well-being structure (users, quality of life, reflections).

There is a potential risk of errors arising from the use of assumptions, limited desk reviews and data from secondary resources.

The authors portray the development of social sustainability model. Within this model, the authors can critically observe all levels within the existing built environment: user responses to the built environment, their satisfaction, social inclusion, health, etc. Within this model, they can observe the links between existing research, their frequency, capture, direction and not least to determine which areas have not been explored and where the lacks of research are. The conclusion outlines the framework and its main concepts of social sustainability based on social infrastructure and well-being, including their theoretical premises and components.

While most efforts to combat climate change are focussed on energy efficiency and substitution of fossil fuels, growth in the built environment remains largely unquestioned. Given the current climate emergency and increasing scarcity of global resources, it is imperative that we address this “blind spot” by finding ways to support required services with less resource consumption.

There is now long overdue recognition to greenhouse gas emissions “embodied” in the production of building materials and construction, and its importance in reaching targets of net zero carbon by 2050. However, there is a widespread belief that we can continue to “build big”, provided we incorporate energy saving measures and select “low carbon materials” – ignoring the fact that excessive volume and area of buildings may outweigh any carbon savings. This is especially the case with commercial real estate.

As the inception and planning phases of projects offer most potential for reduction in both operational and embodied carbon, we must turn our attention to previously overlooked options such as “build nothing” or “build less”. This involves challenging the root cause of the need, exploring alternative approaches to meet desired outcomes, and maximising the use of existing assets. If new build is required, this should be designed for adaptability, with increased stewardship, so the building stock of the future will be a more valuable and useable resource.

This points to the need for increased understanding and application of the principles of strategic asset management, hitherto largely ignored in sustainability circles, which emphasize a close alignment of assets with the services they support.

Arguably, as the built environment consumes more material resources and energy than any other sector, its future configuration may be critical to the future of people and the planet. In this regard, this paper seeks to break new ground for deeper exploration.

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.