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Construction professionals are the major contributors to developing a sustainable construction industry, whereas architects, engineers and quantity surveyors are the key construction professionals who must play extraordinary roles in achieving better sustainable construction. Therefore, this study aims to identify the job attributes of key Sri Lankan construction professionals in addressing challenges associated with climate change.

The study adopted a mixed research approach. A literature review and preliminary semi-structured interviews were used to appraise the job roles of architects, engineers and quantity surveyors in addressing challenges associated with climate change. The data collected through the qualitative approach were used in an online questionnaire survey, and the findings were analysed using the relative index method.

The findings highlight that regardless of the knowledge of the professional category on green rating tools, carbon footprint, adaptation of renewable energies for the reduction of energy consumption, building information modelling-related applications and waste management concepts/practices are the foremost job attributes required for the key Sri Lankan construction professionals in addressing challenges associated with climate change.

The results from this study provide a handful of guidance to construction industry professionals, national and international professional institutions, non-governmental organisations and other relevant authorities to address climate change within the built environment by identifying ways for improving the relevant key job attributes of construction industry professionals.

To the best of the authors’ knowledge, this is the first study that explores the job attributes of key Sri Lankan construction professionals in addressing the challenges associated with climate change.

The purpose of this study is to identify and evaluate the primary constraints that quantity surveying firms in Nigeria encounter while integrating indoor environmental quality (IEQ) principles into building designs.

The study used a quantitative approach by administering a well-structured questionnaire to 114 quantity surveyors. The collected data were analyzed using methods such as frequencies, percentages, mean item scores, Kruskal–Wallis test and exploratory factor analysis.

The top five ranked constraints were limited access to funding or financing options, limited availability of green materials, limited availability of insurance for sustainable buildings, limited availability of sustainable design resources and limited diversity and inclusivity within the design profession. Based on the factor analysis, the study identified six clusters of constraints: structural-related constraints, technical-related constraints, financial-related constraints, capacity-related constraints, legal-related constraints and culture-related constraints.

This study has several practical implications for quantity surveying firms, policymakers and industry stakeholders involved in building design and construction in Nigeria. The findings of this study can also inform future research on the integration of IEQ principles into building designs.

By identifying and structuring the clusters of constraints faced by quantity surveying firms in Nigeria when implementing IEQ principles, this study provides a novel approach to understanding the challenges associated with IEQ implementation in the building sector. This understanding can guide policymakers, industry stakeholders and quantity surveying firms in developing effective strategies to overcome these constraints and promote IEQ principles in building design and construction.

High levels of interior water vapour lead to condensation and black mould that in turn represent significant risks to residential properties and their occupants. Beliefs about window opening are good predictors of the degree to which householders will actually open windows to purge their homes of water vapour, including water vapour that they themselves generate. The present study tested if a short information-giving intervention could enhance householders’ beliefs that foster window opening as purge ventilation and, in turn, lead to greater window opening.

Data were collected from 242 UK householders with robust psychometrically sound measures embedded in an online self-report survey that also presented the intervention information.

The intervention led participants, and males in particular, to have significantly greater concerns about condensation and mould and significantly less concerns about heat loss costs arising from opening windows, and these altered beliefs in turn predicted a greater intention to open windows in the future.

By sharing simple information, surveyors and other building professionals can help householders take the simple step of opening their windows and so reduce the threats that condensation and mould present to themselves and their homes.

This is the first study to test (1) a time-based model that predicted the intervention would have a positive effect on specific window opening attitudes and that those new attitudes would in turn affect window opening intentions, and (2) if the intervention had different effects on men and women.

Research on measures to strengthen the implementation of indoor environmental quality (IEQ) principles has been scarce in developing countries such as Nigeria. Hence, this study sought to identify and assess the crucial measures for encouraging the adoption of IEQ principles in the Nigerian construction industry, specifically from the viewpoint of quantity surveyors.

To accomplish this objective, a quantitative research methodology was employed, utilizing a well-structured questionnaire distributed to quantity surveying (QS) firms in Nigeria. The collected data were examined using a range of statistical techniques such as frequencies, percentages, mean item scores (MISs), the Kruskal–Wallis test and exploratory factor analysis.

The top five ranked measures were as follows: offer financial incentives and tax breaks, develop educational materials and resources, establish clear and accessible reporting mechanisms, develop awards and recognition programs and provide advocacy and awareness campaigns. Factor analysis led to the categorization of the identified measures into four primary clusters: education and training, policy and regulation, incentivization and recognition and collaboration and networking. Consequently, these clusters were renamed the EPIC (Education and training, Policy and regulation, Incentivization and recognition and Collaboration and networking) framework, with each first letter representing a significant measure for fostering the adoption of IEQ principles.

Consequently, this study offers a robust foundation for understanding and implementing measures to enhance the adoption of IEQ principles within the Nigerian construction industry, ultimately benefiting stakeholders and improving the quality of built environments.

The EPIC framework designed in this study offers valuable insights for policymakers, construction industry professionals and other stakeholders interested in promoting IEQ principles, which can potentially lead to healthier, more comfortable and more sustainable built environments in Nigeria and beyond.

The paper assessed the required drivers of mentoring practices in construction-related firms: a perspective of the quantity surveying (QS) firms in Nigeria with a view to providing possible drivers for effective mentoring relationships in the respective construction firms.

Survey design was used to assess the level of knowledge, mentoring concept adoption and the required drivers of mentoring relationships in construction-related firms. QS firms in Abuja, Nigeria were sampled through the use of semi-structured questionnaires. A total of 149 questionnaires were administered to principal partners, partners, senior quantity surveyors and quantity surveyors in QS firms in Abuja through personal delivery. A total of 142 of them were returned and found suitable for analysis, representing 95.30% effective response rate. Percentage, mean, Kruskal–Wallis and factor analyses were utilized for the analysis of the data.

The study revealed an appreciable knowledge of mentoring concept but not so much with the adoption in the respective firms. This connotes that there is a problem with the adoption of mentoring concept in construction-related firms despite knowledge of the concept. Also revealed by the study, are the required drivers of mentoring practices in construction-related firms.

The findings show the required drivers of mentoring practices in construction-related firms and the recommendations to further the adoption and implementation of these drivers to ensure mentoring practices thrive in construction-related firms in the country.

This paper reveals the required drivers of mentoring practices in Nigerian construction-related firms and provides ways through which the drivers can be implemented in the construction firms.

This study is carried out to evaluate how well legal knowledge can be demonstrated by a built environment professional via the scenario-based approach to the learning of law modules.

A Delphi analysis of the advice provided by an MSC quantity surveying student, on a scenario-based legal problem arising due to a property contract, is carried out. The tendered legal advice was submitted as part of the assessment requirements for an MSc law module, following the university criteria, after the teaching of a law module. The student report, which attained an A-grade, and the assessment criteria used for marking/grading by the university were subsequently sent to 18 practicing lawyers, who were selected to constitute an expert panel, to independently judge the extent of legal knowledge demonstrated in the student report.

The Delphi analysis outcome showed that the expert panel holds a similar consensus view to the university on the level of legal knowledge demonstrated and by extension the effectiveness of the law module in imparting legal knowledge to a non-lawyer. The study outcome shows how well legal knowledge can be acquired and applied by a non-lawyer, within the context of the built environment, via scenario-based teaching of a law module.

This study serves as a preliminary step necessary to arouse further research toward empirically profiling the current outlook of a wider range of graduating students receiving scenario-based legal education in the built environment.

The main objective of this study is to evaluate the driving forces behind the adoption of indoor environmental quality (IEQ) principles in building designs from the perspectives of Nigerian quantity surveying firms.

A quantitative approach was used which involved administering a well-structured questionnaire to a sample of 114 quantity surveyors. The collected data were analyzed using various statistical methods, including frequencies, percentages, mean item scores, Kruskal–Wallis test and exploratory factor analysis.

The top five ranked drivers were climate change mitigation, conservation of natural resources, reduction of waste and pollution, use of sustainable building materials and development of new materials and building systems. Based on the factor analysis, the study identified five clusters of drivers: (1) health and well-being drivers (2) economic drivers (3) environmental drivers (4) innovation and technology drivers and (5) regulatory drivers.

The findings from this study suggest that to effectively integrate IEQ principles, quantity surveying firms should consider developing comprehensive guidelines and checklists that align with the identified drivers and clustered categories. These resources can serve as practical tools for project teams, facilitating a structured and holistic approach to the incorporation of IEQ factors throughout the project lifecycle.

The study’s identification of the top drivers and the subsequent clustering of these drivers into five distinct categories contributes to the existing body of knowledge on IEQ. This approach provides a structured framework for comprehensively understanding the factors influencing IEQ adoption, offering a valuable tool for researchers, policymakers and industry practitioners.

The proliferation of lean principles in the construction industry is offset by the enduring uncertainty among industry stakeholders regarding their respective roles in lean implementation. This uncertainty is further compounded by the scarcity of empirical investigations in this area. Consequently, this study undertakes the task of bridging this knowledge gap by identifying the critical roles of lean learners and their indispensable contributions to achieving successful lean implementation.

A qualitative exploratory approach informed by an interpretivism perspective was adopted. The case study strategy was employed to gather data from three contracting organisations that had implemented lean practices. Empirical data was collected through in-depth semi-structured interviews with fifteen industry experts and complemented by document reviews. To analyse the data, a code-based content analysis approach was employed using NVivo software, while Power BI software was utilised to develop a comprehensive force-directed graph visualisation.

The research findings substantiated nine lean learners and unveiled a set of seventy-three roles associated with them. The force-directed graph facilitated the identification of lean learners and their connections to the emerged roles. Notably, the graph highlighted the pivotal role played by project managers and internal lean trainers in ensuring the success of lean implementation, surpassing the contributions of other lean learners.

The implications of findings extend to industry professionals seeking to establish a robust lean learning framework to expedite lean implementation within the construction sector. This study not only provides a comprehensive definition of lean learners’ roles but also transcends specific construction types, making it a significant catalyst for global impact.

Improving buildability of building designs with the aid of buildability assessment is essential because of the effect of designs on construction. Despite the plethora of research into buildability reported over the years, a review of the literature shown a dearth of research into the factors supporting the implementation of buildability assessment. Because buildability assessment has been confirmed to be highly beneficial to construction business, this study aims to investigate the factors supporting the implementation of buildability assessment as a tool for buildability improvement using Nigeria as a representative case.

Survey research method was adopted for the study. Questionnaires were administered to a purposively selected group of architects, engineers, builders and quantity surveyors involved in construction project delivery within client, consulting and contracting organisations in Nigeria. A total of 368 questionnaires were distributed among the sampled participants, out of which, a total of 219 representing 60% were sufficiently filled and returned. Data collected were analysed using inferential and descriptive statistics.

The results revealed owner’s commitment, clients’ awareness of the benefits of conducting buildability assessment on building design, unity amongst different professionals in the construction industry, designers consider buildability important, adequate coordination amongst different design disciplines, adequate channel for co-ordination and communication between designers and constructors at the design stage and adequate support from the government as the top most seven factors supporting buildability assessment implementation in construction sector of Nigeria. Secondly, the results from the research revealed that there is no statistically significant difference in factors supporting buildability assessment implementation in construction between clients and consulting and contracting construction organisations in Nigeria.

The findings provide in-depth insight of the factors supporting the implementation of buildability assessment in construction that can help principal stakeholders in construction to facilitate development of strategies required in supporting the adoption and implementation of buildability assessment tool for buildability improvement.

Developing a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative.

Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall).

This research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost.

The current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context.

This research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making.