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One prominent force behind sustainable growth is the growth of smart cities. Governments worldwide are beginning to concentrate on the Smart City System (SCS) towards a sustainable future. The construction sector plays a significant role in the development projects for smart cities. Hence, paying attention to research initiatives for smart cities is necessary because of the need for cooperation between the construction industry and SCS in developing countries. The purpose of this study is to explore the impact of the SCS on the construction industry in Sri Lanka.

This study used a mixed approach comprising a series of expert interviews and two rounds of a questionnaire survey. Content and statistical analyses were used to analyse and validate the empirical data collected during the study.

The five most significant smart city elements affecting the construction industry were identified: technology and information technology infrastructure, environment, people, economy and governance, along with 15 significant enablers and 17 significant barriers of those smart city elements. Further, 18 significant strategies that can be adopted to overcome the barriers and enhance the enablers of those smart city elements were identified.

This study’s findings reveal that the synergy between the construction industry and the SCS would be a valuable reference for future studies in similar contexts. The construction industry in Sri Lanka will also benefit from the study findings, as the findings would help to improve the link between construction and smart cities. This study significantly benefits the society by revealing cost-effective ways to accelerate construction processes and develop cities sustainably.

Floods have been identified as the most frequent and threatening disaster in Sri Lanka amidst an increasing trend of natural and man-made disasters in the world. Subject experts state that disaster risk management should be based on the results of risk assessments, but flood risk management in Sri Lanka is seemingly not based on community-level flood risk assessments. Accordingly, the purpose of this paper is to introduce a community-level flood risk assessment method to the local context of Sri Lanka.

The sample (n = 425) for the study was selected using the stratified random sampling method, and the Deduru Oya basin was selected as the study area. The risk assessment model introduced by Bollin et al. (2003) was used for the current study, but with some modifications. Accordingly, 16 variables were selected for the risk assessment. Descriptive data analysis methods were used in the study.

Community-level flood risk assessment method was introduced. Variable index, flood risk index and flood risk map were developed for the study area. The Grama Niladari Divisions (GNDs) were grouped into five categories from very high risk to very low risk. The GNDs named Wirakumandaluwa, Thimbilla, Deduru Oya, Bangadeniya and Elivitiya were ranked as the most flood-risk GNDs, respectively.

This paper produces a flood risk assessment method for the local context. Flood risk in the study area was assessed based on people’s perceptions. Accordingly, the flood risk index and flood risk map for the study area were developed based on the empirical data. GNDs were ranked based on the flood risk index.

The purpose of this paper is to illustrate the development and testing of an innovative mobile application using design-based research.

This paper reports on the process of transformation of existing printed course material into digitized content through design-based research where design, research and practice were concurrently applied through several iterations of the mobile application. For this transformation, one session each from BSc in Nursing, Bachelor of Pharmacy and Bachelor of Medical Laboratory Sciences was selected. In the first phase of the design-based research, the main research question was formulated. In the second phase, a mobile learning application (OUSL MLearn) was designed and developed to address the research question. In the third phase, this application was evaluated by five groups of stakeholders: content experts to validate the content; educational technologists to check the alignment of technical and pedagogical features; novice users to check the overall effectiveness of the application; developer to develop the application, to check the ease of usage; and researchers to identify the impact of this innovation. These stakeholders were closely involved throughout the whole process which lasted over a period of four months. At the end of this development phase, the results were reflected upon and used for further enrichment.

It was observed that the developed mobile application was accessible, appealing and pedagogically constructive for users. However, optimization, development time, technical and organizational issues, workload of academics and production costs were identified as major challenges.

This study was based on the findings of a small sample of potential users.

The findings have implications for designing culturally adaptive interactive mobile applications.

This study will benefit practitioners to design culturally sensitive mobile learning courses and researchers to conduct design-based research.

The opportunities that the building information modeling (BIM) mode of project delivery presents warrant the need for the construction professionals to be adequately trained on BIM technology and processes. The purpose of this paper is to assess the training gaps that exist between the perceived and expected knowledge of BIM practice among construction professionals in Nigeria.

The study was carried out through a structured questionnaire survey administered on identifying training gaps among registered Nigerian construction professionals toward BIM adoption. Relevant information on the perceived and expected BIM mode of practices was systematically collected from 212 participants who are familiar with BIM concepts. The data generated were analyzed using descriptive statistics and gap analysis.

Gap analysis was employed in determining the significance of BIM training gap for various practices among the construction professionals. The most significant gaps in BIM practice with gap analysis value>1 are the project review technique and clash detection for architectural practice. Among quantity surveyors, cost estimating, preparation of bills of quantities and project budgeting are the practice areas where there are significant training gaps in adopting BIM. For engineering practices, the gap analysis reveals a significant training gap in design creation and coordination, as-built-modeling, clash detection and space management.

The research is limited to the perception of the respondents on actual and ideal BIM practices, not considering the process workflow, facility requirements and other issues that revolve round BIM adoption and implementation. It is also limited to professionals in the industry, and further studies will be appropriate to address these limitations.

The study reveals that there is a great need to meet the training gaps for BIM adoption in ensuring efficiency of construction project delivery.

The gaps that exist between the actual and expected BIM training were statistically established.

This paper aims to conduct a detailed analysis of the industrial practices currently being used in the geothermal energy industry and to determine whether they are contributing to any limitations. A HAZOP-based upgradation model for improvement in existing industrial practices is proposed to ensure the removal of inefficient conventional practices. The HAZOP-based upgradation model examines the setbacks, identifies its causes and consequences and suggests improvement methods comprising of modern-day technology.

This paper proposed a HAZOP-based upgradation model for improvement in existing industrial practices. The proposed HAZOP model identifies the drawbacks brought on by conventional practices and suggests improvements.

The study reviewed the challenges geothermal power plants currently face due to conventional practices and suggested a total of 22 upgradation recommendations. From those, a total of 11 upgradation modules comprising modern digital technology and Industry 4.0 elements were proposed to improve the existing practices in the geothermal energy industry. Autonomous robots, augmented reality, machine learning and Internet of Things were identified as useful methods for the upgradation of the existing geothermal energy system.

If proposed recommendations are incorporated, the efficiency of geothermal energy generation will increase as cumulating setbacks will no longer degrade the work output.

The proposed recommendation by the study will make way for Industry 4.0 integration with the geothermal energy sector.

The paper uses a proposed HAZOP-based upgradation model to review issues in existing industrial practices of the geothermal energy sector and recommends solutions to overcome operability issues using Industry 4.0 technologies.

The purpose of this paper is to report on primary research findings that sought to investigate and analyse salient issues on the implementation of 5D building information modelling (BIM) from the UK contractors’ perspective. Previous research and efforts have predominantly focussed on the use of technologies for cost estimation and quantity takeoff within a more traditional-led procurement, with a paucity of research focussing on how 5D BIM could facilitate costing within contractor-led procurement. This study fills this current knowledge gap and enhances the understanding of the specific costing challenges faced by contractors in contractor-led projects, leading to the development of 5D framework for use in future projects.

To develop a fully detailed understanding of the challenges and issues being faced in this regard, a phenomenological, qualitative-based study was undertaken through interviews involving 21 participants from UK-wide construction organisations. A thematic data analytical process was applied to the data to derive key issues, and this was then used to inform the development of a 5D-BIM costing framework.

Multi-disciplinary findings reveal a range of issues faced by contractors when implementing 5D BIM. These exist at strategic, operational and technological levels which require addressing successful implementation of 5D BIM on contractor-led projects adhering to Level 2 BIM standards. These findings cut across the range of stakeholders on contractor-led projects. Ultimately, the findings suggest strong commitment and leadership from organisational management are required to facilitate cost savings and generate accurate cost information.

This study highlights key issues for any party seeking to effectively deploy 5D BIM on a contractor-led construction project. A considerable cultural shift towards automating and digitising cost functions virtually, stronger collaborative working relationship relative to costing in design development, construction practice, maintenance and operation is required.

By analysing findings from primary research data, the work concludes with the development of a 5D BIM costing framework to support contractor-led projects which can be implemented to ensure that 5D BIM is successfully implemented.

Although studies have shown the relevance of building information modeling (BIM) in cost estimating process, efforts at investigating BIM based detailed cost estimating among professional quantity surveyors through quantitative approach are scanty. The purpose of this study is to identify and examine the usage of BIM-based detailed cost estimating software and assesses the drivers to BIM adoption within the Nigerian quantity surveying consulting firms.

A comprehensive literature review, pilot study and questionnaire survey were adopted. The survey targeted both the BIM users and non- BIM users’ quantity surveying consulting firms in Lagos, Nigeria. The data collected were analyzed using frequency, percentage, mean score, standard deviation, Mann–Whitney test and factor analysis.

The study found that 46.58 per cent of quantity surveying consulting firms are aware of BIM and have adopted it for detailed cost estimating, while 49.32 per cent of quantity surveying consulting firms are aware but have not adopted BIM-based detailed cost estimating, and 4.10 per cent of quantity surveying consulting firms are not aware at all. Also, the study identified various BIM-based detailed cost estimating software used in quantity surveying practices and found that Microsoft Excel is often used alongside 3D software, Autodesk QTO, Navisworks, Innovaya Composer and CostX are prevalent BIM software used for detailed cost estimating. In addition, the study identified 21 drivers to the adoption of BIM in quantity surveying practices. The result of factor analysis grouped the 21 identified drivers into five principal factors: improved whole lifecycle/design quality, enhanced decision and visualization, cost and time saving, marketing and support for quantity surveyor tasks and government and client pressure.

This study provides significant insight into the application of BIM to quantity surveying consulting practices, thereby enabling consultant quantity surveyors to make informed decisions to select BIM cost estimating software to suit their practices. Further, the study findings can be useful for individuals’, clients’ and contractors’ quantity surveyors to be fully aware of the opportunities BIM could bring in relation to their service delivery.

Accurate cost estimating, effective cost monitoring and control are essential elements to a construction project success. This study further emphasized the importance of BIM to quantity surveying practices, particularly in the area of the detailed cost estimating.

Happiness is an important mental emotion and yet becoming a major health concern nowadays. For this reason, better recognizing the objective understanding of how humans respond to event-related observations in their daily lives is especially important.

This paper uses non-intrusive technology (hyperspectral imaging [HSI]) for happiness recognition. Experimental setup is conducted for data collection in real-life environments where observers are showing spontaneous expressions of emotions (calm, happy, unhappy: angry) during the experimental process. Based on facial imaging captured from HSI, this work collects our emotional database defined as SWU Happiness DB and studies whether the physiological signal (i.e. tissue oxygen saturation [StO2], obtained by an optical absorption model) can be used to recognize observer happiness automatically. It proposes a novel method to capture local dynamic patterns (LDP) in facial regions, introducing local variations in facial StO₂ to fully use physiological characteristics with regard to hyperspectral patterns. Further, it applies a linear discriminant analysis-based support vector machine to recognize happiness patterns.

The results show that the best classification accuracy is 97.89 per cent, objectively demonstrating a feasible application of LDP features on happiness recognition.

This paper proposes a novel feature (i.e. LDP) to represent the local variations in facial StO₂ for modeling the active happiness. It provides a possible extension to the promising practical application.

Notwithstanding that numerous studies have focused on strategy in quantity surveying (QS) professional service firms, there is a paucity of investigation on the segmentation of QS professional services. The purpose of this study is to investigate the segmentation of QS services for diversification and a focus strategy formation.

This study adopts the positivist stance and quantitative approach in which a simple random sampling technique was used to select participants. In total, 110 survey questionnaires were administered to registered professional QS, out of which 79 completed questionnaires were returned for analysis.

The paper identifies three main QS service segments characterised by low, moderate and high competition. In addition, this study found that the concentration of traditional QS services in the building construction sector is due to the unwillingness of QS professional service firms to diversify into the non-construction sectors such as oil and gas. The diversification of QS services in the low competitive segment requires the adoption of agile approaches.

The study was limited to numeric analyses and so would be complemented by qualitative research in the future.

This paper is useful to QS professional service firms interested in diversifying their services into the non-construction sectors to enhance the pricing of their services.

Segmentation of QS services is fundamental to the formulation of focus strategy for non-construction sectors such as oil and gas and mining to enhance the pricing of QS professional services.

The purpose of this paper is to investigate how university academics from three different cultural and linguistic backgrounds perceived their own cultural context and how it influences on online learning.

The views of 30 faculty members from Sri Lanka, Pakistan and Mauritius who engaged in a six-week professional development online course were gathered through a self-reflection questionnaire, posts on an asynchronous discussion forum and personal self-reflections in journal entries. Content analysis of three asynchronous discussion forums indicated the emergence of categories and themes related to traditional culture and the impact of culture on online learning that were triangulated with questionnaire data and journal entries.

Cultural perceptions of Sri Lankans and Pakistanis showed similar patterns in their recognition that their cultures exhibit characteristics of high power distance, collectivism and feminine values, while there were no definite dimensional perspectives from the Mauritians. The inability to define their own cultural context using bi-polar dimensions may reflect the sociocultural context of Mauritius. While these frameworks may explain more traditional cultures like those in Sri Lanka and Pakistan, they are unlikely to be useful to define cultural characteristics when the society is diverse, multiethnic, multicultural and multilingual like Mauritius.

This study was based on a small sample of participants from three ethnic origins and cannot be generalized. It has generated questions for further research.

The findings have implications for accounting for culture in designing and delivering online courses.

This study will benefit instructional designers/curriculum designers/teachers to design culturally sensitive and culturally adaptive online courses.