Smart and Sustainable Built Environment最新文献

{"title":"Immersive virtual reality training for excavation safety and hazard identification","authors":"Z. Feng, R. Lovreglio, T. Yiu, Dwayne Mark Acosta, Banghao Sun, Nan Li","doi":"10.1108/sasbe-10-2022-0235","DOIUrl":"https://doi.org/10.1108/sasbe-10-2022-0235","url":null,"abstract":"PurposeIn the construction sector, site excavation is one of the most dangerous and challenging activities. Proper training can be an effective way to mitigate excavation hazards. Virtual reality (VR) has been used as an effective training tool to enhance safety performance in various industries. However, little attention has been paid to the potential of this technology for construction excavation safety training.Design/methodology/approachThis study proposes an immersive VR training system for excavation safety and hazard identification. The proposed VR training system was compared with a health and safety manual via a controlled experiment.FindingsResults based on scores obtained immediately after training indicate that VR training significantly enhanced practical performance, knowledge acquisition and self-efficacy. Results also show that knowledge was retained four weeks after training. In addition, VR training outperformed health and safety manuals regarding knowledge retention.Originality/valueThis study measures the practical performance to evaluate the effectiveness of the proposed VR training system. Also, this study compares the VR training system with a traditional training method by measuring knowledge acquisition and retention. The results demonstrate the potential of VR as a training tool for excavation safety and hazards.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45230585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Context-based learning for BIM: simulative role-playing games for strategic business implementations","authors":"Ozan Önder Özener","doi":"10.1108/sasbe-08-2022-0184","DOIUrl":"https://doi.org/10.1108/sasbe-08-2022-0184","url":null,"abstract":"PurposeThis paper presents a set of instrumental case studies for the context-based learning of BIM in the milieu of knowledge-based practice in the AEC industry. The study aimed to examine students' actions and perspectives in a simulated learning environment for real-world BIM processes. The core intent was to provide an in-depth understanding of strategic and functional BIM implementation by synthesizing a suggestive pedagogical framework based on context-based learning approaches.Design/methodology/approachDerived from context-based approaches and experiential learning methods such as role-play, problem-based and active learning, the study involved a set of doctoral-level case studies. In a qualitative research study, these cases were devised and organized around industry-focused simulations on various levels of BIM implementation strategies.FindingsResults from the case studies and the student responses suggest that the comprehensive evaluation of real-world BIM implementation simulations facilitates a solid understanding of the value of BIM. The participation of industry professionals catalyzes the development of strategic and functional BIM competencies.Originality/valueThe study proposes a well-structured and replicable BIM learning framework based on context-based learning approaches. The novel framework is adaptive and flexible for BIM education. It can provide students with the necessary skills, strategic vision and professional competencies for innovative practices in the 21st-century AEC Industry. The simulative learning settings, including the evaluation rubrics and connected instructional methods, can be implemented and further developed for similar education efforts.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49195581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simplified rating tool to evaluate sustainable practices of small-scale infrastructure projects in Australia – a comparative review","authors":"M. Sandanayake, Z. Vrcelj, Y. Bouras, H. Chau, Patrick Hastings","doi":"10.1108/sasbe-05-2022-0089","DOIUrl":"https://doi.org/10.1108/sasbe-05-2022-0089","url":null,"abstract":"PurposeThe present study aims to inform the requirements for developing a sustainable rating tool for small-scale infrastructure projects (SSIPs) through research findings.Design/methodology/approachA review-based comparative study of existing infrastructure sustainability (IS) rating tools for assessment of SSIPs is presented. Key stakeholder participants of the existing IS rating tools, are interviewed to identify existing barriers and requirements for sustainability rating. The study further presents possible rating tool options to optimise the sustainable performance evaluation of SSIPs.FindingsFindings of this study indicated that prevalent IS rating tools are majorly applied to large-scale infrastructure projects and sustainability of SSIPs are seldom assessed. Based on a literature review and series of interviews, it was found that user friendliness, efficient structure, training and technical support, cost effectiveness and stakeholder recognition are the five key requirements of a sustainability rating tool for SSIPs. Additionally, six sustainability assessment options were proposed for SSIPs which range from pathways for existing tools through to new, customisable tools. Upon comparison, a new modified tool with verification process and revised tool with defined grouping of sustainable criteria was more effective for evaluation of SSIPs.Research limitations/implicationsUse of case specific information for validation and framework development may lack generalisation. However, methodology can be used for future decision-making by making necessary adjustments to suit different local regional requirements.Originality/valueDespite lack of generalisation, the findings can lead to future general studies on sustainability of SSIPs. Findings of the study provide foundation knowledge and awareness for sustainability evaluation of SSIPs.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46190696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors influencing the intention to adopt green construction: an application of the theory of planned behaviour","authors":"P. Tunji-Olayeni, K. Kajimo-Shakantu, T. O. Ayodele","doi":"10.1108/sasbe-06-2022-0126","DOIUrl":"https://doi.org/10.1108/sasbe-06-2022-0126","url":null,"abstract":"PurposeThe aim of this paper is to assess the behavioural factors that influence professionals' intention to adopt green construction based on the theory of planned behaviour (TPB).Design/methodology/approachThe study adopted a quantitative research design with the use of online questionnaires to elicit information from construction professionals in South Africa. Descriptive statistics of frequencies, mean and standard deviation were used to analyse the data obtained from the survey. Linear regression was also used to assess the effect of behavioural factors on professionals' intention to adopt green construction.FindingsThe results showed that attitude and perceived behavioural control (PBC) have a significant effect on the intention to adopt green construction. These were significant at p < 0.05, having p-values of 0.000 and 0.015 respectively. The study also found that there was a positive disposition towards green construction, particularly with regards to insisting on green construction. This had a mean value of 3.99. There was also a high perception of succeeding in the execution of green projects with mean score of 3.76.Practical implicationsThe practical implication of the findings is that adoption of green construction in South Africa is majorly based on the positive attitude of stakeholders towards green construction and also the PBC or the perceived ease of executing green construction. However, these factors are not sufficient to generate long term commitment for green transformation among a critical mass of stakeholders in the South African construction industry. Hence, there is a need for focus on subjective norms (pressure) particularly from the government, to encourage the widespread adoption of green construction in South Africa.Originality/valueFindings present one of the pioneering efforts to empirically validate the influence of behavioural factors on the intention to adopt green construction in South Africa and the outcomes can provide policy directions and baseline data for further research.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48884660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparison of low-cost housing units for varying climatic regions in South Africa: a knowledge management approach","authors":"F. van Tonder, P. Rwelamila","doi":"10.1108/sasbe-11-2022-0237","DOIUrl":"https://doi.org/10.1108/sasbe-11-2022-0237","url":null,"abstract":"PurposeOne of the greatest challenges faced by the 1994 post-apartheid government in South Africa is the housing problem that has persisted for almost 30 years into democracy. Innovation in research and practice is required to address this problem. This paper aims to discuss the aforementioned objective.Design/methodology/approachThis paper presents an argument for housing knowledge management as one part of a much larger system of housing provision and critically compares information variations on one hypothetical, low-cost housing unit adapted for varying climatic regions. It aims to enquire if there is an overlap in information.FindingsThe findings do confirm a noteworthy overlap in the information of the varying units. Therefore, knowledge management of the information would prove effective and may contribute in part to housing provision.Research limitations/implicationsThe study is limited to assessing the information changes made to the contract documentation of the housing unit.Social implicationsThe paper argues that knowledge management of this overlapping information could impact housing provision by providing knowledge power to those affected by the housing problem.Originality/valueThe findings are a unique perspective presented through a knowledge management lens. In addition, the said knowledge management lens provides a platform to raise additional questions. When seeking answers to these questions, it is expected that research sub-themes would be identified focussing further research studies towards finding answers.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45937730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Learning-to-learn sand cone model integrated lean learning framework for construction industry","authors":"A. Parameswaran, K. Ranadewa","doi":"10.1108/sasbe-10-2022-0234","DOIUrl":"https://doi.org/10.1108/sasbe-10-2022-0234","url":null,"abstract":"PurposeThe lack of knowledge has hindered the successful implementation of lean in the construction industry. This has alarmed the need for lean learning practices. Out of numerous models, the learning-to-learn sand cone model received a wider acknowledgment for learning practices. Thus, this study aims to propose a learning-to-learn sand cone model integrated lean learning framework for the construction industry.Design/methodology/approachThe research adopted an interpretivism stance. A qualitative research approach was adopted for the study. Consequently, fifteen (15) semi-structured interviews and document reviews were carried out to collect data in three (3) cases selected through purposive sampling. Code-based content analysis was used to analyse the data.FindingsFifty-two (52) sub-activities pertaining to nine lean learners at each stage of the lean learning procedure were identified. The most significant practices in the lean learning procedure to continuously improve lean learning in the organisation were maintaining records, providing a performance update to senior management and preparing and distributing several hierarchical manuals for all levels of staff to aid in the implementation of lean approaches.Originality/valueThe findings of the research can be aided to successfully implement lean by following the identified sub-activities via various parties within the organisation. The proposed lean learning framework opens several research areas on lean learning in the construction industry. This is the first research to uncover a lean learning framework in the construction industry rather than at the educational institute level.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47560420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validating and testing a project delivery success model in construction: a mixed-method approach in Australia","authors":"A. Ghanbaripour, C. Langston, Roksana Jahan Tumpa, Gregory J. Skulmoski","doi":"10.1108/sasbe-09-2022-0200","DOIUrl":"https://doi.org/10.1108/sasbe-09-2022-0200","url":null,"abstract":"PurposeDespite considerable research on the subject, there is still some misunderstanding about what characterizes successful project delivery in construction projects. Evaluating project delivery success is crucial for organizations since it enables them to prepare for future growth through more effective project management mechanisms and rank the organization's projects for continuous improvement. There is considerable disagreement over a set of success criteria that can be applied to all kinds of projects when evaluating project delivery success, making it a complicated procedure for practitioners and scholars. This research seeks to alleviate the problem by validating and testing a systematic project delivery success model (3D integration model) in the Australian construction industry. The aim is to establish a dependable approach built upon prior research and reliable in evaluating delivery success for any project type.Design/methodology/approachBased on a novel project delivery success model, this research applies a case study methodology to analyse 40 construction projects undertaken by a single Australian project management consultancy. The research utilizes a mixed-method research approach and triangulates three sets of data. First, the project delivery success (PDS) scores of the projects are calculated by the model. Second, a qualitative analysis targeting the performance of the same projects using a different system called the performance assessment review (PAR) scores was obtained. These culminate in two sets of ranking. The third step seeks validation of results from the head of the partnering organization that has undertaken the projects.FindingsThe findings of this study indicate that the 3D integration model is accurate and reliable in measuring the success of project delivery in construction projects of various sizes, locations and durations. While the model uses six key performance indicators (KPIs) to measure delivery success, it is evident that three of these may significantly improve the likelihood of PDS: value, speed and impact. Project managers should focus on these priority aspects of performance to generate better results.Research limitations/implicationsRestrictions inherent to the case study approach are identified for this mixed-method multiple-case study research. There is a limitation on the sample size in this study. Despite the researcher's best efforts, no other firm was willing to share such essential data; therefore, only 40 case studies could be analysed. Nonetheless, the number of case studies met the literature's requirements for adequate units for multiple-case research. This research only looked at Australian construction projects. Thus, the conclusions may not seem applicable to other countries or industries. The authors investigated testing the PDS in the construction sector. It can assist in improving efficiency and resource optimization in this area. Nonetheless, the same technique may be used to anal","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48830993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asset information requirements for blockchain-based digital twins: a data-driven predictive analytics perspective","authors":"Benjamin Hellenborn, Oscar Eliasson, I. Yitmen, Habib Sadri","doi":"10.1108/sasbe-08-2022-0183","DOIUrl":"https://doi.org/10.1108/sasbe-08-2022-0183","url":null,"abstract":"PurposeThe purpose of this study is to identify the key data categories and characteristics defined by asset information requirements (AIR) and how this affects the development and maintenance of an asset information model (AIM) for a blockchain-based digital twin (DT).Design/methodology/approachA mixed-method approach involving qualitative and quantitative analysis was used to gather empirical data through semistructured interviews and a digital questionnaire survey with an emphasis on AIR for blockchain-based DTs from a data-driven predictive analytics perspective.FindingsBased on the analysis of results three key data categories were identified, core data, static operation and maintenance (OM) data, and dynamic OM data, along with the data characteristics required to perform data-driven predictive analytics through artificial intelligence (AI) in a blockchain-based DT platform. The findings also include how the creation and maintenance of an AIM is affected in this context.Practical implicationsThe key data categories and characteristics specified through AIR to support predictive data-driven analytics through AI in a blockchain-based DT will contribute to the development and maintenance of an AIM.Originality/valueThe research explores the process of defining, delivering and maintaining the AIM and the potential use of blockchain technology (BCT) as a facilitator for data trust, integrity and security.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45439653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Project-based learning for proactive skills development of postgraduate students in solar energy building design digitalisation","authors":"C. Gunarathna, R. Yang, Pabasara Wijeratne Mudiyanselage, Gayashan Amarasinghe, T. Samarasinghalage, R. Weerasinghe, Hongying Zhao, Chaoxiang Zhang, Chengyang Liu, Kaige Wang, Sujan Dev Sureshkumar Jayakumari","doi":"10.1108/sasbe-08-2022-0173","DOIUrl":"https://doi.org/10.1108/sasbe-08-2022-0173","url":null,"abstract":"PurposeProject-based learning is one of the most effective methods of transferring academic knowledge and skills to real-world situations in higher education. However, its effectiveness is not much investigated focusing on the students' narrative. This study aims at evaluating the students' experience and perspective on adopting project-based learning in master by research and doctoral programmes for proactive skills development.Design/methodology/approachThis study evaluates the self-reflection of 10 postgraduate students and their supervisor who have participated in developing a software tool for solar photovoltaics (PV) integrated building envelope design, management and the related education.FindingsFindings reveal that the students have effectively improved their knowledge on the subject via collaborating with the industry, self-learning/observation, peer learning, problem-solving and teamwork. Dividing the project into student-led tasks has improved the decision-making and leadership skills, risks identification, planning and time management skills. The overall experience has (1) built up confidence in students, (2) enhanced their creativity and critical thinking and (3) improved their proactive skills and context knowledge.Originality/valueA clear research gap can be seen in exploring the effectiveness of project-based learning for master by research and doctoral programmes, which mainly focus on extensive research. These programmes do not necessarily focus on developing students' proactive skills, which is the main requirement if they intend to work in the construction industry. This paper addresses the above research gap by demonstrating the effectiveness of project-based learning for developing the proactive skills in a research-intensive learning environment.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48591017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Major opportunities of digital twins for smart buildings: a scientometric and content analysis","authors":"F. A. Ghansah, Weisheng Lu","doi":"10.1108/sasbe-09-2022-0192","DOIUrl":"https://doi.org/10.1108/sasbe-09-2022-0192","url":null,"abstract":"PurposeDigital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.Design/methodology/approachScientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.FindingsThe study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.Practical implicationsAll stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.Originality/valueThis study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45038792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}