Pub Date : 2023-11-21DOI: 10.1108/sasbe-06-2023-0155
Anand Thakur, Jithin Krishnan K, Alisha Ansari
Purpose The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).Design/methodology/approach The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.Findings The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.Research limitations/implications The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.Originality/value This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.
{"title":"Powering the transition: examining factors influencing the intention to adopt electric vehicles","authors":"Anand Thakur, Jithin Krishnan K, Alisha Ansari","doi":"10.1108/sasbe-06-2023-0155","DOIUrl":"https://doi.org/10.1108/sasbe-06-2023-0155","url":null,"abstract":"Purpose The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).Design/methodology/approach The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.Findings The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.Research limitations/implications The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.Originality/value This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"17 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139252605","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}
Pub Date : 2023-11-17DOI: 10.1108/sasbe-07-2023-0169
Peiman Tavakoli, I. Yitmen, Habib Sadri, Afshin Taheri
Purpose The purpose of this study is to focus on structured data provision and asset information model maintenance and develop a data provenance model on a blockchain-based digital twin smart and sustainable built environment (DT) for predictive asset management (PAM) in building facilities.Design/methodology/approach Qualitative research data were collected through a comprehensive scoping review of secondary sources. Additionally, primary data were gathered through interviews with industry specialists. The analysis of the data served as the basis for developing blockchain-based DT data provenance models and scenarios. A case study involving a conference room in an office building in Stockholm was conducted to assess the proposed data provenance model. The implementation utilized the Remix Ethereum platform and Sepolia testnet.Findings Based on the analysis of results, a data provenance model on blockchain-based DT which ensures the reliability and trustworthiness of data used in PAM processes was developed. This was achieved by providing a transparent and immutable record of data origin, ownership and lineage.Practical implications The proposed model enables decentralized applications (DApps) to publish real-time data obtained from dynamic operations and maintenance processes, enhancing the reliability and effectiveness of data for PAM.Originality/value The research presents a data provenance model on a blockchain-based DT, specifically tailored to PAM in building facilities. The proposed model enhances decision-making processes related to PAM by ensuring data reliability and trustworthiness and providing valuable insights for specialists and stakeholders interested in the application of blockchain technology in asset management and data provenance.
{"title":"Blockchain-based digital twin data provenance for predictive asset management in building facilities","authors":"Peiman Tavakoli, I. Yitmen, Habib Sadri, Afshin Taheri","doi":"10.1108/sasbe-07-2023-0169","DOIUrl":"https://doi.org/10.1108/sasbe-07-2023-0169","url":null,"abstract":"Purpose The purpose of this study is to focus on structured data provision and asset information model maintenance and develop a data provenance model on a blockchain-based digital twin smart and sustainable built environment (DT) for predictive asset management (PAM) in building facilities.Design/methodology/approach Qualitative research data were collected through a comprehensive scoping review of secondary sources. Additionally, primary data were gathered through interviews with industry specialists. The analysis of the data served as the basis for developing blockchain-based DT data provenance models and scenarios. A case study involving a conference room in an office building in Stockholm was conducted to assess the proposed data provenance model. The implementation utilized the Remix Ethereum platform and Sepolia testnet.Findings Based on the analysis of results, a data provenance model on blockchain-based DT which ensures the reliability and trustworthiness of data used in PAM processes was developed. This was achieved by providing a transparent and immutable record of data origin, ownership and lineage.Practical implications The proposed model enables decentralized applications (DApps) to publish real-time data obtained from dynamic operations and maintenance processes, enhancing the reliability and effectiveness of data for PAM.Originality/value The research presents a data provenance model on a blockchain-based DT, specifically tailored to PAM in building facilities. The proposed model enhances decision-making processes related to PAM by ensuring data reliability and trustworthiness and providing valuable insights for specialists and stakeholders interested in the application of blockchain technology in asset management and data provenance.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"73 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263794","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}
Pub Date : 2023-11-10DOI: 10.1108/sasbe-05-2023-0117
Hayford Pittri, Kofi Agyekum, Edward Ayebeng Botchway, João Alencastro, Olugbenga Timo Oladinrin, Annabel Morkporkpor Ami Dompey
Purpose The design for deconstruction (DfD) technique, a contemporaneous solution to demolition by optimizing disassembly activities to enable reuse, has recently emerged with several promises to promote the circular economy. However, little attention has been given to its implementation among design professionals, especially in the Global South. Therefore, this study aims to explore the drivers for DfD implementation among design professionals in the Ghanaian construction industry (GCI). Design/methodology/approach The study adopted a mixed research approach (explanatory sequential design) with an initial quantitative instrument phase, followed by a qualitative data collection phase. Data from the survey were analyzed using mean, standard deviation, one-sample t -Test, and normalization value (NV) test after a review of pertinent literature. These data were then validated through semistructured interviews with ten design professionals with in-depth knowledge of DfD. Findings The findings revealed that although all ten drivers are important, the eight key drivers for the DfD implementation were identified as, in order of importance, “Availability of computer software applications regarding DfD,” “Inclusion of DfD in the formal education of design professionals,” “Increasing public awareness of the concept of DfD,” “Organizing workshops/seminars for design professionals on the concept of DfD,” “Availability of DfD training,” “Regulation regarding DfD,” “Industry guidance regarding DfD” and “Establishing a market for salvaged construction components.” Originality/value This study's findings provide insights into an under-investigated topic in Ghana and offer new and additional information and insights into the current state-of-the-art on the factors that drive DfD implementation.
{"title":"Drivers for design for deconstruction (DfD) implementation among design professionals","authors":"Hayford Pittri, Kofi Agyekum, Edward Ayebeng Botchway, João Alencastro, Olugbenga Timo Oladinrin, Annabel Morkporkpor Ami Dompey","doi":"10.1108/sasbe-05-2023-0117","DOIUrl":"https://doi.org/10.1108/sasbe-05-2023-0117","url":null,"abstract":"Purpose The design for deconstruction (DfD) technique, a contemporaneous solution to demolition by optimizing disassembly activities to enable reuse, has recently emerged with several promises to promote the circular economy. However, little attention has been given to its implementation among design professionals, especially in the Global South. Therefore, this study aims to explore the drivers for DfD implementation among design professionals in the Ghanaian construction industry (GCI). Design/methodology/approach The study adopted a mixed research approach (explanatory sequential design) with an initial quantitative instrument phase, followed by a qualitative data collection phase. Data from the survey were analyzed using mean, standard deviation, one-sample t -Test, and normalization value (NV) test after a review of pertinent literature. These data were then validated through semistructured interviews with ten design professionals with in-depth knowledge of DfD. Findings The findings revealed that although all ten drivers are important, the eight key drivers for the DfD implementation were identified as, in order of importance, “Availability of computer software applications regarding DfD,” “Inclusion of DfD in the formal education of design professionals,” “Increasing public awareness of the concept of DfD,” “Organizing workshops/seminars for design professionals on the concept of DfD,” “Availability of DfD training,” “Regulation regarding DfD,” “Industry guidance regarding DfD” and “Establishing a market for salvaged construction components.” Originality/value This study's findings provide insights into an under-investigated topic in Ghana and offer new and additional information and insights into the current state-of-the-art on the factors that drive DfD implementation.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"62 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135092101","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}
Pub Date : 2023-11-07DOI: 10.1108/sasbe-03-2023-0057
Udoka Okonta, Amin Hosseinian-Far, Dilshad Sarwar
Purpose With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately integrated into the planning process. Given the complexities involved, a whole systems thinking framework provides a useful platform for rail transport planners. Design/methodology/approach This paper proposes a simple, adoptable framework utilising systems thinking concepts and techniques taking into cognisance the key stakeholders. Milton Keynes in the United Kingdom is the adopted case study. Findings Selected systems thinking tools and techniques are adopted to develop a framework for mapping stakeholders and attributes when developing sustainable rail transport systems, taking note of their core functionalities and the complex systems wherein they exist. Practical implications The desire to build future (smart) cities is to effectively match infrastructural resources with a rapidly growing population, and the railway sector can play a strategic role in building a much more competitive low-carbon-emission transport system, which is a driving force for sustainable development. Social implications The urban rail service has become vital to urban development as railway stations serve as hubs for sustainable mobility to meet local requirements. Moreover, it takes extra effort to input railway development into smart city plans, as it is a herculean task to get governments to focus on it with clarity of purpose in passing legislation. Originality/value The developed framework reduces complexities when planning and designing rail transport systems compared to many of the existing reductionist planning approaches. The simplicity of the framework would also make it easily adoptable by a wide range of users.
{"title":"A systemic approach to sustainable railway infrastructure planning: the case study of Milton Keynes","authors":"Udoka Okonta, Amin Hosseinian-Far, Dilshad Sarwar","doi":"10.1108/sasbe-03-2023-0057","DOIUrl":"https://doi.org/10.1108/sasbe-03-2023-0057","url":null,"abstract":"Purpose With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately integrated into the planning process. Given the complexities involved, a whole systems thinking framework provides a useful platform for rail transport planners. Design/methodology/approach This paper proposes a simple, adoptable framework utilising systems thinking concepts and techniques taking into cognisance the key stakeholders. Milton Keynes in the United Kingdom is the adopted case study. Findings Selected systems thinking tools and techniques are adopted to develop a framework for mapping stakeholders and attributes when developing sustainable rail transport systems, taking note of their core functionalities and the complex systems wherein they exist. Practical implications The desire to build future (smart) cities is to effectively match infrastructural resources with a rapidly growing population, and the railway sector can play a strategic role in building a much more competitive low-carbon-emission transport system, which is a driving force for sustainable development. Social implications The urban rail service has become vital to urban development as railway stations serve as hubs for sustainable mobility to meet local requirements. Moreover, it takes extra effort to input railway development into smart city plans, as it is a herculean task to get governments to focus on it with clarity of purpose in passing legislation. Originality/value The developed framework reduces complexities when planning and designing rail transport systems compared to many of the existing reductionist planning approaches. The simplicity of the framework would also make it easily adoptable by a wide range of users.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"48 41","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135432347","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}
Pub Date : 2023-11-01DOI: 10.1108/sasbe-02-2023-0036
Mahnoor Hasan, Fodil Fadli
Purpose There is lack of knowledge about how the existing streets need to be redesigned and the infrastructural changes that need to be made to adopt autonomous vehicles. The purpose of this study is to investigate the infrastructure requirements of autonomous vehicles in terms of (1) lane widths, (2) parking spaces, (3) drop-off zones and (4) other facilities, followed by analyzing them and suggesting changes in the existing urban design of Msheireb Downtown Doha (MDD). Design/methodology/approach Mixed method of combining both qualitative (secondary research of analyzing the existing data about the urban design guidelines for an autonomous future, observations of the existing infrastructure) and quantitative methods (on-site measurements of pedestrian walkways and road lane widths) is used. Findings The outcome of the research consists of a series of major infrastructural changes with regard to lane widths, parking spaces, pick-up and drop-off zones and other facilities needed for the deployment of autonomous vehicles. Practical implications The results imply that Qatar can benefit by adopting the proposed urban design suggestions for the implementation of autonomous vehicles on the streets of MDD in particular, and smart cities of Qatar and the region in general. Social implications The proposed changes can work as a reference and serve as a possible setting for addressing Autonomous Vehicle preparations in emerging cities. Originality/value The proposed urban design changes can be adapted for an autonomous future in emerging cities.
{"title":"Street re-design for the adoption of autonomous vehicles: case of the city of Doha, Qatar","authors":"Mahnoor Hasan, Fodil Fadli","doi":"10.1108/sasbe-02-2023-0036","DOIUrl":"https://doi.org/10.1108/sasbe-02-2023-0036","url":null,"abstract":"Purpose There is lack of knowledge about how the existing streets need to be redesigned and the infrastructural changes that need to be made to adopt autonomous vehicles. The purpose of this study is to investigate the infrastructure requirements of autonomous vehicles in terms of (1) lane widths, (2) parking spaces, (3) drop-off zones and (4) other facilities, followed by analyzing them and suggesting changes in the existing urban design of Msheireb Downtown Doha (MDD). Design/methodology/approach Mixed method of combining both qualitative (secondary research of analyzing the existing data about the urban design guidelines for an autonomous future, observations of the existing infrastructure) and quantitative methods (on-site measurements of pedestrian walkways and road lane widths) is used. Findings The outcome of the research consists of a series of major infrastructural changes with regard to lane widths, parking spaces, pick-up and drop-off zones and other facilities needed for the deployment of autonomous vehicles. Practical implications The results imply that Qatar can benefit by adopting the proposed urban design suggestions for the implementation of autonomous vehicles on the streets of MDD in particular, and smart cities of Qatar and the region in general. Social implications The proposed changes can work as a reference and serve as a possible setting for addressing Autonomous Vehicle preparations in emerging cities. Originality/value The proposed urban design changes can be adapted for an autonomous future in emerging cities.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"81 2-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135162967","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}
Pub Date : 2023-10-31DOI: 10.1108/sasbe-04-2023-0094
Edmond Wai-Ming Lam, Albert P.C. Chan, Timothy O. Olawumi, Irene Wong, Kayode Olatunji Kazeem
Purpose Sustainability has been the subject of several scientific investigations. Many researchers in the construction industry have also examined a range of sustainability-related studies. However, few studies have thoroughly reviewed implementing sustainability concepts in high-rise residential buildings (HRRBs). Design/methodology/approach By adopting scientometrics and systematic review (SR), this study seeks to map out recent sustainability trends and concepts in the design, development and operation of HRRBs worldwide and in Hong Kong. With a focus on bibliographic records from the Web of Science (WoS) database, 1,395 journal articles from 2013 to 2022 were analysed. Furthermore, thirteen studies were systematically reviewed. Findings The SR indicated that sustainable practices in developing Hong Kong's HRRBs emphasised zero-carbon buildings, reduced energy usage and energy-efficient retrofitting. Likewise, terms such as BIM, urban density, life cycle assessment and system dynamics are strongly connected with clusters that include “residential buildings”, “high-rise buildings” and “high-rise residential buildings”. The study identified significant themes in establishing HRRBs by combining sustainable practices, emphasising urban governance and policy management, building performance and thermal comfort, energy and design optimisation, occupant behaviour and sensitivity analysis. Core sustainability ideas have improved resource management, air quality management and knowledge of user behaviour in HRRBs. Originality/value The study allows researchers and practitioners to explore future research directions in the built environment per the application of sustainable concepts in the development of HRRBs from design, construction and post-construction phases.
可持续性一直是一些科学研究的主题。建筑行业的许多研究人员也进行了一系列与可持续性相关的研究。然而，很少有研究对可持续发展概念在高层住宅建筑中的实施进行了深入的研究。设计/方法/方法本研究采用科学计量学和系统回顾(SR)方法，旨在探讨世界各地及香港在设计、发展和运作人体健康设施方面的可持续发展趋势和概念。以Web of Science (WoS)数据库中的书目记录为重点，分析了2013年至2022年的1395篇期刊文章。此外，系统地回顾了13项研究。研究结果研究报告指出，香港在发展高质素房屋时所采取的可持续发展措施，强调零碳建筑、减少能源消耗和进行节能改造。同样，BIM、城市密度、生命周期评估和系统动力学等术语与包括“住宅”、“高层建筑”和“高层住宅”在内的集群密切相关。该研究通过结合可持续实践，强调城市治理和政策管理、建筑性能和热舒适、能源和设计优化、居住者行为和敏感性分析，确定了建立HRRBs的重要主题。核心的可持续性理念改善了资源管理、空气质量管理和HRRBs的用户行为知识。独创性/价值这项研究让研究人员和实践者从设计、建造和后期阶段，通过可持续发展概念的应用，探索建筑环境的未来研究方向。
{"title":"Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review","authors":"Edmond Wai-Ming Lam, Albert P.C. Chan, Timothy O. Olawumi, Irene Wong, Kayode Olatunji Kazeem","doi":"10.1108/sasbe-04-2023-0094","DOIUrl":"https://doi.org/10.1108/sasbe-04-2023-0094","url":null,"abstract":"Purpose Sustainability has been the subject of several scientific investigations. Many researchers in the construction industry have also examined a range of sustainability-related studies. However, few studies have thoroughly reviewed implementing sustainability concepts in high-rise residential buildings (HRRBs). Design/methodology/approach By adopting scientometrics and systematic review (SR), this study seeks to map out recent sustainability trends and concepts in the design, development and operation of HRRBs worldwide and in Hong Kong. With a focus on bibliographic records from the Web of Science (WoS) database, 1,395 journal articles from 2013 to 2022 were analysed. Furthermore, thirteen studies were systematically reviewed. Findings The SR indicated that sustainable practices in developing Hong Kong's HRRBs emphasised zero-carbon buildings, reduced energy usage and energy-efficient retrofitting. Likewise, terms such as BIM, urban density, life cycle assessment and system dynamics are strongly connected with clusters that include “residential buildings”, “high-rise buildings” and “high-rise residential buildings”. The study identified significant themes in establishing HRRBs by combining sustainable practices, emphasising urban governance and policy management, building performance and thermal comfort, energy and design optimisation, occupant behaviour and sensitivity analysis. Core sustainability ideas have improved resource management, air quality management and knowledge of user behaviour in HRRBs. Originality/value The study allows researchers and practitioners to explore future research directions in the built environment per the application of sustainable concepts in the development of HRRBs from design, construction and post-construction phases.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135928641","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}
Pub Date : 2023-10-30DOI: 10.1108/sasbe-05-2023-0118
Lovelin Ifeoma Obi, Mohammed Arif, Steve Michael Lamb, Ilnaz Ashayeri
Purpose The United Kingdom (UK) construction sector is transforming with increasing confidence in offsite construction (OSC) solutions following its accrued benefits. To sustain this momentum, exploring viable strategies to promote successful OSC implementation is a top priority. This paper aims to identify and establish interrelationships and logical dependencies of critical success factors (CSFs) for implementing OSC on building projects in the UK. Design/methodology/approach This study utilised a qualitative research approach. Following a critical review of extant literature, brainstorming and focus group sessions were carried out with OSC experts in the UK construction industry to identify and contextualise CSFs for OSC implementation. Interpretive structural modelling (ISM) and matrix impact cross-reference multiplication applied to a classification (MICMAC) were used to analyse and model the interrelationships between the contextualised CSFs. Findings The study identified eighteen CSFs for implementing OSC on projects in the UK positioned on seven hierarchical levels and clustered into dependent, linkage and independent factors. The top five CSFs established were client commitment, top management support, adequate OSC knowledge and experience, flexible leadership and flexible business models. These were located at the base of the ISM model, possessing the highest driving powers in facilitating the successful implementation of OSC on projects. Originality/value This study established a hierarchical interrelationship and the importance of the CSFs influencing the successful implementation of OSC. This would assist OSC clients and project teams in identifying and prioritising particular areas for strategic actions, which offer advantages in pursuing successful OSC project outcomes in the UK. Previous research on OSC implementation in the UK had not examined CSFs' interrelationships.
{"title":"Establishing interrelationships and dependencies of critical success factors for implementing offsite construction in the UK","authors":"Lovelin Ifeoma Obi, Mohammed Arif, Steve Michael Lamb, Ilnaz Ashayeri","doi":"10.1108/sasbe-05-2023-0118","DOIUrl":"https://doi.org/10.1108/sasbe-05-2023-0118","url":null,"abstract":"Purpose The United Kingdom (UK) construction sector is transforming with increasing confidence in offsite construction (OSC) solutions following its accrued benefits. To sustain this momentum, exploring viable strategies to promote successful OSC implementation is a top priority. This paper aims to identify and establish interrelationships and logical dependencies of critical success factors (CSFs) for implementing OSC on building projects in the UK. Design/methodology/approach This study utilised a qualitative research approach. Following a critical review of extant literature, brainstorming and focus group sessions were carried out with OSC experts in the UK construction industry to identify and contextualise CSFs for OSC implementation. Interpretive structural modelling (ISM) and matrix impact cross-reference multiplication applied to a classification (MICMAC) were used to analyse and model the interrelationships between the contextualised CSFs. Findings The study identified eighteen CSFs for implementing OSC on projects in the UK positioned on seven hierarchical levels and clustered into dependent, linkage and independent factors. The top five CSFs established were client commitment, top management support, adequate OSC knowledge and experience, flexible leadership and flexible business models. These were located at the base of the ISM model, possessing the highest driving powers in facilitating the successful implementation of OSC on projects. Originality/value This study established a hierarchical interrelationship and the importance of the CSFs influencing the successful implementation of OSC. This would assist OSC clients and project teams in identifying and prioritising particular areas for strategic actions, which offer advantages in pursuing successful OSC project outcomes in the UK. Previous research on OSC implementation in the UK had not examined CSFs' interrelationships.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"535 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136105942","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}
Pub Date : 2023-10-20DOI: 10.1108/sasbe-05-2023-0109
Bokolo Anthony Jnr
Purpose The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure. Design/methodology/approach This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities. Findings Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition. Practical implications Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services. Social implications This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments. Originality/value This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.
{"title":"Sustainable mobility governance in smart cities for urban policy development – a scoping review and conceptual model","authors":"Bokolo Anthony Jnr","doi":"10.1108/sasbe-05-2023-0109","DOIUrl":"https://doi.org/10.1108/sasbe-05-2023-0109","url":null,"abstract":"Purpose The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure. Design/methodology/approach This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities. Findings Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition. Practical implications Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services. Social implications This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments. Originality/value This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"69 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567775","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}
Pub Date : 2023-10-19DOI: 10.1108/sasbe-07-2023-0167
Niv Yonat, Shabtai Isaac, Igal M. Shohet
Purpose The purpose of this research is to provide a theoretical and practical theory and application that provides understanding and means to manage complex infrastructures. Design/methodology/approach In this research, complexity, nonlinear, noncontinuous effects and aleatoric and data unknowns are bypassed by directly addressing systems' responses. Graph theory, statistics and digital signal processing (DSP) tools are applied within a theoretical framework of the theory of faults (ToF). Motivational complex infrastructure systems (CISs) are difficult to model. Data are often missing or erroneous, changes are not well documented and processes are not well understood. On top of it, under complexity, stalwart analytical tools have limited predictive power. The aleatoric risk, such as rain and risk cascading from interconnected infrastructures, is unpredictable. Mitigation, response and recovery efforts are adversely affected. Findings The theory and application are presented and demonstrated by a step-by-step development of an application to a municipal drainage system. A database of faults is analyzed to produce system statistics, spatio-temporal morphology, behavior and traits. The gained understanding is compared to the physical system's design and to its modus operandi. Implications for design and maintenance are inferred; DSP tools to manage the system in real time are developed. Research limitations/implications Sociological systems are interest driven. Some events are intentionally created and directed to the benefit and detriment of the opposing parties in a project. Those events may be explained and possibly predicted by understanding power plays, not power functions. For those events, sociological game theories provide better explanatory value than mathematical gain theories. Practical implications The theory provides a thematic network for modeling and resolving aleatoric uncertainty in engineering and sociological systems. The framework may be elaborated to fields such as energy, healthcare and critical infrastructure. Social implications ToF provides a framework for the modeling and prediction of faults generated by inherent aleatoric uncertainties in social and technological systems. Therefore, the framework and theory lay the basis for automated monitoring and control of aleatoric uncertainties such as mechanical failures and human errors and the development of mitigation systems. Originality/value The contribution of this research is in the provision of an explicatory theory and a management paradigm for complex systems. This theory is applicable to a wide variety of fields from facilities and construction project management to maintenance and from academic studies to commercial use.
{"title":"Complex infrastructure systems analysis and management: the theory of faults","authors":"Niv Yonat, Shabtai Isaac, Igal M. Shohet","doi":"10.1108/sasbe-07-2023-0167","DOIUrl":"https://doi.org/10.1108/sasbe-07-2023-0167","url":null,"abstract":"Purpose The purpose of this research is to provide a theoretical and practical theory and application that provides understanding and means to manage complex infrastructures. Design/methodology/approach In this research, complexity, nonlinear, noncontinuous effects and aleatoric and data unknowns are bypassed by directly addressing systems' responses. Graph theory, statistics and digital signal processing (DSP) tools are applied within a theoretical framework of the theory of faults (ToF). Motivational complex infrastructure systems (CISs) are difficult to model. Data are often missing or erroneous, changes are not well documented and processes are not well understood. On top of it, under complexity, stalwart analytical tools have limited predictive power. The aleatoric risk, such as rain and risk cascading from interconnected infrastructures, is unpredictable. Mitigation, response and recovery efforts are adversely affected. Findings The theory and application are presented and demonstrated by a step-by-step development of an application to a municipal drainage system. A database of faults is analyzed to produce system statistics, spatio-temporal morphology, behavior and traits. The gained understanding is compared to the physical system's design and to its modus operandi. Implications for design and maintenance are inferred; DSP tools to manage the system in real time are developed. Research limitations/implications Sociological systems are interest driven. Some events are intentionally created and directed to the benefit and detriment of the opposing parties in a project. Those events may be explained and possibly predicted by understanding power plays, not power functions. For those events, sociological game theories provide better explanatory value than mathematical gain theories. Practical implications The theory provides a thematic network for modeling and resolving aleatoric uncertainty in engineering and sociological systems. The framework may be elaborated to fields such as energy, healthcare and critical infrastructure. Social implications ToF provides a framework for the modeling and prediction of faults generated by inherent aleatoric uncertainties in social and technological systems. Therefore, the framework and theory lay the basis for automated monitoring and control of aleatoric uncertainties such as mechanical failures and human errors and the development of mitigation systems. Originality/value The contribution of this research is in the provision of an explicatory theory and a management paradigm for complex systems. This theory is applicable to a wide variety of fields from facilities and construction project management to maintenance and from academic studies to commercial use.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135667027","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}
Purpose Low back disorder is one of the most prevalent and costly injuries in the construction industry. Back-support exoskeletons are increasingly perceived as promising solutions. However, the intended benefits of exoskeletons may not be realized if intention-to-use the device is low. Social influence could increase intention-to-use exoskeletons. This study aims to evaluate the impact of social influence on construction workers' intention-to-use back-support exoskeletons. Design/methodology/approach A field study involving 37 construction workers was conducted, with workers who used exoskeleton for one week, and their peers and supervisors. Data were collected using questionnaires and semi-structured interviews, and analyzed using descriptive statistics and thematic analysis, respectively. Findings The workers felt that the exoskeleton is easy to use and the functions are well integrated. Workers' intention-to-use exoskeleton was mainly influenced by employers providing and requiring the use of the device. The attitude of the workers and the perception of peers and supervisors did not have a significant impact on workers' intention-to-use exoskeleton, whereas the subjective norm of construction workers had a positive impact on the intention-to-use exoskeletons. Research limitations/implications The study involved only 37 workers, including 15 workers who used the exoskeleton, and 14 peers and 8 supervisors of the workers. Originality/value This study contributes to existing knowledge on the influence of social influence on intention-to-use exoskeletons. The study also highlights how exoskeleton designs and the construction workplace can influence behavioral intention-to-use exoskeletons.
{"title":"Impact of social influence on construction workers' intention-to-use exoskeletons","authors":"Nihar Gonsalves, Adedeji Afolabi, Abiola Abosede Akanmu","doi":"10.1108/sasbe-06-2023-0153","DOIUrl":"https://doi.org/10.1108/sasbe-06-2023-0153","url":null,"abstract":"Purpose Low back disorder is one of the most prevalent and costly injuries in the construction industry. Back-support exoskeletons are increasingly perceived as promising solutions. However, the intended benefits of exoskeletons may not be realized if intention-to-use the device is low. Social influence could increase intention-to-use exoskeletons. This study aims to evaluate the impact of social influence on construction workers' intention-to-use back-support exoskeletons. Design/methodology/approach A field study involving 37 construction workers was conducted, with workers who used exoskeleton for one week, and their peers and supervisors. Data were collected using questionnaires and semi-structured interviews, and analyzed using descriptive statistics and thematic analysis, respectively. Findings The workers felt that the exoskeleton is easy to use and the functions are well integrated. Workers' intention-to-use exoskeleton was mainly influenced by employers providing and requiring the use of the device. The attitude of the workers and the perception of peers and supervisors did not have a significant impact on workers' intention-to-use exoskeleton, whereas the subjective norm of construction workers had a positive impact on the intention-to-use exoskeletons. Research limitations/implications The study involved only 37 workers, including 15 workers who used the exoskeleton, and 14 peers and 8 supervisors of the workers. Originality/value This study contributes to existing knowledge on the influence of social influence on intention-to-use exoskeletons. The study also highlights how exoskeleton designs and the construction workplace can influence behavioral intention-to-use exoskeletons.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804913","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}
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