Purpose The use of renewable energy has become necessary because of the harmful effects of current energy sources on the environment, limited availability and financial crisis. Transparent solar panels have emerged as a promising technology for integrating renewable energy generation into building structures. Therefore, this paper aims to explore the feasibility of transparent solar panels for high-rise building façades in Sri Lanka. Design/methodology/approach The research apprehended a qualitative approach, including two expert interview rounds adhering to the Delphi technique with 17 and 15 experts each per round. Manual content analysis was incorporated to analyse the collected data. Findings Regarding operation and maintenance, the study emphasizes the importance of regular inspection, cleaning and repair of transparent solar panels to ensure optimal performance and longevity. These activities contribute to maximizing energy generation and maintaining the aesthetic appeal of the building. The benefits of implementing transparent solar panels on building façades are manifold. They include renewable energy generation, reduced greenhouse gas emissions, improved energy efficiency and enhanced architectural aesthetics. Furthermore, the research findings underscore the potential of transparent solar panels to contribute to Sri Lanka’s sustainable development goals and address the country’s increasing energy demand. However, the study also identifies challenges that need to be addressed for successful implementation. Originality/value This study contributes to understanding the feasibility of transparent solar panels for high-rise building façades in Sri Lanka. The research findings offer valuable insights into the operation and maintenance aspects, benefits, challenges and strategies for implementing transparent solar panels effectively. This knowledge can guide policymakers, architects and developers in making informed decisions regarding the integration of transparent solar panels, thereby promoting sustainable and energy-efficient building practices in Sri Lanka.
{"title":"The feasibility of transparent solar panels for high-rise building façade in Sri Lanka","authors":"Thisara Manupriya Sathkumara, Anuradha Samarajeewa Waidyasekara, Hasith Chathuranga Victar","doi":"10.1108/ci-06-2023-0150","DOIUrl":"https://doi.org/10.1108/ci-06-2023-0150","url":null,"abstract":"Purpose The use of renewable energy has become necessary because of the harmful effects of current energy sources on the environment, limited availability and financial crisis. Transparent solar panels have emerged as a promising technology for integrating renewable energy generation into building structures. Therefore, this paper aims to explore the feasibility of transparent solar panels for high-rise building façades in Sri Lanka. Design/methodology/approach The research apprehended a qualitative approach, including two expert interview rounds adhering to the Delphi technique with 17 and 15 experts each per round. Manual content analysis was incorporated to analyse the collected data. Findings Regarding operation and maintenance, the study emphasizes the importance of regular inspection, cleaning and repair of transparent solar panels to ensure optimal performance and longevity. These activities contribute to maximizing energy generation and maintaining the aesthetic appeal of the building. The benefits of implementing transparent solar panels on building façades are manifold. They include renewable energy generation, reduced greenhouse gas emissions, improved energy efficiency and enhanced architectural aesthetics. Furthermore, the research findings underscore the potential of transparent solar panels to contribute to Sri Lanka’s sustainable development goals and address the country’s increasing energy demand. However, the study also identifies challenges that need to be addressed for successful implementation. Originality/value This study contributes to understanding the feasibility of transparent solar panels for high-rise building façades in Sri Lanka. The research findings offer valuable insights into the operation and maintenance aspects, benefits, challenges and strategies for implementing transparent solar panels effectively. This knowledge can guide policymakers, architects and developers in making informed decisions regarding the integration of transparent solar panels, thereby promoting sustainable and energy-efficient building practices in Sri Lanka.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"56 48","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134992718","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 Skewed pricing is a typical tactic used by tenderers in unit price projects to gain additional advantages at the expense of the owner or other competing tenderers. This paper aims to describe the development of a model for detecting skewed pricing in competitive tendering for unit price contracts. Design/methodology/approach The model evaluates how much the offered unit rates for work items deviate from the reasonable rate identified from the item’s submitted unit rates. Item rate deviations are integrated into a total deviation score for each submitted tender based on the relative weight of the work item to the total project amount. The model allows for assigning higher weights to work items that are more prone to skewed pricing, such as those that are performed early and those that are expected to experience quantity fluctuations. Findings The paper presents a detection model that uses only the submitted prices of the competing tenderers to perform the needed calculations, which reduces subjectivity in identifying skewed tenders. Two examples are given to demonstrate how the model may be used to detect skewed tenders. Originality/value The model supports tendering officials in the challenging task of identifying skewed tenders, which is required by rules and regulations governing public procurement. The model’s ease of use is expected to make it more widely used as a decision-support tool during the tender evaluation stage of real-world projects.
{"title":"Detecting skewed pricing in tenders for public-sector projects","authors":"Khaled Hesham Hyari, Mujahed Thneibat","doi":"10.1108/ci-06-2023-0131","DOIUrl":"https://doi.org/10.1108/ci-06-2023-0131","url":null,"abstract":"Purpose Skewed pricing is a typical tactic used by tenderers in unit price projects to gain additional advantages at the expense of the owner or other competing tenderers. This paper aims to describe the development of a model for detecting skewed pricing in competitive tendering for unit price contracts. Design/methodology/approach The model evaluates how much the offered unit rates for work items deviate from the reasonable rate identified from the item’s submitted unit rates. Item rate deviations are integrated into a total deviation score for each submitted tender based on the relative weight of the work item to the total project amount. The model allows for assigning higher weights to work items that are more prone to skewed pricing, such as those that are performed early and those that are expected to experience quantity fluctuations. Findings The paper presents a detection model that uses only the submitted prices of the competing tenderers to perform the needed calculations, which reduces subjectivity in identifying skewed tenders. Two examples are given to demonstrate how the model may be used to detect skewed tenders. Originality/value The model supports tendering officials in the challenging task of identifying skewed tenders, which is required by rules and regulations governing public procurement. The model’s ease of use is expected to make it more widely used as a decision-support tool during the tender evaluation stage of real-world projects.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"56 41","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134993772","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 Circular construction offers sustainable solutions and opportunities to disentangle a project’s life cycle, including demolition, deconstruction and repurposing of architectural, civil engineering and infrastructure projects from the extraction of natural resources and their wasteful usage. However, it introduces additional layers of novel risks and uncertainties in the delivery of projects. The purpose of this study is to review the relevant literature to discover, classify and theorize the critical risk factors for circular construction projects. Design/methodology/approach The paper conducted a systematic literature review to investigate the risks of circular construction projects. It deployed a multistage approach, including literature search and assessment, metadata extraction, citation frequency analysis, Pareto analysis and total interpretive structural modeling. Findings Sixty-eight critical risk factors were identified and categorized into nine broad taxonomies: material risks, organizational risks, supply chain risks, technological risks, financial risks, design risks, health and safety risks, regulatory risks and stakeholder risks. Using the Pareto analysis, a conceptual map of 47 key critical risk factors was generated for circular construction projects. A hierarchical model was further developed to hypothesize the multiple possible connections and interdependencies of the taxonomies, leading to chain reactions and push effects of the key risks impacting circular construction projects. Originality/value This study constitutes the first systematic review of the literature, consolidating and theorizing the chain reactions of the critical risk factors for circular construction projects. Thus, it provides a better understanding of risks in circular construction projects.
{"title":"Understanding the key risks in circular construction projects: from systematic review to conceptual framework","authors":"Ibrahim Yahaya Wuni, Derek Asante Abankwa","doi":"10.1108/ci-04-2023-0068","DOIUrl":"https://doi.org/10.1108/ci-04-2023-0068","url":null,"abstract":"Purpose Circular construction offers sustainable solutions and opportunities to disentangle a project’s life cycle, including demolition, deconstruction and repurposing of architectural, civil engineering and infrastructure projects from the extraction of natural resources and their wasteful usage. However, it introduces additional layers of novel risks and uncertainties in the delivery of projects. The purpose of this study is to review the relevant literature to discover, classify and theorize the critical risk factors for circular construction projects. Design/methodology/approach The paper conducted a systematic literature review to investigate the risks of circular construction projects. It deployed a multistage approach, including literature search and assessment, metadata extraction, citation frequency analysis, Pareto analysis and total interpretive structural modeling. Findings Sixty-eight critical risk factors were identified and categorized into nine broad taxonomies: material risks, organizational risks, supply chain risks, technological risks, financial risks, design risks, health and safety risks, regulatory risks and stakeholder risks. Using the Pareto analysis, a conceptual map of 47 key critical risk factors was generated for circular construction projects. A hierarchical model was further developed to hypothesize the multiple possible connections and interdependencies of the taxonomies, leading to chain reactions and push effects of the key risks impacting circular construction projects. Originality/value This study constitutes the first systematic review of the literature, consolidating and theorizing the chain reactions of the critical risk factors for circular construction projects. Thus, it provides a better understanding of risks in circular construction projects.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":" 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192532","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 Offsite construction (OSC) is a modern method of construction (MMC) that involves manufacturing and assembly of buildings. Industry 4.0-driven technological advancements have accelerated OSC uptake causing many skilled construction workers requiring re-skilling or up-skilling. Quantity surveyors currently play an important role throughout a construction project life cycle, and hence, their knowledge on OSC projects is vital for the continuity of quantity surveying (QS) profession. The purpose of this paper is to critically review QS education in an OSC perspective and to propose strategies for up-skilling. Design/methodology/approach This research includes a detailed literature review of QS and OSC to evaluate how OSC affects the QS profession. Publicly available information on the university websites on accredited QS and construction management degrees was reviewed to identify OSC and MMC references, specifically the content listing and learning outcomes. Findings Out of the 315 degrees offered by 157 universities, only 69 degrees in 32 universities refer to OSC or MMC. OSC concept is explicitly referred in subjects related to construction technology, production management, lean construction, digital construction and MMC. As such, the research suggests including lean production principles, OSC techniques and design philosophies such as design for manufacture and assembly be added to the QS curricula. Research limitations/implications This research is a comprehensive desktop study that does not involve empirical data-based evaluation. Research findings inform strategies to improve QS education and professional competencies. Originality/value To the best of the authors’ knowledge, this paper is the first of its kind that evaluates accredited QS degrees and learning requirements in an OSC perspective.
{"title":"A critical review of quantity surveying education in an offsite construction perspective: strategies for up-skilling","authors":"Buddhini Ginigaddara, Thayaparan Gajendran, Cameron Beard","doi":"10.1108/ci-12-2022-0322","DOIUrl":"https://doi.org/10.1108/ci-12-2022-0322","url":null,"abstract":"Purpose Offsite construction (OSC) is a modern method of construction (MMC) that involves manufacturing and assembly of buildings. Industry 4.0-driven technological advancements have accelerated OSC uptake causing many skilled construction workers requiring re-skilling or up-skilling. Quantity surveyors currently play an important role throughout a construction project life cycle, and hence, their knowledge on OSC projects is vital for the continuity of quantity surveying (QS) profession. The purpose of this paper is to critically review QS education in an OSC perspective and to propose strategies for up-skilling. Design/methodology/approach This research includes a detailed literature review of QS and OSC to evaluate how OSC affects the QS profession. Publicly available information on the university websites on accredited QS and construction management degrees was reviewed to identify OSC and MMC references, specifically the content listing and learning outcomes. Findings Out of the 315 degrees offered by 157 universities, only 69 degrees in 32 universities refer to OSC or MMC. OSC concept is explicitly referred in subjects related to construction technology, production management, lean construction, digital construction and MMC. As such, the research suggests including lean production principles, OSC techniques and design philosophies such as design for manufacture and assembly be added to the QS curricula. Research limitations/implications This research is a comprehensive desktop study that does not involve empirical data-based evaluation. Research findings inform strategies to improve QS education and professional competencies. Originality/value To the best of the authors’ knowledge, this paper is the first of its kind that evaluates accredited QS degrees and learning requirements in an OSC perspective.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"7 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135431097","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 Set-based design (SBD) is a lean tool widely adopted for improving design processes and providing value maximization to clients. The purpose of this paper is to present the development and testing of a lean simulation game that incorporated point-based and SBD principles. The objective of the game was to enhance learning of lean design management among construction students. Design/methodology/approach After a thorough and comprehensive literature review consisting of secondary data in journal papers, books, thesis references and primary data in the form of interviews with lean practitioners, the simulation game prototype was developed. The testing of the game was carried out with a study group. Data were collected during the gameplay with the help of a questionnaire survey on a confidence scale and Likert scale and assessed using the Wilcoxon signed-rank test, histogram, one-sample t -test and false discovery rate (Benjamini–Hochberg) correction method. Findings The data collected both pre- and post-simulation showed an increase in average confidence in understanding from 3.33 to 3.89, a 16.7% rise. The data was further interpreted by using Wilcoxon signed-rank test, indicating that the post-simulation learning experience was significantly better than the pre-simulation one. Promising positive results were obtained for the questions on game design, engagement and understanding of point-based design and SBD concepts. Originality/value The simulation game helps bridge the gap between knowledge building and real-life by effectively imitating the process. The game facilitates a dynamic and critical approach toward developing new educational simulation games and their successful incorporation in propagating lean principles in the construction industry.
{"title":"Development and testing of lean simulation game on set-based design","authors":"Kavya Jain, Ganesh Devkar","doi":"10.1108/ci-07-2022-0161","DOIUrl":"https://doi.org/10.1108/ci-07-2022-0161","url":null,"abstract":"Purpose Set-based design (SBD) is a lean tool widely adopted for improving design processes and providing value maximization to clients. The purpose of this paper is to present the development and testing of a lean simulation game that incorporated point-based and SBD principles. The objective of the game was to enhance learning of lean design management among construction students. Design/methodology/approach After a thorough and comprehensive literature review consisting of secondary data in journal papers, books, thesis references and primary data in the form of interviews with lean practitioners, the simulation game prototype was developed. The testing of the game was carried out with a study group. Data were collected during the gameplay with the help of a questionnaire survey on a confidence scale and Likert scale and assessed using the Wilcoxon signed-rank test, histogram, one-sample t -test and false discovery rate (Benjamini–Hochberg) correction method. Findings The data collected both pre- and post-simulation showed an increase in average confidence in understanding from 3.33 to 3.89, a 16.7% rise. The data was further interpreted by using Wilcoxon signed-rank test, indicating that the post-simulation learning experience was significantly better than the pre-simulation one. Promising positive results were obtained for the questions on game design, engagement and understanding of point-based design and SBD concepts. Originality/value The simulation game helps bridge the gap between knowledge building and real-life by effectively imitating the process. The game facilitates a dynamic and critical approach toward developing new educational simulation games and their successful incorporation in propagating lean principles in the construction industry.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"133 S230","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135775937","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}
Muhammad Saiful Islam, Madhav Nepal, Martin Skitmore
Purpose Power plant projects are very complex and encounter serious cost overruns worldwide. Their cost overrun risks are not independent but interrelated in many cases, having structural relationships among each other. The purpose of this study is, therefore, to establish the complex structural relationships of risks involved. Design/methodology/approach In total, 76 published articles from the previous literature are reviewed using the content analysis method. Three risk networks in different phases of power plant projects are depicted based on literature review and case studies. The possible methods of solving these risk networks are also discussed. Findings The study finds critical cost overrun risks and develops risk networks for the procurement, civil and mechanical works of power plant projects. It identifies potential models to assess cost overrun risks based on the developed risk networks. The literature review also revealed some research gaps in the cost overrun risk management of power plants and similar infrastructure projects. Practical implications This study will assist project risk managers to understand the potential risks and their relationships to prevent and mitigate cost overruns for future power plant projects. It will also facilitate decision-makers developing a risk management framework and controlling projects’ cost overruns. Originality/value The study presents conceptual risk networks in different phases of power plant projects for comprehending the root causes of cost overruns. A comparative discussion of the relevant models available in the literature is presented, where their potential applications, limitations and further improvement areas are discussed to solve the developed risk networks for modeling cost overrun risks.
{"title":"Structuring risks for a comprehensive understanding of cost overruns in power plant projects","authors":"Muhammad Saiful Islam, Madhav Nepal, Martin Skitmore","doi":"10.1108/ci-05-2022-0120","DOIUrl":"https://doi.org/10.1108/ci-05-2022-0120","url":null,"abstract":"Purpose Power plant projects are very complex and encounter serious cost overruns worldwide. Their cost overrun risks are not independent but interrelated in many cases, having structural relationships among each other. The purpose of this study is, therefore, to establish the complex structural relationships of risks involved. Design/methodology/approach In total, 76 published articles from the previous literature are reviewed using the content analysis method. Three risk networks in different phases of power plant projects are depicted based on literature review and case studies. The possible methods of solving these risk networks are also discussed. Findings The study finds critical cost overrun risks and develops risk networks for the procurement, civil and mechanical works of power plant projects. It identifies potential models to assess cost overrun risks based on the developed risk networks. The literature review also revealed some research gaps in the cost overrun risk management of power plants and similar infrastructure projects. Practical implications This study will assist project risk managers to understand the potential risks and their relationships to prevent and mitigate cost overruns for future power plant projects. It will also facilitate decision-makers developing a risk management framework and controlling projects’ cost overruns. Originality/value The study presents conceptual risk networks in different phases of power plant projects for comprehending the root causes of cost overruns. A comparative discussion of the relevant models available in the literature is presented, where their potential applications, limitations and further improvement areas are discussed to solve the developed risk networks for modeling cost overrun risks.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"34 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136234680","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}
Samuel Frimpong, Riza Yosia Sunindijo, Cynthia Changxin Wang, Elijah Frimpong Boadu, Ayirebi Dansoh, Rasaki Kolawole Fagbenro
Purpose Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location. Design/methodology/approach The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks. Findings A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence. Originality/value This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.
{"title":"A scoping review of research on mental health conditions among young construction workers","authors":"Samuel Frimpong, Riza Yosia Sunindijo, Cynthia Changxin Wang, Elijah Frimpong Boadu, Ayirebi Dansoh, Rasaki Kolawole Fagbenro","doi":"10.1108/ci-06-2023-0133","DOIUrl":"https://doi.org/10.1108/ci-06-2023-0133","url":null,"abstract":"Purpose Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location. Design/methodology/approach The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks. Findings A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence. Originality/value This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135219583","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 To proactively draw efficient maintenance plans, road agencies should be able to forecast main road distress parameters, such as cracking, rutting, deflection and International Roughness Index (IRI). Nonetheless, the behavior of those parameters throughout pavement life cycles is associated with high uncertainty, resulting from various interrelated factors that fluctuate over time. This study aims to propose the use of dynamic Bayesian belief networks for the development of time-series prediction models to probabilistically forecast road distress parameters. Design/methodology/approach While Bayesian belief network (BBN) has the merit of capturing uncertainty associated with variables in a domain, dynamic BBNs, in particular, are deemed ideal for forecasting road distress over time due to its Markovian and invariant transition probability properties. Four dynamic BBN models are developed to represent rutting, deflection, cracking and IRI, using pavement data collected from 32 major road sections in the United Arab Emirates between 2013 and 2019. Those models are based on several factors affecting pavement deterioration, which are classified into three categories traffic factors, environmental factors and road-specific factors. Findings The four developed performance prediction models achieved an overall precision and reliability rate of over 80%. Originality/value The proposed approach provides flexibility to illustrate road conditions under various scenarios, which is beneficial for pavement maintainers in obtaining a realistic representation of expected future road conditions, where maintenance efforts could be prioritized and optimized.
{"title":"Time-series forecasting of road distress parameters using dynamic Bayesian belief networks","authors":"Babitha Philip, Hamad AlJassmi","doi":"10.1108/ci-09-2022-0233","DOIUrl":"https://doi.org/10.1108/ci-09-2022-0233","url":null,"abstract":"Purpose To proactively draw efficient maintenance plans, road agencies should be able to forecast main road distress parameters, such as cracking, rutting, deflection and International Roughness Index (IRI). Nonetheless, the behavior of those parameters throughout pavement life cycles is associated with high uncertainty, resulting from various interrelated factors that fluctuate over time. This study aims to propose the use of dynamic Bayesian belief networks for the development of time-series prediction models to probabilistically forecast road distress parameters. Design/methodology/approach While Bayesian belief network (BBN) has the merit of capturing uncertainty associated with variables in a domain, dynamic BBNs, in particular, are deemed ideal for forecasting road distress over time due to its Markovian and invariant transition probability properties. Four dynamic BBN models are developed to represent rutting, deflection, cracking and IRI, using pavement data collected from 32 major road sections in the United Arab Emirates between 2013 and 2019. Those models are based on several factors affecting pavement deterioration, which are classified into three categories traffic factors, environmental factors and road-specific factors. Findings The four developed performance prediction models achieved an overall precision and reliability rate of over 80%. Originality/value The proposed approach provides flexibility to illustrate road conditions under various scenarios, which is beneficial for pavement maintainers in obtaining a realistic representation of expected future road conditions, where maintenance efforts could be prioritized and optimized.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134976078","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}
Omar Doukari, Mohamad Kassem, Enrico Scoditti, Rahim Aguejdad, David Greenwood
Purpose Buildings are among the biggest contributors to environmental impacts. To achieve energy-saving and decarbonisation objectives while also improving living conditions, it is imperative to undertake large-scale renovations of existing buildings, which constitute the greater part of building stock and have relatively low energy efficiency. However, building renovation projects poses significant challenges owing to the absence of optimised tools and methods for planning and executing renovation works, coupled with the need for a high degree of interaction with occupants. Design/methodology/approach This paper describes the development of an automated process, based on building information modelling (BIM) and the principal component analysis method, for overcoming building renovation challenges. The process involves the assessment and simulation of renovation scenarios in terms of duration, cost, effort needed and disruptive potential. The proposed process was tested in three case studies; multi-residence apartment buildings comprising different construction components and systems, located in Greece, France and Denmark, on which six different renovation strategies were evaluated using sensitivity analysis. Findings The developed tool was successfully able to model and simulate the six renovation scenarios across the three demonstration sites. The ability to simulate various renovation scenarios for a given project can help to strategise renovation interventions based on selected key performance indicators as well as their correlation at two different levels: the building level and the renovated surface area level. Originality/value The objectives of this paper are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries (France, Greece and Denmark), involving six renovation scenarios.
{"title":"A BIM based tool for evaluating building renovation strategies: the case of three demonstration sites in different European countries","authors":"Omar Doukari, Mohamad Kassem, Enrico Scoditti, Rahim Aguejdad, David Greenwood","doi":"10.1108/ci-12-2022-0314","DOIUrl":"https://doi.org/10.1108/ci-12-2022-0314","url":null,"abstract":"Purpose Buildings are among the biggest contributors to environmental impacts. To achieve energy-saving and decarbonisation objectives while also improving living conditions, it is imperative to undertake large-scale renovations of existing buildings, which constitute the greater part of building stock and have relatively low energy efficiency. However, building renovation projects poses significant challenges owing to the absence of optimised tools and methods for planning and executing renovation works, coupled with the need for a high degree of interaction with occupants. Design/methodology/approach This paper describes the development of an automated process, based on building information modelling (BIM) and the principal component analysis method, for overcoming building renovation challenges. The process involves the assessment and simulation of renovation scenarios in terms of duration, cost, effort needed and disruptive potential. The proposed process was tested in three case studies; multi-residence apartment buildings comprising different construction components and systems, located in Greece, France and Denmark, on which six different renovation strategies were evaluated using sensitivity analysis. Findings The developed tool was successfully able to model and simulate the six renovation scenarios across the three demonstration sites. The ability to simulate various renovation scenarios for a given project can help to strategise renovation interventions based on selected key performance indicators as well as their correlation at two different levels: the building level and the renovated surface area level. Originality/value The objectives of this paper are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries (France, Greece and Denmark), involving six renovation scenarios.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135790705","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 Infrastructure projects are complex, task-based endeavours; the reliability of project schedules is often low, as delays occur. As a result, the infrastructure sector is constantly searching for innovative practices that might improve project performance. This study aims to pursue one research question: what are the benefits and challenges to last planner system (LPS) implementation in Australia’s infrastructure industry? It addresses this question through an examination of two rail infrastructure projects in Victoria, Australia. Design/methodology/approach The state of Victoria in Australia provides an excellent context for this study. The study was set in one of the programme alliances which was contracted to carry out five level-crossing removal projects. This study uses a combination of qualitative and quantitative research techniques, including surveys, interviews and site visits. The authors collected 43 valid survey responses. Additionally, 19 participants from the alliance programme’s two projects (Projects A and B) took part in the interviews. Extensive empirical evidence has been triangulated to achieve the research goals. Findings The findings show through the questionnaire survey that the greatest benefits that digital LPS brings are primarily associated with process improvement and social benefits. The interview results acknowledged that the roll-out of digital LPS had a positive impact on schedules, cost, occupational health and safety (OHS) and quality performance. The research also noted a few challenges in the introduction of digital LPS. Overall, the finding presents strong evidence that the introduction of digital LPS has been a clear success in the case company. Originality/value This is the first piece of research to fill this major gap in the LPS literature by exploring the issue of digital LPS adoption in Australia’s infrastructure sector. This study has thus laid the foundation for future work on LPS research in the Australian context. The authors are optimistic that this exploratory work will generate interest across other alliances, and perhaps extend into Australia’s construction sector.
{"title":"Adoption of the digitalised last planner system in infrastructure projects: an Australian case study","authors":"Shang Gao, Toong-Khuan Chan, Phil Hendy","doi":"10.1108/ci-03-2023-0058","DOIUrl":"https://doi.org/10.1108/ci-03-2023-0058","url":null,"abstract":"Purpose Infrastructure projects are complex, task-based endeavours; the reliability of project schedules is often low, as delays occur. As a result, the infrastructure sector is constantly searching for innovative practices that might improve project performance. This study aims to pursue one research question: what are the benefits and challenges to last planner system (LPS) implementation in Australia’s infrastructure industry? It addresses this question through an examination of two rail infrastructure projects in Victoria, Australia. Design/methodology/approach The state of Victoria in Australia provides an excellent context for this study. The study was set in one of the programme alliances which was contracted to carry out five level-crossing removal projects. This study uses a combination of qualitative and quantitative research techniques, including surveys, interviews and site visits. The authors collected 43 valid survey responses. Additionally, 19 participants from the alliance programme’s two projects (Projects A and B) took part in the interviews. Extensive empirical evidence has been triangulated to achieve the research goals. Findings The findings show through the questionnaire survey that the greatest benefits that digital LPS brings are primarily associated with process improvement and social benefits. The interview results acknowledged that the roll-out of digital LPS had a positive impact on schedules, cost, occupational health and safety (OHS) and quality performance. The research also noted a few challenges in the introduction of digital LPS. Overall, the finding presents strong evidence that the introduction of digital LPS has been a clear success in the case company. Originality/value This is the first piece of research to fill this major gap in the LPS literature by exploring the issue of digital LPS adoption in Australia’s infrastructure sector. This study has thus laid the foundation for future work on LPS research in the Australian context. The authors are optimistic that this exploratory work will generate interest across other alliances, and perhaps extend into Australia’s construction sector.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135133124","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}