Understanding young urban Chinese consumers’ preferences for food goods endorsed by celebrities: a behavioural approach

PurposeThe Turkish construction sector, facing mounting environmental pressures, needs to rapidly adopt circular economy (CE) principles. However, a critical barrier is the lack of accessible and comprehensive material information. This paper investigates how building information modeling (BIM) can facilitate the adoption of material passports (MPs) to overcome this challenge and helps enabling circularity in Turkish construction.Design/methodology/approachA case study approach is adopted, focusing on the New Istanbul Esenler Arena, a major sports facility designed with BIM. An in-depth analysis of the project's BIM model and material data was conducted to develop a practical framework for integrating MPs into BIM workflows. The framework outlines a comprehensive MP data structure, addresses technical integration strategies and highlights the importance of stakeholder collaboration.FindingsThe research demonstrates that integrating MPs with BIM has the potential to significantly enhance material tracking throughout the building lifecycle, leading to more informed decision-making regarding material selection, reuse and recycling. This approach can improve material recovery rates, reduce construction waste and minimize the environmental impact of construction projects. The study also identifies key challenges to MP implementation, such as ensuring data accuracy and interoperability, and proposes strategies to overcome these hurdles.Originality/valueThis paper contributes to the limited but growing body of knowledge on the practical implementation of BIM and MPs for circular construction, particularly in the Turkish context. The proposed framework, informed by a real-world case study, provides valuable guidance for construction professionals, policymakers and researchers seeking to accelerate the transition to a circular economy in the built environment.

Interaction between BIM and FE models in structural health monitoring

Purpose The purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and circular economy precepts for built assets. Open standard data models enable robust and efficient data exchange which underpins the successful implementation of a circular economy. One of the largest opportunities to reduce the total life cycle cost of a built asset is to use the building information modelling (BIM) approach during the operational phase because it represents the largest share of the entire cost. BIM models that represent the actual conditions and performance of the constructed assets can boost the benefits of the installed monitoring systems and reduce maintenance and operational costs. Design/methodology/approach This paper presents a horizontal investigation of current BIM data models and their use for describing circular economy principles and performance monitoring of built assets. Based on the investigation, an extension to the industry foundation classes (IFC) specification, recommendations and guidelines are presented which enable to describe circular economy principles and asset monitoring using IFC. Findings Current open BIM data models are not sufficiently mature yet. This limits the interoperability of the BIM approach and the implementation of circular economy principles. An overarching approach to extend the current standards is necessary, which considers aspects related to not only modelling the monitoring system but also data management and analysis. Originality/value To the authors’ best knowledge, this is the first study that identifies requirements for data model standards in the context current linear economic model of making, using and disposing is growing unsustainably far beyond the finite limits of planet of a circular economy. The results of this study set the basis for the extension of current standards required to apply the circular economy precepts.

Despite the transition towards a circular economy (CE) being a significant element in achieving the decarbonisation of the built environment, a clear and common pathway to applying CE principles to building design is still lacking in both industry practice and academia. The integration of Building Information Modelling (BIM) and Life Cycle Assessment (LCA) has the potential to enable the identification of feasible pathways to increase circularity. This study aims to investigate its practical use to facilitate the application of circular economy principles at the early stage of building design via using LCA-based BIM plugins. Within this aim, the paper centres on a co-production approach and presents a gap analysis by identifying gaps in knowledge and implementation as well as addressing the pressing needs of the current practice in the UK. A series of semi-structured interviews with expert practitioners in the field were conducted for data collection, contributing to the following phases of the co-production by allowing for an in-depth investigation and reflection of the practice. The findings have revealed that: (a) there is still an insufficient level of contextual awareness and readiness in the implementation of CE principles in the built environment and LCA understanding and (b) the adoption of BIM at the early stages of building design is still limited in the current practice; BIM models with sufficient level of data details and quality to enable circularity assessment are rarely produced. Thus, the paper highlights the need for enabling mechanisms, including the introduction of legislative instruments, the involvement and commitment of the industry and key stakeholders, the support for training and skills improvement, and the establishment of effective communication and implementation process management frameworks. Future research agenda points to the need of formulation of a BIM protocol to enable integration of BIM and LCA to promote CE principles in the building design process.

The usage of Building Information Modelling (BIM) in building projects has enabled improvement in project planning, implementation and collaboration process amongst various stakeholders within architecture, engineering and construction (AEC) industry. However, variations exist in the current practices of BIM implementation and coordination process in the industry. These variations result in inconsistent degree of BIM use across the construction industry. This inconsistency gives rise to several managerial and technological challenges such as data interoperability issues and purposeful integration and exchange of information within the BIM components. In order to tackle the issue, it is essential to analyse the different BIM approaches employed by the industry practitioners. BIM guidelines serve as a critical link between the BIM model, and its subsequent execution. They therefore provide the best reflection of BIM application and processes. This research paper aims to address the variations existing in BIM practices across the construction industry. It includes an extensive study of 21 existing, publicly available BIM-based guidelines in order to establish an understanding of the present state of practice and deduce issues and concerns related to them. All guidelines analysed in this paper are first categorised based on authorship and the release date for efficient comparison. The points of similarity and difference between them are thereby realized and outlined. In addition, the transition of project implementation process from traditional methods to BIM technology is also explained. The existence of inconsistencies in the BIM guidelines reviewed in this paper reflects the need of a BIM ‘Code Compliance Check’. The Code Compliance Check will serve as a regulatory project guideline that will further improve the potential of BIM by incorporating a consistent BIM modelling methodology for the entire construction industry.

As Building Information Modeling (BIM) becomes the predominant technology in the construction industry, contractors, amongst other activities, need to conduct Site Logistics Planning (SLP) in the BIM environment during different project phases. 4D BIM modelling is an important step towards developing BIM models ready for the construction execution phase. However, in developing such models, currently no standard exist which would guide contractors towards a thorough analyses of site logistics. Moreover, there is a scarcity of studies and research on level of detail of construction schedules, which makes SLP hard to implement in a BIM environment. We addressed this problem by employing a case-study method for understanding how 4D BIM models should be designed to enable effective SLP and dynamic site layout creation. The results show that the following input data for SLP in the BIM environment is needed: hierarchically structured 3D BIM model, Work Breakdown Structure (WBS), detail schedule, resources constraints, and defined onsite temporary facilities. Additionally, we have found that the activities should be further divided into work operations to enable SLP. Our results enable contractors to create a dynamic site layout according to the BIM principles. Moreover, the findings are an initial step for the further standardization of the BIM model for the SLP in the BIM environment.

Building Information Modelling (BIM) is one of the most significant technological advancements in recent years that has been adopted by the design and construction industry. While BIM adoption is growing, it can be witnessed that adoption is relatively weak within operational and maintenance (O&M) organisations such as Estate and Infrastructure Management, who would ultimately gain the highest value from utilising BIM. While the challenges of BIM adoption are multifaceted, there is a recurring theme of poor data integration between BIM and existing information management systems. There is a clear gap of knowledge on how to structure a BIM model that allows its efficient use in the O&M phase. Furthermore, there is a lack of claritiy on how to exchange information from a BIM model into an Asset Information Model (AIM).This paper outlines a methodology that enables extraction of BIM-related data directly from a model into a relational database for integration with existing asset management systems. The paper describes the BIM model requirements, development of the extraction platform, database architecture and framework. Furthermore, a case study is presented to demonstrate the methodology. The case study demonstrates that if the BIM model is designed from the start with consideration for the O&M requirements, it can be exploited for development into an AIM. It also shows that a structured approach to object classification within a BIM model supports the efficient exchange of data directly from the BIM model.

ABSTRACTThe integration of Building Information Modelling (BIM) and geographic information systems (GIS) is a promising but challenging topic to solve problems in construction industry. However, loading and rendering rich BIM geometric data and large-scale GIS spatial information in a unified system is still technologically challenging. Current efforts mainly simplify the geometry in BIM models, or convert BIM geometric data to a lower level of detail (LOD). By noticing that only exterior features of BIM models are visible from outdoor observation points, culling BIM interior facilities can dramatically reduce the computational burden when visualizing BIM models in GIS. This study explores the outline detection problem and presents the OutDet algorithm, which selects representative observation points, transforms & projects the BIM geometric data into the same coordinate system, and detects the visible facilities. Empirical study results show that OutDet can cull a large portion of unnecessary features when rendering BIM models in GIS. The use of outlines of BIM models is not an alternative but rather a supplementary approach for current solutions. Jointly using LOD and outer surface can help improve the efficiency of integrated BIM-GIS visualization.Because OutDet retains BIM geometry and semantics, it can be applied to more BIM-GIS applications..

Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection

The Architecture, Engineering, and Construction (AEC) sector produces a large sum of the global carbon emissions. Emerging systems and technology, coupled with a rapid modernisation within the construction industry, have been developed as a response to challenges of maintaining sustainable practices and procedures during the whole project life cycle. The technological advancement of Building Information Modelling (BIM) is the focus of this research: to determine its potential to facilitate the adoption of Circular Economy (CE) principles to empower the path towards net-zero carbon within the built environment. The employed research methods include a systematic literature review and a questionnaire survey to collect data from construction professionals on the potentials of using BIM to enhance circularity in the built environment projects. Existing BIM practices for sustainability within the built environment could in this chapter be identified to align with the concept of the CE, which will yield further strategies aiming to maintain the path towards net-zero carbon construction projects in the future. Following the analysis of the data collected, a conceptual framework is developed to demonstrate how BIM features facilitate CE principles and empower sustainability and resource efficiency within construction projects. To achieve the full potential benefits emerging from the BIM utilisation in a CE context, industry professionals and stakeholders should comprehend the acquired BIM knowledge and appliance for sustainable practices. The BIM competencies currently employed by industry professionals could show the current existence of an interconnection between BIM and CE.

Building Information Modeling (BIM) has been widely adopted in the construction industry, providing a virtual representation of physical objects and systems. In the context of agriculture, BIM can be applied to monitor and manage the physical and operational characteristics of farms and agricultural facilities using BIM digital twins. A BIM digital twin is a virtual representation of a physical object or system that is based on data from BIM models and other sources. The integration of sensors is essential in creating a BIM digital twin as they provide real-time data that can be used to update and maintain the virtual representation. The use of BIM digital twins in agriculture has the potential to improve the management of agricultural facilities, reduce environmental pollution, and promote the sustainability of agricultural land. Sensors can be used in agriculture to monitor various parameters such as soil moisture, temperature, and nutrient levels. BIM digital twins can also be used to monitor and manage sources of pollution, such as the use of pesticides and fertilizers, and to develop strategies to minimize their impact on the environment. BIM digital twins provide a comprehensive view of the condition of agricultural land and the factors that influence it, such as weather patterns, industry activities, and human activities. 4D BIM is an extension of traditional 3D BIM that adds a time dimension to the model. In the context of agriculture, 4D BIM can be used to visualize and simulate various processes related to time and soil management, such as planting and harvesting cycles, and to evaluate the impact of different planting strategies on crop yields. 4D BIM can also be used to model the impact of weather patterns on crop growth and to develop contingency plans for weather- related events. The use of BIM in agriculture has the potential to transform the industry by providing a new level of insight and control over agricultural operations. BIM models can be used to simulate and visualize different scenarios for agricultural facilities, such as the use of water, fertilizer, and energy, leading to improved efficiency and reduced waste. By using BIM to optimize operations, agricultural companies can increase their productivity and profitability. The integration of BIM digital twins and 4D BIM in agriculture has the potential to revolutionize the industry by providing new tools for monitoring and managing agricultural operations. The use of BIM digital twins and 4D BIM can help reduce environmental pollution, promote sustainability, and improve the efficiency and productivity of agricultural operations. Testing is needed to fully understand the potential benefits of BIM and BIM digital twins in agriculture and to develop best practices for their implementation.

This study demonstrates the research and development of a visualization method called thermal performance simulation. The objective of this study is providing the results of thermal performance simulation results into building information modeling (BIM) models, displaying a series of thermal performance results, and enabling stakeholders to use the BIM tool as a common user interface in the early design stage. This method utilizes a combination of object-oriented physical modeling (OOPM) and BIM. To implement the suggested method, a specific BIM authoring tool called the application programming interface (API) was adopted, as well as an external database to maintain the thermal energy performance results from the OOPM tool. Based on this method, this study created a prototype called the thermal energy performance visualization (TEPV). The TEPV translates the information from the external database to the thermal energy performance indicator (TEPI) parameter in the BIM tool. In the TEPI, whenever BIM models are generated for building design, the thermal energy performance results are visualized by color-coding the building components in the BIM models. Visualization of thermal energy performance results enables non-engineers such as architects to explicitly inspect the simulation results. Moreover, the TEPV facilitates architects using BIM as an interface in building design to visualize building thermal energy performance, enhancing their design production at the early design stages.

Introduction. The construction industry is rapidly transitioning from traditional computer-aided design (CAD) to building information modeling (BIM), which allows for detailed modeling with real accuracy. BIM specifies not only the geometry of an object, but also its materials and characteristics. Construction projects created using BIM technologies can automate cost estimates, significantly improving accuracy and reducing time expenditures. However, cost estimation specialists have not yet been fully integrated into BIM processes.Aim. The article aims to determine the feasibility of using software to automatically generate cost estimation documents from BIM models and identify the pros and cons of using it in the operations of a construction organization.Materials and methods. An analysis was conducted of the software market offering automated cost estimation based on digital models. Selected programs were tested, and relevant publications by other researchers were examined.Results. The software packages BIM-smeta ABC, 5D-smeta, BIM WIZARD, and Larix were evaluated. BIM-smeta ABC is user-friendly, but it operates directly within the model, which may compromise its integrity. 5D-smeta and BIM WIZARD allow designers and cost estimators to work in separate spaces, preventing estimators from directly manipulating the model. Additionally, BIM WIZARD offers 3D visualization capabilities for cost estimators. Larix enables automated calculations based on predefined logical sequences, which makes the initial setup process more labor-intensive for company-specific needs.Conclusions. Automating cost estimation in BIM modeling provides the greatest benefits to companies that strictly adhere to internal design standards, especially the Employer's Information Requirements (EIR) and the BIM Execution Plan (BEP). In such organizations, the estimation process can be reduced to just minutes. Conversely, companies lacking such standardized design systems may require significant time and resource investment for implementation.

In the last years smart buildings topic has received much attention as well as Building Information Modelling (BIM) and interoperability as independent fields. Linking these topics is an essential research target to help designers and stakeholders to run processes more efficiently. Working on a smart building requires the use of Innovation and Communication Technology (ICT) to optimize design, construction and management. In these terms, several technologies such as sensors for remote monitoring and control, building equipment, management software, etc. are available in the market. As BIM provides an enormous amount of information in its database and theoretically it is able to work with all kind of data sources using interoperability, it is essential to define standards for both data contents and format exchange. In this way, a possibility to align research activity with Horizon 2020 is the investigation of energy saving using ICT. Unfortunately, comparing the Architecture Engineering and Construction (AEC) Industry with other sectors it is clear how in the building field advanced information technology applications have not been adopted yet. However in the last years, the adoption of new methods for the data management has been investigated by many researchers. So, basing on the above considerations, the main purpose of this thesis is investigate the use of BIM methodology relating to existing buildings concerning on three main topics: • Smart data management for architectural heritage preservation; • District data management for energy reduction; • The maintenance of highrises. For these reasons, data management acquires a very important value relating to the optimization of the building process and it is considered the most important goal for this research. Taking into account different kinds of architectural heritage, the attention is focused on the existing and historical buildings that usually have characterized by several constraints. Starting from data collection, a BIM model was developed and customized in function of its objectives, and providing information for different simulation tests. Finally, data visualization was investigated through the Virtual Reality(VR) and Augmented Reality (AR). Certainly, the creation of a 3D parametric model implies that data is organized according to the use of individual users that are involved in the building process. This means that each 3D model can be developed with different Levels of Detail/Development (LODs) basing on the goal of the data source. Along this thesis the importance of LODs is taken into account related to the kind of information filled in a BIM model. In fact, basing on the objectives of each project a BIM model can be developed in a different way to facilitate the querying data for the simulations tests. The three topics were compared considering each step of the building process workflow, highlighting the main differences, evaluating the strengths and weaknesses of BIM methodology. In these terms, the importance to set a BIM template before the modelling step was pointed out, because it provides the possibility to manage information in order to be collected and extracted for different purposes and by specific users. Moreover, basing on the results obtained in terms of the 3D parametric model and in terms of process, a proper BIM maturity level was determined for each topic. Finally, the value of interoperability was arisen from these tests considering that it provided the opportunity to develop a framework for collaboration, involving all parties of the building industry

This paper presents a new virtual reality (VR)-based approach to advanced learnings and experiences of the circular economy (CE) in the construction industry. The approach involves incorporating game design and a building information modelling (BIM) digital twin of a purposed CE prototype building. Our novel approach introduces VR environments designed to provide a visual representation of materials and components that can be reintroduced into the supply chain at the end of life and their removal procedures and material provenance. A case study methodology was applied to a purposely designed CE building, namely the Legacy Living Lab (L3). To reflect the real-life building, L3’s BIM model was combined with Unify game software to advance the literature in three key areas. First, the research investigates VR tools that will allow building designers to view and implement their strategies to advance CE design. Second, this research proposes an advanced VR tool to visualise the bill of quantities (BoQ) and material stock embedded in the studied building, further understanding concepts such as buildings as material banks. Finally, the proposed VR environment defines CE techniques implemented within the case study to be disseminated across the vast construction industry. This VR research identifies three key pillars in reducing the waste generated by the construction industry: education, documentation and visualisation. Furthermore, this paper provides a visual link between the BIM, BoQ and resiliency of the selected materials.