A state-of-the-art review of built environment information modelling (BeIM)

AbstractElements that constitute the built environment are vast and so are the independent systems developed to model its various aspects. Many of these systems have been developed under various assumptions and approaches to execute functions that are distinct, complementary or sometimes similar. Furthermore, these systems are ever increasing in number and often assume similar nomenclatures and acronyms, thereby exacerbating the challenges of understanding their peculiar functions, definitions and differences. The current societal demand to improve sustainability performance through collaboration as well as whole-system and through-life thinking is driving the need to integrate independent systems associated with different aspects and scales of the built environment to deliver smart solutions and services that improve the well-being of citizens. The contemporary object-oriented digitization of real-world elements appears to provide a leeway for amalgamating the modelling systems of various domains in the built environment which we termed as built environment information modelling (BeIM). These domains include architecture, engineering, construction as well as urban planning and design. Applications such as building information modelling, geographic information systems and 3D city modelling systems are now being integrated for city modelling purposes. The various works directed at integrating these systems are examined, revealing that current research efforts on integration fall into three categories: (1) data/file conversion systems, (2) semantic mapping systems and (3) the hybrid of both. The review outcome suggests that good knowledge of these domains and how their respective systems operate is vital to pursuing holistic systems integration in the built environment.

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Multicriteria analysis and information modelling in management of built environment

E3S Web of Conferences ◽

10.1051/e3sconf/202016410007 ◽

2020 ◽

Vol 164 ◽

pp. 10007

Author(s):

Nikolai Bolshakov ◽

Vladimir Badenko ◽

Julia Volkova ◽

Alberto Celani ◽

Lei Zhang

Keyword(s):

Built Environment ◽

Multicriteria Analysis ◽

Potential Method ◽

Facility Management ◽

Building Information Modelling ◽

Information Modelling ◽

Building Information ◽

Hierarchy Process ◽

Critical Overview ◽

Lifecycle Design

Building Information Modelling (BIM) proves to be the most urgent trend in construction for the last years. Still the major part of this issue is dedicated only to the first stages of building lifecycle: design and construction. This article goal is to provide a critical overview on recent achievements in BIM application for the different steps of building lifecycle as well as ongoing digitalization of facility management. The paper explores the importance of applying mathematical modelling and multicriteria analysis such as Analytical Hierarchy Process (AHP) and fuzzy logic in management of built environment and provides recent examples of such applications consequently exploring its potential. Method of analysis in this article is horizontal analysis of publication activity in related research topic. Different levels of digital built environment are considered: from building (BIM) to the whole city (GIS). The result of the research reveal that emergence of scan-to-BIM technology brings benefits not only for the buildings which are designed with BIM models (current situation in the market) but for the buildings which are already built (as-built BIM).

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Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

Engineering Management in Production and Services ◽

10.2478/emj-2021-0027 ◽

2021 ◽

Vol 13 (3) ◽

pp. 142-150

Author(s):

Berco Venter ◽

Sams Pfukani Ngobeni ◽

Hendri du Plessis

Keyword(s):

Built Environment ◽

Construction Industry ◽

South African ◽

Research Approach ◽

The South ◽

Building Information Modelling ◽

Information Modelling ◽

Factors Influencing ◽

Building Information ◽

Quantity Surveying

Abstract The construction industry has often been described as stagnant and out-of-date due to the lack of innovation and innovative work methods to improve the industry (WEF, 2016; Ostravik, 2015). The adoption of Building Information Modelling (BIM) within the construction industry has been relatively slow (Cao et al., 2017), particularly in the South African Construction and Built Environment (CBE) (Allen, Smallwood & Emuze, 2012). The purpose of this study was to determine the critical factors influencing the adoption of BIM in the South African CBE, specifically from a quantity surveyor’s perspective, including the practical implications. The study used a qualitative research approach grounded in a theoretical framework. A survey questionnaire was applied to correlate the interpretation of the theory with the data collected (Naoum, 2007). The study was limited to professionals within the South African CBE. The study highlighted that the slow adoption of BIM within the South African CBE was mainly due to a lack of incentives and subsequent lack of investment towards the BIM adoption. The study concluded that the South African CBE operated mainly in silos without centralised coordination. The BIM adoption was only organic. Project teams were mostly project orientated, seeking immediate solutions, and adopted the most appropriate technologies for the team’s composition. The study implies that the South African CBE, particularly the Quantity Surveying profession, still depends heavily on other role-players in producing information-rich 3D models. Without a centralised effort, the South African Quantity Surveying professionals will continue to adopt BIM technology linearly to the demand-risk ratio as BIM maturity is realised in the South African CBE.

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Building Information Modelling Maturity Matrix

Handbook of Research on Building Information Modeling and Construction Informatics - Advances in Civil and Industrial Engineering ◽

10.4018/978-1-60566-928-1.ch004 ◽

2010 ◽

pp. 65-103 ◽

Cited By ~ 32

Author(s):

Bilal Succar

Keyword(s):

Project Teams ◽

Building Information Modelling ◽

Engineering Construction ◽

Information Modelling ◽

Capability Maturity ◽

Performance Figure ◽

Building Information ◽

Definition Of ◽

Active Implementation ◽

Different Levels

Building Information Modelling (BIM) is an expanding collection of concepts and tools which have been attributed with transformative capabilities within the Architecture, Engineering, Construction and Operations (AECO) industry. BIM discussions have grown to accommodate increasing software capabilities, infinitely varied deliverables, and competing standards emanating from an abundance of overlapping definitions attempting to delineate the BIM term. This chapter will steer away from providing its own definition of BIM yet concurs with those identifying it as a catalyst for change (Bernstein, 2005) poised to reduce industry’s fragmentation (CWIC, 2004), improve its efficiency (Hampson & Brandon, 2004) and lower its high costs of inadequate interoperability (NIST, 2004). In essence, BIM represents an array of possibilities and challenges which need to be understood and met respectively through a measurable and repeatable approach. This chapter briefly explores the multi-dimensional nature of the BIM domain and then introduces a knowledge tool to assist individuals, organisations and project teams to assess their BIM capability, maturity and improve their performance (Figure 1). The first section introduces BIM Fields and Stages which lay the foundations for measuring capability and maturity. Section 2 introduces BIM Competencies which can be used as active implementation steps or as performance assessment areas. Section 3 introduces an Organisational Hierarchy/Scale suitable for tailoring capability and maturity assessments according to markets, industries, disciplines and organisational sizes. Section 4 explores the concepts behind ‘capability maturity models’ and then adopts a five-level BIM-specific Maturity Index (BIMMI). Section 5 introduces the BIM Maturity Matrix (BIm³), a performance measurement and improvement tool which identifies the correlation between BIM Stages, Competency Sets, Maturity Levels and Organisational Scales. Finally, Section 6 introduces a Competency Granularity Filter which enables the tailoring of BIM tools, guides and reports according to four different levels of assessment granularity.

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Competencies and the penetration status of building information modelling among built environment professionals in Nigeria

10.26686/wgtn.14992089 ◽

2021 ◽

Author(s):

Emmanuel Olorunfemi ◽

Luqman Oyekunle ◽

Oludolapo Olanrewaju ◽

Roseline Olorunfemi

Keyword(s):

Built Environment ◽

Gap Analysis ◽

Core Competencies ◽

Item Score ◽

Building Information Modelling ◽

Information Modelling ◽

Importance Index ◽

Building Information ◽

Essential Knowledge ◽

Higher Institutions

Literatures have proven a substantial increase in the awareness of Building Information Modelling (BIM) among built environment professionals in developing countries like Nigeria. However, the shortage of BIM competent professionals remains a significant challenge to the full utilization of this innovative construction process. These competencies deficiencies are in no small measure the catalyst for reduced productivity and the obsoleteness of recent construction graduates upon their emergence in the innovative construction world. This necessitate the need to assess the competencies of built environment professionals in the use of Building information modelling (BIM) with a view of suggesting strategies for improvement. The study mainly adopted an electronic questionnaire survey approach, which was targeted at built environment professionals in Abuja, Nigeria. Percentages, mean item score, relative importance index, and gap analysis were employed for the analysis of data. The study found out that built environment professionals in Abuja have a competency gap of 39% with an average possession of Administrative and Managerial BIM competencies and a high deficiency in Technical, Operational and Implementation competencies which are most required. Vocational training is currently most adopted for bridging these gaps. More so, the most effective strategies to improve the competency level of built environment professionals in the use of BIM are established to be: Attending BIM seminars, workshops, Trade shows, and Event; Enrolling for BIM software training and Incorporation of BIM into the Academic curriculum of higher institutions. This research will be needful in providing construction stakeholders as well as built environment educators with essential knowledge of the core competencies required as they develop and implement various BIM content in their domain.

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CIM And CIM Platform Practical Use in China Review

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1203/2/022143 ◽

2021 ◽

Vol 1203 (2) ◽

pp. 022143

Author(s):

Skirmante Mozuriunaite ◽

Gu Haiyan

Keyword(s):

Urban Planning ◽

Smart City ◽

Three Dimensional ◽

Design Element ◽

Information Modelling ◽

Planning And Design ◽

Urban Planning And Design ◽

Building Information ◽

Level Information ◽

Implementation Problems

Abstract City Information Modelling (CIM) is becoming an important base model of Smart City and Digital Twin City, which can realise intelligent city design and management. Lately, CIM has become the focuses of urban planning and design studies. Under the influence of building information model (BIM), smart city and three-dimensional city simulation, city-level information modelling, CIM connects different BIM levels integrates the spatial expression effect of GIS. This review introduces CIM development from using generating procedures, such as rules and typological processes, to analyse urban scenarios to form the city full information scene through the integration of BIM, GIS, and IoT. The paper also overviews the technical path of construction with CIM implementation, problems existing in the current practice of CIM technology, including all information of digital and lightweight data, scene fast calls and data standard uniformity, etc. Following the latest CIM progress, the paper puts forward some ways to realise the effective use of CIM in urban planning and design. The further review focuses on big data security, publicity, urban design element and CIM platform practical use in China.

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Building Information Modelling Design Ecologies

International Journal of 3-D Information Modeling ◽

10.4018/ij3dim.2013010106 ◽

2013 ◽

Vol 2 (1) ◽

pp. 53-64 ◽

Cited By ~ 1

Author(s):

Derek Jones ◽

Emma Dewberry

Keyword(s):

Paradigm Change ◽

Low Carbon ◽

Building Information Modelling ◽

Engineering Construction ◽

Information Modelling ◽

Existing Problems ◽

External Pressures ◽

Building Information

This paper considers the barriers to BIM adoption and demonstrates they are symptoms of existing problems in the Architecture, Engineering, Construction, and Operations (AECO) industry. When current external pressures are considered, a varied and complex set of problems emerge that require a significant paradigm change if they are to be resolved sustainably. It is argued that Building Information Modelling (BIM) does not represent a paradigm change on its own and the concept of the design ecology is presented as a framework within which BIM can act as a catalyst for change. Specific affordances of this model are presented in terms of responding to the challenges presented in the Low Carbon Construction report (Innovation and Growth Team, 2010) and to the general characteristics of the original problems identified. Examples are presented to demonstrate that this is already emerging in practice and some suggested areas of further investigation are suggested.

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Enhancing building information modelling (BIM) training in Nigerian polytechnics: towards sustainable development in Southeast Nigeria

E3S Web of Conferences ◽

10.1051/e3sconf/202129505020 ◽

2021 ◽

Vol 295 ◽

pp. 05020

Author(s):

Udochukwu Marcel-Okafor ◽

Marcellinus Okafor

Keyword(s):

Sustainable Development ◽

Built Environment ◽

Computer Application ◽

Urban Migration ◽

Building Information Modelling ◽

Information Modelling ◽

Practice Performance ◽

Building Information ◽

Socio Economic Variables ◽

The Impact

Architectural technology practice in Nigeria is influenced on the one hand by the drive to adopt technologically advanced techniques aimed at providing solutions to the existing challenges within the built environment, and on the other hand by constantly emerging socio-economic variables associated with high population growth, urban migration and resultant housing demands. From the outset of the drawing proposal to the entire lifespan of buildings, innovative developments in building information modelling (BIM) have enabled architectural technologists attain sustainable feats in the building industry. This study examined the curriculum for BIM training in polytechnics domiciled in Southeast Nigeria and the impact on sustainable development practice within the region. Sixtythree (63) architectural firms and three (3) polytechnics were randomly selected for this study. The survey research design was adopted in this study: two sets of structured questionnaires were administered to architectural technology graduates and their employers. 130 copies of questionnaire were administered to graduates of the institutions. The study revealed that 96% of the graduates had acquired some level of BIM proficiency; 56% acquired it from school, while 40% indicated it was acquired in practice after graduation. The result of correlation analysis showed that correlation between practice performance of technologists and proficiency in BIM is significant (p<0.01). The results of regression coefficients showed that proficiency in BIM had significant correlation with practice performance of the graduates. The study showed that course contents for courses in computer application did not extensively provide opportunities for graduates to acquire relevant skills. A robust review of the curriculum is needed to produce technically efficient technologists that can tackle the demands of the built environment for sustainable development to thrive.

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Level of detail, information and accuracy in building information modelling of existing and heritage buildings

Journal of Cultural Heritage Management and Sustainable Development ◽

10.1108/jchmsd-09-2018-0067 ◽

2018 ◽

Vol 8 (4) ◽

pp. 495-507 ◽

Cited By ~ 4

Author(s):

Katie Graham ◽

Lara Chow ◽

Stephen Fai

Keyword(s):

Construction Projects ◽

Critical Evaluation ◽

Level Of Detail ◽

Building Information Modelling ◽

Content Type ◽

Engineering Construction ◽

Building Information Model ◽

Information Modelling ◽

Building Information ◽

Heritage Buildings

Purpose Over the past decade, national and international organisations concerned with regulating the architecture, engineering, construction and operations industry have been working to create guidelines for the integration of building information modelling (BIM) through the establishment of benchmarks to measure the quality and quantity of information in a given model. Until recently, these benchmarks – and BIM guidelines in general – have been developed for the design and construction of new projects, providing very little guidance for using BIM in the context of conservation and rehabilitation. The purpose of this paper is to introduce a new benchmark specific to existing and heritage buildings developed by Carleton Immersive Media Studio (CIMS). Design/methodology/approach To create the new benchmark, CIMS conducted a critical evaluation of established and emerging BIM guidelines including: Level of Development Specification 2016 (BIMFORUM), architecture, engineering and construction (Can) BIM Protocol (CanBIM), PAS 1102-2: Specification for Information Management for the Capital Delivery Phase of Construction Projects Using BIM (British Standards Institution) and Level of Accuracy Specification Guide (US Institute of Building Documentation). Findings Using the authors’ on-going work at the Parliament Hill National Historic Site in Ottawa, Canada, the CIMS created and applied a three-category system that evaluated the level of detail, information and accuracy within the building information model independently. Originality/value In this paper, the authors discuss the CIMS’ work to date and propose next steps.

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The Enigma of BIM

Architecture, Structures and Construction ◽

10.1007/s44150-021-00017-6 ◽

2021 ◽

Author(s):

Alexander Koutamanis ◽

Andy Dainty ◽

Thomas Kvan ◽

Žiga Turk

Keyword(s):

Position Paper ◽

Historical Background ◽

Building Information Modelling ◽

Engineering Construction ◽

Information Modelling ◽

The Future ◽

Building Information ◽

Incomplete Theory ◽

Key Questions

AbstractThis position paper outlines a number of key questions concerning BIM (Building Information Modelling), as well as the arguments and the historical background behind them. These include the incomplete theory of BIM, the reasons for the emergence of understanding BIM as a panacea for all ills in AECO (architecture, engineering, construction and operation of buildings), the relation between BIM promise and BIM performance, some of the key misconceptions and misunderstandings concerning BIM, and fundamental concerns about what is assumed to be the future of BIM. The paper concludes by suggesting four themes for further discussion and research into the nature and future of BIM and of AECO computerization in general: BIM theory, implementation, the view from practice and legislation / policies.

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