Practices and effectiveness of building information modelling in construction projects in China

Cao, Dongping; Wang, Guangbin; Li, Heng; Skitmore, Martin; Huang, Tsung-Chuan; Zhang, Weiyu

doi:10.1016/j.autcon.2014.10.014

Cited by 204 publications

(151 citation statements)

References 56 publications

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“…In the technology fields, enterprises paid more attention to building quality, operation performance of construction machinery, and maturity of industrialization technology. Furthermore, some research projects focused on information and communication technology in the construction industrialization fields [37,40,64,65]. Experts suggested that the application level of prefabricated components in projects depended on the implementation of construction industrialization technology [37,40,64,65].…”

Section: Challenges In Industrializationmentioning

confidence: 99%

“…The factors included: (1) general awareness [37][38][39][40]; (2) technical field [41][42][43]; (3) human resource [44][45][46]; (4) cost field [3,4]; (5) university-and-institution cooperation [47][48][49]; (6) policy areas [23,50,51]; and (7) industrial management system [52][53][54]. The first group of factors is reflected in some well-recognized, construction industrialization policies in regard to building kinds and company's stance [55][56][57][58].…”

Section: Challenges In Industrializationmentioning

confidence: 99%

See 1 more Smart Citation

Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Zhang

Xie

2017

Sustainability

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Abstract:The purpose of this research is to quantitatively evaluate the growth phase, position, and priorities of the industrialization policy management of the construction industry at firm level. The goal is to integrate quantitative dynamics into the policy-making process for sustainable policy development in future China. This research proposes an integrated framework, including growth management model and industrial policy evaluation method, to identify the challenges of construction industrialization and policy management. The research applies the mixed system method, which includes entropy method and average score method, to analyze the growth stage and major impact indexes targeting 327 survey samples. The empirical results show that the proposed conceptual framework and policy evaluation method could effectively determine the growth position and directions of the construction industrialization. For verification purpose, the study uses the local industry data from Shaanxi Province, China. The calculation results substantiate that the construction industry is in the middle section of the third growth phase. The comparison of the results from statistical methods shows that the local construction industry still needs substantial effort in policy management to improve its sustainable industrialization level. As countermeasures, the policy priorities should concentrate on: (1) enhancing effective cooperation among universities, research institutions and enterprises; (2) improving actions towards technology transfer into productivity; and (3) encouraging market acceptance of construction industrialization. This research complements the existing literature of policy evaluation of construction industrialization. Moreover, it provides theoretical and operational steps on industry policy evaluation and growth management framework, with accurate and ample data analysis on firm-level survey. Researchers and policy makers can use this research for further extensions of policy management for construction industrialization.

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Section: Challenges In Industrializationmentioning

confidence: 99%

Section: Challenges In Industrializationmentioning

confidence: 99%

Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Zhang

Xie

2017

Sustainability

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“…Table 2 shows a summary of the factors identified in the literature review. Eastman et al 2008;Post 2008;Young et al 2008;Yan, Damian 2008;Hartmann, Fischer 2008;Arayici et al 2009Arayici et al , 2011Sacks, Barak 2010;Singh et al 2011;Gerber et al 2011;Nejat et al 2012;Gledson et al 2012;Giel, Issa 2013;Eadie et al 2013;Porwal, Hewage 2013;Zhang, Gao 2013;Migilinskas et al 2013;Volk et al 2014 19 2 Lack of data interoperability (T5) Bernstein, Pittman 2004;Eastman et al 2008;Post 2008;McAdam 2010;Azhar et al 2011;Kim, Anderson 2012;McAuley et al 2012;Rezgui et al 2013;Porwal, Hewage 2013;Aram et al 2013;Migilinskas et al 2013;Gupta et al 2014;Dong et al 2014;Miettinen, Paavola 2014;Volk et al 2014;Cao et al 2015 No. Factors Reference Sum 3 Changes in workflows and inappropriate business models (M4) Bernstein, Pittman 2004;Howell, Batcheler 2004;Méndez 2006;Gilligan, Kunz 2007;Gu et al 2007;…”

Section: Summary Of Factors Identified In the Literature Reviewmentioning

confidence: 99%

“…Furthermore, a web survey conducted by Autodesk (2008) suggests that BIM increases productivity after an average of three to four months, is more accessible than general CAD applications, enhances workflow after training, benefits owners, designers, and contractors, reduces the risk of design error, and enables communication and coordination among the project team. Although BIM has many benefits, there are also limitations and barriers that have slowed BIM application (Yan, Damian 2008;Zhang, Gao 2013), and BIM application is still in an infant stage to some extent (Cao et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A Literature Review of the Factors Limiting the Application of Bim in the Construction Industry

Sun

Jiang

Skibniewski

et al. 2015

Technological and Economic Development of Economy

173

147

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Abstract. Building Information Modeling (BIM) has had a profound effect on the construction industry. It has greatly improved coordination among stakeholders, enhanced productivity, and increased profits. However, many factors still limit the application of BIM in the construction industry. This study conducts a literature review to identify these negative factors. Firstly, twenty-two sub-factors are identified and classified into five categories: Technology, Cost, Management, Personnel, and Legal. Secondly, some suggestions for eliminating these limiting factors are given. Finally, the study also identifies further research directions for improving BIM theory and applying BIM technology widely and successfully. The results of this study will provide support for practitioners who are using or plan to use BIM.

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“…There are academic studies in a considerable amount of countries: China (Xu, Feng & Li, 2014;Cao et al, 2015;Zhang, Wang, Chen & He, 2014;Ding, Zuo, Wu & Wang, 2015); Denmark (Anker Jensen & Jóhannesson, 2013;Movsisyan, 2016), Iceland (Kjartansdóttir, 2012), India (Luthra, 2010;Kumar & Mukherjee, 2009), Malaysia (Enegbuma & Ali, 2011;Teo, 2012;Latiffi, Mohd, Kasim & Fathi, 2013;Mohd-Nor & Grant, 2014), Portugal (Carvalho, 2016;Silva, Salvado, Couto & Azevedo, 2016), South Africa (Kekana, Aigbavboa & Thwala, 2014;Froise & Shakantu, 2014), Spain (Silvia, del Solar, de la Peña & Vivas 2017), Sweden (Hooper, 2015), United Kingdom (Eadie, Browne, Odeyinka, McKeown & McNiff, 2015;Khosrowshahi & Arayici, 2012), United States (Sattineni & Bradford, 2011), and various cross-country comparisons (Bui, Merschbrock & Munkvold, 2016;Gu, Singh, Tylor, London & Brankovic, 2010;Jung & Lee, 2015;Kassem, Succar & Dawood, 2013;Smith, 2014;Wong et al, 2009;Wong, Wong & Nadeem, 2010).…”

Section: Background State Of the Artmentioning

confidence: 99%

An evaluation of the macro-scale adoption of Building Information Modeling in Chile: 2013-2016

Loyola

López

2018

rdlc

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In recent years, there has been growing public and private interest in Chile in implementing plans promoting the use of Building Information Modeling. However, the lack of local studies hinders the creation of policies suited to the particular conditions of the country. In response, we present a comprehensive analysis of the evolution of the macro-scale adoption of BIM in Chile during the 2013-2016 period, based on two national surveys conducted among architecture, engineering and construction (AEC) professionals. At first glance, the overall results coincide with other countries with similar development level, but a more detailed analysis evidences unique local conditions. There are dramatic differences in BIM expertise among AEC disciplines, which in turn leads to heterogeneous, fragmented, and non-collaborative BIM practices. Although BIM users account for more than half of respondents, they are mainly occasional users that only take advantage of the most basic capabilities of the technology. The study also shows strengths and potential opportunities for improvement. In the end, this study reveals the unique conditions of the technology adoption process in Chile, and consequently, contributes to identifying specific strengths, problems, and areas of action that should be addressed by any public or private BIM promotion plans.Key words: Building Information Modeling, technology diffusion, Chilean AECO industry. ResumenEn los últimos años, ha surgido un creciente interés público y privado en Chile en la implementación de planes que promuevan el uso de Building Information Modeling. Sin embargo, la falta de estudios locales dificulta la creación de políticas adecuadas a las condiciones particulares del país. En respuesta a este problema, presentamos un análisis exhaustivo de la evolución de la adopción a macro-escala de BIM en Chile durante el período 2013-2016, realizado sobre la base de dos encuestas nacionales aplicadas a profesionales de arquitectura, ingeniería y construcción (AEC). A primera vista, los resultados globales coinciden con otros países con un nivel de desarrollo similar; pero un análisis más detallado evidencia condiciones locales distintivas. Existen diferencias dramáticas en el conocimiento sobre BIM entre las distintas disciplinas AEC, lo que a su vez conduce a prácticas BIM heterogéneas, fragmentadas y no colaborativas. Aunque los usuarios de BIM representan más de la mitad de los encuestados, se trata principalmente usuarios ocasionales que solo aprovechan las capacidades más básicas de la tecnología. El estudio también muestra fortalezas y posibles oportunidades de mejora. Al final, este estudio revela las condiciones únicas del proceso de adopción de tecnología en Chile y, en consecuencia, contribuye a identificar fortalezas, problemas y áreas de acción específicos que deben ser abordados por cualquier plan de promoción BIM público o privado.

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Practices and effectiveness of building information modelling in construction projects in China

Cited by 204 publications

References 56 publications

Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

A Literature Review of the Factors Limiting the Application of Bim in the Construction Industry

An evaluation of the macro-scale adoption of Building Information Modeling in Chile: 2013-2016

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