Policy analysis of smart construction pilot cities policies  in China based on policy tools

Jingyu Yu; Qingyu Shi; Jingfeng Wang

doi:10.55092/sc20240004

Article

Open Access

Policy analysis of smart construction pilot cities policies in China based on policy tools

Jingyu Yu^1,^2,³Qingyu Shi¹Jingfeng Wang^1,^2,³^,∗

¹ College of Civil Engineering, Hefei University of Technology, Hefei 230009, China

² Engineering Research Center of Low-carbon Technology and Equipment for Cement-based Materials, Ministry of Education, Hefei University of Technology, Hefei 230009, China

³ Anhui Key Laboratory of Civil Engineering Structures and Materials, Hefei University of Technology, Hefei 230009, China

* jfwang@hfut.edu.cn

Volume
Volume 1 Issue 1, 2024
Citation
Yu J, Shi Q, Wang J. Policy analysis of smart construction pilot cities policies in China based on policy tools. Smart Constr. 2024(1):0004, https://doi.org/10.55092/sc20240004.
DOI
10.55092/sc20240004
Copyright
Copyright2024 by the authors. Published by ELSP.

Abstract

In response to the challenges posed by the traditional construction industry, the importance of smart construction in driving the digital transformation of this sector has been widely acknowledged. Many countries have introduced supportive policies to foster the growth of smart construction. However, there is no one-size-fits-all approach to implementing smart construction. Therefore, this paper aims to assess the smart construction policies implemented by 24 pilot cities in China and identify relevant policy tools. Our analysis reveals that pilot cities often adopt supply-type and environment-type policy tools, but there is a growing need for demand-type policies. These findings contribute to the existing body of research on policy evaluation in the field of smart construction. Furthermore, we offer concrete recommendations to policymakers for formulating more effective and targeted policies and strategies to further the development of smart construction.

Keywords

smart construction; pilot cities; policy evaluation; PMC-Index model

Preview

view pdf

References

[1]Tortorella GL, Fettermann DdC. Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. Int. J. Prod. Res. 2018, 56:2975–2987.
[2]Ghobakhloo M. Industry 4.0, digitization, and opportunities for sustainability. J. Cleaner Prod. 2020:119869.
[3]Jose LB, David R, Aditya S, Alberto T. From start-up to scale-up: Accelerating growth in construction technology. 2023. Available: https://www.mckinsey.com/industries/private-capital/our-insights/from-start-up-to-scale-up-accelerating-growth-in-construction-technology (accessed on 16 May 2024).
[4]Rajat A, Shankar C, Mukund S. Imagining construction’s digital future. 2016. Available: https://www.mckinsey.com/capabilities/operations/our-insights/imagining-constructions-digital-future-infographic (accessed on 16 May 2024).
[5]Ahn H, Lee C, Kim M, Kim T, Lee D, et al. Applicability of smart construction technology: Prioritization and future research directions. Automat. Constr. 2023, 153:104953.
[6]Liu H, J. Song, G. Wang. A Scientometric Review of Smart Construction Site in Construction Engineering and Management: Analysis and Visualization. Sustainability 2021, 13(16):8860.
[7]Yevu SK, Owusu EK, Chan APC, Sepasgozar SME, Kamat VR. Digital twin-enabled prefabrication supply chain for smart construction and carbon emissions evaluation in building projects. J. Build. Eng. 2023,78:107598.
[8]Xu M, Nie X, Li H, Cheng JCP, Mei Z. Smart construction sites: A promising approach to improving on-site HSE management performance. J. Build. Eng. 2022, 49:104007.
[9]Wu C, Li X, Guo Y, Wang J, Ren Z, et al. Natural language processing for smart construction: Current status and future directions. Automat. Constr. 2022, 134:104059.
[10]Yan JK, Zheng Z, Zhou YC, Lin JR, Deng YC, et al. Recent Research Progress in Intelligent Construction: A Comparison between China and Developed Countries. Buildings 2023, 13(5):1329.
[11]Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2011-2015 Development Outline of Informatization in the Construction Industry. 2011. Available: https://www.gov.cn/gongbao/content/2011/content_2010588.htm (accessed on 16 May 2024).
[12]Ministry of Housing and Urban-Rural Development of the People’s Republic of China.2016-2020 Development Outline of Informatization in the Construction Industry. 2016.Available: https://www.mohurd.gov.cn/gongkai/zhengce/zhengcefilelib/201609/20160919_228929.html (accessed on 16 May 2024).
[13]Li F, Laili Y, Chen X, Lou Y, Wang C, et al. Towards big data driven construction industry. J. Ind. Inf. Integr. 2023, 35:100483.
[14]Zheng Z, Wang F, Gong G, Yang H, Han D. Intelligent technologies for construction machinery using data-driven methods. Automat. Constr. 2023, 147:104711.
[15]Chen M, Zhao R, Zhao L, Zhao D, Deng S, et al. Supercritical CO2 Brayton cycle: Intelligent construction method and case study. Energy Convers. Manage. 2021, 246:114662.
[16]Rasouli S, Alipouri Y, Chamanzad S. Smart Personal Protective Equipment (PPE) for construction safety: A literature review. Saf. Sci. 2024, 170:106368.
[17]Rad FF, Oghazi P, PalmiéM, Chirumalla K, Pashkevich N, et al. Industry 4.0 and supply chain performance: A systematic literature review of the benefits, challenges, and critical success factors of 11 core technologies. Ind. Mark. Manag. 2022, 105:268–293.
[18]Okonkwo C, Okpala I, Awolusi I, Nnaji C. Overcoming barriers to smart safety management system implementation in the construction industry. Results Eng. 2023, 20:101503.
[19]Palizi S, Saedi Daryan A. Critical Temperature Evaluation of Moment Frames by Means of Plastic Analysis Theory and Genetic Algorithm. IJST-T Civ. Eng. 2022, 46(2):843– 856.
[20]Zhang X, Zhang J, Ma M, Chen Z, Yue S, et al. A High Precision Quality Inspection System for Steel Bars Based on Machine Vision. Sensors-basel 2018, 18(8):2732.
[21]Atherinis D, Bakowski B, Velcek M, Moon S. Developing and Laboratory Testing a Smart System for Automated Falsework Inspection in Construction. J. Constr. Eng. Manage. 2018, 144(3):04017119.
[22]Hamledari H, Rezazadeh Azar E, McCabe B. IFC-Based Development of As-Built and As-Is BIMs Using Construction and Facility Inspection Data: Site-to-BIM Data Transfer Automation. J. Comput. Civ. Eng. 2018, 32(2):04017075.
[23]Chen J, Lu W, Fu Y, Dong Z. Automated facility inspection using robotics and BIM: A knowledge-driven approach. Adv. Eng. Inf. 2023, 55:101838.
[24]Gao C, Wang X, Wang R, Zhao Z, Zhai Y, et al. A UAV-based explore-then-exploit system for autonomous indoor facility inspection and scene reconstruction. Automat. Constr. 2023, 148:104753.
[25]Yan H, Yang N, Peng Y, Ren Y. Data mining in the construction industry: Present status, opportunities, and future trends. Automat. Constr. 2020, 119:103331.
[26]Sun W, Antwi-Afari MF, Mehmood I, Anwer S, Umer W. Critical success factors for implementing blockchain technology in construction. Automat. Constr. 2023, 156:105135.
[27]Baduge SK, Thilakarathna S, Perera JS, Arashpour M, Sharafi P, et al. Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automat. Constr. 2022, 141:104440.
[28]Pal A, Hsieh S-H. Deep-learning-based visual data analytics for smart construction management. Automat. Constr. 2021, 131:103892.
[29]Xia X, Zhou T, Du J, Li N. Human motion prediction for intelligent construction: A review. Automat. Constr. 2022, 142:104497.
[30]Li T, Li X, Rui Y, Ling J, Zhao S, et al. Digital twin for intelligent tunnel construction. Automat. Constr. 2024, 158:105210.
[31]Zhang J, Chen M, Ballesteros-Pérez P, Ke Y, Gong Z, et al. A new framework to evaluate and optimize digital transformation policies in the construction industry: A China case study. J. Build. Eng. 2023, 70:106388.
[32]Wang J, Deng K. Impact and mechanism analysis of smart city policy on urban innovation: Evidence from China. Econ. Anal. Policy 2022, 73:574–587.
[33]Song T, Dian J, Chen H. Can smart city construction improve carbon productivity? —A quasi-natural experiment based on China's smart city pilot. Sustainable Cities Soc. 2023, 92:104478.
[34]Mao C, Wang Z, Yue A, Liu H, Peng W. Evaluation of smart city construction efficiency based on multivariate data fusion: A perspective from China. Ecol. Indic. 2023, 154:110882.
[35]Yu L, Li D, Mao L, Zhou S, Feng H. Towards people-centric smart cities: A comparative evaluation of citizens’ sense of gain in pilot cities in China. J. Cleaner Prod. 2024, 434:140027.
[36]Ministry of Housing and Urban-Rural Development of the People's Republic of China. Notice of Call for Selection of Smart Construction Pilot Cities. 2022. Available: https://www.mohurd.gov.cn/gongkai/zhengce/zhengcefilelib/202205/20220525_766337.html (accessed on 16 May 2024).
[37]Ministry of Housing and Urban-Rural Development of the People's Republic of China. Notice on the Announcement of Smart Construction Pilot Cities. 2022. Available: https://www.gov.cn/zhengce/zhengceku/2022-11/09/content_5725611.htm (accessed on 16 May 2024).
[38]Rothwell R, Zegveld W. An Assessment of Government Innovation Policies, in Government Innovation Policy: Design, Implementation, Evaluation. London: Palgrave Macmillan UK, 1988, pp. 19–35.
[39]Zhang J, Chen M, Ballesteros-Pérez P, Ke Y, Gong Z, et al. A new framework to evaluate and optimize digital transformation policies in the construction industry: A China case study. J. Build. Eng. 2023, 70:106388.
[40]Zhang X, Yang F, Wan Y. The Rural Informatization Policies in China: The Power Dynamics and Policy Instruments. In Proceedings of Information for a Better World: Normality, Virtuality, Physicality, Inclusivity: 18th International Conference, iConference 2023, Virtual Event, March 13–17, 2023, pp. 598–613.
[41]Deng X, Liang L, Wu F, Wang Z, He S. A review of the balance of regional development in China from the perspective of development geography. J. Geog. Sci. 2022, 32:3–22.
[42]General Office of the People's Government of Anhui Province. Anhui Province "14th Five-Year Plan" Urban Housing Development Plan. 2022. Available: https://www.ah.gov.cn/public/1681/554130261.html?eqid=f0df6f94000331a400000004646b1605 (accessed on 16 May 2024).
[43]Kelong F. Intelligent construction puts the site in the factory. 2023. Available: https://www.ahnews.com.cn/anhui/pc/con/2023-09/28/562_960205.html (accessed on 16 May 2024).
[44]Hongyi W. The construction of Digital Yangtze-Huaihe region has been speeding up. 2021. Available: https://www.ahnews.com.cn/yaowen1/pc/con/2021-09/08/496_421384.html (accessed on 16 May 2024).
[45]Yan W, Han J, Xu J. Anhui drives high-quality development with scientific and technological innovation. 2022. Available: http://finance.people.com.cn/n1/2022/0429/c1004-32411455.html (accessed on 16 May 2024).
[46]Department of Science & Technology of Anhui Province. List of Anhui provincial key laboratories. 2024. Available: https://kjt.ah.gov.cn/kjzy/kjsj/cxpt/122102751.html (accessed on 16 May 2024).
[47]Department of Science & Technology of Anhui Province. List of Anhui national key Laboratories (including National Research Centers). 2021. Available: http://kjt.ah.gov.cn/kjzy/kjsj/cxpt/109277081.html (accessed on 16 May 2024).