IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0290957.html
   My bibliography  Save this article

How to promote the sustainable development of virtual reality technology for training in construction filed: A tripartite evolutionary game analysis

Author

Listed:
  • Chunyan Shi
  • Xinyue Miao
  • Hui Liu
  • Yang Han
  • Yafei Wang
  • Weijun Gao
  • Gen Liu
  • Siwen Li
  • Yingzi Lin
  • Xindong Wei
  • Tongyu Xu

Abstract

In recent years, virtual reality training technology (VRTT) has been considered by many scholars as a new training method instead of traditional training (TT) to reduce unsafe behaviors ascribed to construction workers (CWs) and corporate accident rates. However, in this process, a conflict of interest arises among the government, construction enterprises (CEs), and CWs. Therefore, this study introduces a quantitative research method, the three-party evolutionary game and creatively combining them with the product life cycle (PLC) to solve this problem by analyzing the equilibrium and evolutionarily stable strategies of the system. Finally, collaborative players’ decision-making behaviors and their sensitivity to critical factors are examined. This paper will illustrate these in each stage through numerical simulations. The results of the study indicate that the government plays a dominant role in the VRTT introduction stage. When the government gives CEs appropriate subsidies, CEs will eventually realize the importance of VRTT for CWs. Then the government will gradually reduce the amount of the subsidies in this process. In addition, we also find that the continually high cost will lead to negative policies by the government, which requires the active cooperation and attitude change from CEs and CWs. Ultimately, the government, CEs and CWs adopt the best strategy in the evolutionary process to facilitate the promotion, application and sustainability of VRTT in the construction industry.

Suggested Citation

  • Chunyan Shi & Xinyue Miao & Hui Liu & Yang Han & Yafei Wang & Weijun Gao & Gen Liu & Siwen Li & Yingzi Lin & Xindong Wei & Tongyu Xu, 2023. "How to promote the sustainable development of virtual reality technology for training in construction filed: A tripartite evolutionary game analysis," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-24, September.
  • Handle: RePEc:plo:pone00:0290957
    DOI: 10.1371/journal.pone.0290957
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0290957
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0290957&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0290957?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rafael Sacks & Jennifer Whyte & Dana Swissa & Gabriel Raviv & Wei Zhou & Aviad Shapira, 2015. "Safety by design: dialogues between designers and builders using virtual reality," Construction Management and Economics, Taylor & Francis Journals, vol. 33(1), pages 55-72, January.
    2. Okuguchi, Koji & Yamazaki, Takeshi, 2008. "Global stability of unique Nash equilibrium in Cournot oligopoly and rent-seeking game," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1204-1211, April.
    3. Coninx, Kristof & Deconinck, Geert & Holvoet, Tom, 2018. "Who gets my flex? An evolutionary game theory analysis of flexibility market dynamics," Applied Energy, Elsevier, vol. 218(C), pages 104-113.
    4. Lin Zhang & Liwen Chen & Zezhou Wu & Sizhen Zhang & Huanbin Song, 2018. "Investigating Young Consumers’ Purchasing Intention of Green Housing in China," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    5. Tongyao Feng & Shuangliang Tai & Chengshuang Sun & Qingpeng Man, 2017. "Study on Cooperative Mechanism of Prefabricated Producers Based on Evolutionary Game Theory," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-6, July.
    6. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Jun & Qin, Yanjun & Zhou, Jingyang, 2021. "Incentive policies for prefabrication implementation of real estate enterprises: An evolutionary game theory-based analysis," Energy Policy, Elsevier, vol. 156(C).
    2. Tingfa Zhang & Huaying Qin & Weishuang Xu, 2022. "Environmental Regulation, Greenwashing Behaviour, and Green Governance of High-Pollution Enterprises in China," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    3. Leng Yi & Fukuda Hiroatsu, 2022. "Incentives for Innovation in Robotics and Automated Construction: Based on a Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    4. Meng Ding & Hui Zeng, 2022. "Multi-Agent Evolutionary Game in the Recycling Utilization of Sulfate-Rich Wastewater," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    5. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    6. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    7. Di Wang & Yuman Li, 2022. "Measuring the Policy Effectiveness of China’s New-Energy Vehicle Industry and Its Differential Impact on Supply and Demand Markets," Sustainability, MDPI, vol. 14(13), pages 1-16, July.
    8. Roy, Sunanda & Sabarwal, Tarun, 2012. "Characterizing stability properties in games with strategic substitutes," Games and Economic Behavior, Elsevier, vol. 75(1), pages 337-353.
    9. Hsiao-Ping Chang & Chun-Chieh Ma & Han-Shen Chen, 2019. "Climate Change and Consumer’s Attitude toward Insect Food," IJERPH, MDPI, vol. 16(9), pages 1-17, May.
    10. Hefti, Andreas, 2016. "On the relationship between uniqueness and stability in sum-aggregative, symmetric and general differentiable games," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 83-96.
    11. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    12. Wenhui Zhao & Yimeng Liu & Jiansheng Hou & Lifang Liu, 2023. "Impact of Carbon Trading Mechanism Considering Blockchain Technology on the Evolution of New Energy Vehicle Industry in the Post-Subsidy Era," Sustainability, MDPI, vol. 15(17), pages 1-18, September.
    13. Andreas M. Hefti, 2013. "Local contraction-stability and uniqueness," ECON - Working Papers 112, Department of Economics - University of Zurich.
    14. Chung-Te Ting & Chi-Ming Hsieh & Hsiao-Ping Chang & Han-Shen Chen, 2019. "Environmental Consciousness and Green Customer Behavior: The Moderating Roles of Incentive Mechanisms," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    15. Pedro Cuesta-Valiño & Pablo Gutiérrez Rodríguez & Estela Núñez-Barriopedro, 2020. "Perception of Advertisements for Healthy Food on Social Media: Effect of Attitude on Consumers’ Response," IJERPH, MDPI, vol. 17(18), pages 1-20, September.
    16. Yunqing Liu & Ziqi Guo & Qianwen He, 2025. "Configuring Technological Innovation and Resource Synergies for Performance in New Energy Vehicle Enterprises: A Path Analysis Using Empirical and Comparative Methods," Sustainability, MDPI, vol. 17(11), pages 1-21, June.
    17. Li-cai Lei & Shang Gao & En-yu Zeng, 2020. "Regulation strategies of ride-hailing market in China: an evolutionary game theoretic perspective," Electronic Commerce Research, Springer, vol. 20(3), pages 535-563, September.
    18. Yan Chen & Menglin Zhan & Yue Liu, 2023. "Promoting the Development of China’s New-Energy Vehicle Industry in the Post-Subsidy Era: A Study Based on the Evolutionary Game Theory Method," Energies, MDPI, vol. 16(15), pages 1-15, August.
    19. Qing He & Haiyang Zhao & Lin Shen & Liuqun Dong & Ye Cheng & Ke Xu, 2019. "Factors Influencing Residents’ Intention toward Green Retrofitting of Existing Residential Buildings," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    20. Chao Wu & Shuling Liang & Weijiong Wu & Yuxiang Hong, 2021. "Practicing Green Residence Business Model Based on TPB Perspective," Sustainability, MDPI, vol. 13(13), pages 1-11, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0290957. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.