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Incentive Mechanism of BIM Application in Prefabricated Buildings Based on Evolutionary Game Analysis

Autor(en):
ORCID


ORCID
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Buildings, , n. 5, v. 13
Seite(n): 1162
DOI: 10.3390/buildings13051162
Abstrakt:

Prefabricated buildings have become a key area promoted in the new urbanization. Implementing BIM is one of the crucial supports for accelerating the development of prefabricated buildings. In order to effectively promote the development of BIM+ prefabricated buildings, this paper establishes an evolutionary game model between the government and prefabricated construction enterprises. The replication dynamic equation is employed to analyze the strategy choices of both participants, and the Matlab simulation is adopted to explore the evolution process of enterprises to actively use BIM. Results show that the application of new technologies can be effectively promoted by increasing the unit price of carbon trading, enlarging the tax rate difference, advancing technology, improving the level of enterprise effort, and enhancing social awareness to reduce the payment-to-income ratio of enterprises using BIM. Additionally, reasonable administrative measures, policy subsidies and fines will also positively affect government incentives and the strategy choice of enterprises using BIM. Therefore, a reasonable government incentive system can promote the development of BIM+ prefabricated buildings to a certain extent.

Copyright: © 2023 by the authors; licensee MDPI, Basel, Switzerland.
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10728477
  • Veröffentlicht am:
    30.05.2023
  • Geändert am:
    01.06.2023
 
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