Abstract
The decisions and actions of operators in the operation of transport infrastructure play a crucial role in the sustainability of the project but are influenced by factors such as the strength of government regulation and the frequency of use by users. The influence of social recognition and acceptance by the authorities on the decisions of the various parties involved in a project is becoming increasingly significant. To address this issue, this paper attempts to apply prospect theory to characterize the impact of changes in recognition on the decisions of project managers and the government from the perspective of recognition and to construct a tripartite evolutionary game model for the government, the operator, and the users, taking into account the combined effect of multiple factors, to explore the evolutionary law of the operator’s strategy choice. Evolutionary game theory, in which each person is considered irrational and behavior is changeable, is more realistic. The addition of prospect theory allows the model to more realistically reflect the decisions of each participant in the game process when faced with risk. The results of the study show that there is an optimal level of external regulation to maximize the benefits for all three parties in the game, strong government regulation does not necessarily improve service quality, operators tend to provide low-quality services in the game process and incentives should be increased, and that attempts should be made to provide users with a variety of transport infrastructure options to ensure that users’ interests are maximized. The paper further analyzes the indicators established by sensitive factors using BP neural networks on the basis of the analysis of transportation infrastructure operation and impact sensitive factors using evolutionary games and finds that the conclusions obtained by deep learning algorithms are more consistent with those obtained using evolutionary games, achieving cross-validation of the results. The reliability of the result is improved, and it is demonstrated that deep learning algorithms can be introduced as a supplement in the process of future analysis of transportation infrastructure operations. Finally, management suggestions are made in light of the actual situation.
Highlights
As an important part of urban infrastructure, transport infrastructure has a large impact on the development and economic growth of cities
Some scholars believe that risks should be avoided through supplementary mechanisms [4]. rough the above-mentioned scholars’ studies, it can be found that, in the operation process, the interests of the various parties involved in the project are not consistent, and they may damage the overall interests for their own benefit. erefore, it is of practical significance to study the behavior of the project parties in the operation process and the reasons for their occurrence
To address the difficulty of achieving sustainability in the operation of transport infrastructure, Wu argues that the PPP model should be introduced for the operation of stock assets to expand the sources of financing to revitalize the project [9]; Sun proposes promoting “hybridization” to enhance the benefits of the project through the analysis of two typical projects [10]; Xia et al used an evolutionary game approach to analyze the impact of different levels of social regulation on the behavior of government departments and the private sector
Summary
As an important part of urban infrastructure, transport infrastructure has a large impact on the development and economic growth of cities. To address the difficulty of achieving sustainability in the operation of transport infrastructure, Wu argues that the PPP model should be introduced for the operation of stock assets to expand the sources of financing to revitalize the project [9]; Sun proposes promoting “hybridization” to enhance the benefits of the project through the analysis of two typical projects [10]; Xia et al used an evolutionary game approach to analyze the impact of different levels of social regulation on the behavior of government departments and the private sector. (1) Based on prospect theory and imperfectly rational decision-making in the study of sustainable operation of transport infrastructure projects under government regulation, it more realistically reflects the choices of the parties involved in the project when facing different degrees of risk. (3) e paper uses BP neural networks to predict the operation of transportation infrastructure and finds that the conclusions obtained are closer to those of the traditional evolutionary game approach, which can be better implemented with the traditional approach and facilitate the operation of transportation infrastructure
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