Evolutionary Game Simulation on Government Incentive Strategies of Prefabricated Construction: A System Dynamics Approach

Cheng, Baoquan; Wei, Yuhu; Zhang, Wei; Zhou, Xintao; Chen, Huihua; Huang, Lipeng; Huang, Jianling; Kang, Xiaofang

doi:10.1155/2020/8861146

Cited by 25 publications

(18 citation statements)

References 34 publications

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“…is method can effectively determine the importance of traffic nodes from the global scope and thus better allocate resources in the case of complex traffic networks. is is conducive to the government to propose dynamic policies which can better improve the stability of traffic [10]. e basis of this method is the economic input-output model, which applies the key industry identification method in the input-output model to the evaluation of the importance of urban transportation network nodes.…”

Section: Methods For Identifying Importance Of Urban Trafficmentioning

confidence: 99%

Applying the Virtual Input‐Output Method to the Identification of Key Nodes in Busy Traffic Network

et al. 2021

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How to identify the key nodes effectively in urban traffic networks to achieve the equitable resource allocation face to the complex traffic network? This issue needs to be solved in current traffic management. This study considered the urban traffic network topology and network traffic status, put forward an improved model based on the economics of the input-output method by introducing a virtual node to the selected network set up with the flow of urban traffic network, sensor nodes by Leontief inverse matrix calculation coefficient to determine node importance, according to the node importance to deliberate attack traffic network to analyze its robustness, to test the accuracy and practicability of the method. The results show that this improved method adopted to measure the importance of traffic nodes from the global scope has the advantages of fast calculation and simple process and provides a more reliable basis for rational allocation of transport resources.

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Section: Methods For Identifying Importance Of Urban Trafficmentioning

confidence: 99%

Applying the Virtual Input‐Output Method to the Identification of Key Nodes in Busy Traffic Network

et al. 2021

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“…In recent years, evolutionary game and repeated game have been widely used in construction projects. Some scholars have used evolutionary game theory to discuss construction projects, including behavioral strategies of buyer and investor [49], opportunistic behavior of investors in the operation stage [50], selection of buyer regulation mode in operation phase [51], public participation in buyer regulation [52], government incentive strategies of prefabricated construction [53], and how to enhance stakeholder cooperation [54]. For repeated games, Tserng et al used repeated games to analyze the role of national construction units in promoting constructions [55] and green building scheme design.…”

Section: Complexitymentioning

confidence: 99%

Psychological Contract of Buyer‐Supplier Relationships in Construction Projects: An Analysis Based on Game Theory

Luo

2021

Complexity

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Expect for formal contracts, there are informally unwritten psychological contracts (PC) in the relationship between buyer and supplier for construction projects. The PC can affect the construction project performance and even cause project failure, but its process and formation are complex and not comprehensive in existing researches. This paper analyzes the PC between buyer and supplier by using evolutionary game and repeated game to tackle this gap. The results show the following: (1) the goodwill and interest have an important impact on PC fulfillment. (2) The PC is vulnerable; for example, once either one fails to perform PC, the other will also destroy PC, and then the construction project will enter a vicious circle. (3) In the process of repeated game, the effect of goodwill will gradually disappear, and the interest will play a major role. (4) If the project performance is only linked to one participant, it will lead to breach from another player. Some measures may help both sides to complete PC, such as making both sides profitable, increasing the emphasis on business reputation, and improving the relevance of construction projects performance.

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“…us, freight volume can reflect the transportation development level to some extent. Since the policymakers cannot formulate appropriate strategies with limited information [3], then predicting freight volume is important for them to make some related strategies. e forecast of freight volume is the foundation of transportation facility planning and construction, and it can provide useful and appropriate policy-making information for the government department that conducts market supervision and management [4].…”

Section: Introductionmentioning

confidence: 99%

Forecast of Freight Volume in Xi’an Based on Gray GM (1, 1) Model and Markov Forecasting Model

Yang

Tang

Gan³

et al. 2021

Journal of Mathematics

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Due to the continuous improvement of productivity, the transportation demand of freight volume is also increasing. It is difficult to organize freight transportation efficiently when the freight volume is quite large. Therefore, predicting the total amount of goods transported is essential in order to ensure efficient and orderly transportation. Aiming at optimizing the forecast of freight volume, this paper predicts the freight volume in Xi’an based on the Gray GM (1, 1) model and Markov forecasting model. Firstly, the Gray GM (1, 1) model is established based on related freight volume data of Xi’an from 2000 to 2008. Then, the corresponding time sequence and expression of restore value of Xi’an freight volume can be attained by determining parameters, so as to obtain the gray forecast values of Xi’an’s freight volume from 2009 to 2013. In combination with the Markov chain process, the random sequence state is divided into three categories. By determining the state transition probability matrix, the probability value of the sequence in each state and the predicted median value corresponding to each state can be obtained. Finally, the revised predicted values of the freight volume based on the Gray–Markov forecasting model in Xi’an from 2009 to 2013 are calculated. It is proved in theory and practice that the Gray–Markov forecasting model has high accuracy and can provide relevant policy bases for the traffic management department of Xi’an.

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Evolutionary Game Simulation on Government Incentive Strategies of Prefabricated Construction: A System Dynamics Approach

Cited by 25 publications

References 34 publications

Applying the Virtual Input‐Output Method to the Identification of Key Nodes in Busy Traffic Network

Applying the Virtual Input‐Output Method to the Identification of Key Nodes in Busy Traffic Network

Psychological Contract of Buyer‐Supplier Relationships in Construction Projects: An Analysis Based on Game Theory

Forecast of Freight Volume in Xi’an Based on Gray GM (1, 1) Model and Markov Forecasting Model

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