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Shared bicycle user parking behavior selection evolution game analysis method

A technology of shared bicycles and evolutionary game, applied in the field of evolutionary game analysis of shared bicycle users' parking behavior choices, can solve problems such as supply and demand imbalance, traffic problems, and irregular parking of shared bicycles, and achieve the goal of changing travel preferences and maximizing incentive strategies Effectiveness, the effect of achieving sustainable development

Pending Publication Date: 2021-11-02
SOUTHEAST UNIV
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Problems solved by technology

[0003] Since the emergence of shared bicycles, the imbalance between supply and demand has become increasingly prominent, and irregular parking has become a common problem, which not only seriously affects the normal operation of the urban transportation system, but also easily leads to a series of traffic problems
Although shared bicycle companies will regularly manage shared bicycles manually, due to the wide distribution of shared bicycles, the limited number of management personnel, and the high cost of manual operation and maintenance, the shared bicycle parking regulations issued by various parts of my country have little effect on restricting users , the problem of irregular parking of shared bicycles and the imbalance between supply and demand has not been significantly improved
Through investigation, Liu Chang found that for the scheduling needs triggered by the migration of small-scale shared bicycles, it is not the best choice to use full-time personnel for scheduling

Method used

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  • Shared bicycle user parking behavior selection evolution game analysis method
  • Shared bicycle user parking behavior selection evolution game analysis method
  • Shared bicycle user parking behavior selection evolution game analysis method

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Embodiment Construction

[0032] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0033] The present invention is a kind of shared bicycle user's parking behavior selection evolutionary game analysis method based on replication dynamics, such as figure 1 As shown, the specific prediction process is as follows:

[0034] 1. Analysis of the interests between shared bicycle users and enterprises

[0035]In the relationship between shared bicycle users and enterprises, enterprises provide bicycles for users to ride, and users need to pay deposits and riding fees to enterprises. In the development process of shared bicycles, the phenomenon of users parking shared bicycles is common, which also makes the operation and maintenance of enterprises difficult and costly. In response to this problem, the incentive strategies implemented by shared bicycle companies have not achieved the expected results. From the perspective of economic ...

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Abstract

The invention discloses a shared bicycle user parking behavior selection evolution game analysis method, which is used for carrying out evolution game analysis on shared bicycle user parking behavior selection and an enterprise incentive strategy based on a replication dynamic evolutionary game theory. A matrix determinant and a trace expression corresponding to a balance point of a replicated dynamic equation are given, and the stability of the balance point is analyzed by means of a local stability analysis method of a Jacobi matrix. The decision-making process of two game parties corresponding to equilibrium point stability and evolution stability strategies under different conditions are discussed, evolution game results in three aspects of cost, income and loss of the enterprise and the user are analyzed and compared, and evolution stability strategy paths under different initial conditions are analyzed through simulation test. On the premise of not losing own benefits, the incentive strategy of the enterprise changes the parking behavior of the user, and along with the implementation of the incentive strategy, the parking behavior of the user and the strategy selection of the enterprise enter a virtuous cycle stage.

Description

technical field [0001] The invention belongs to the field of parking behaviors of shared bicycle users, and in particular relates to a game analysis method for the selection and evolution of shared bicycle users' parking behavior based on replication dynamics. Background technique [0002] With the development of the Internet and the sharing economy, since 2014, dockless shared bicycles based on mobile payment have developed rapidly in my country, and since then our country has entered a new era of shared bicycles. In recent years, Internet rental bicycles have developed rapidly in my country and even around the world. The number of global shared bicycle users is expected to exceed 306 million in 2020, and the number of Internet rental bicycle users in my country will reach 209 million. After subways and buses, shared bicycles have become the third largest public transportation mode. As a product of the development of the sharing economy, the emergence of shared bicycles ha...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/30
CPCG06Q10/06315G06Q50/40
Inventor 季彦婕汪贝贝刘攀徐铖铖端木含笑黎文皓
Owner SOUTHEAST UNIV