| Literature DB >> 36072033 |
Dong Wang1, Meiling Wu1, Jiulong Qu1, Yuncui Fan2.
Abstract
In China, grassroots governments have attempted to introduce community planners into community micro-renewal, using their expertise to guide the design and implementation of community micro-renewal. However, issues remain to be studied and resolved, including how to effectively play the community planner role to coordinate multiple parties' interests. This study constructed an evolutionary game model based on the behaviors of multiple subjects with participation by community planners, to establish the payment functions on both sides of the game under different choice strategies; explore evolutionary stabilization strategies by replication dynamic equations; and to analyze the conditions for the multi-party evolutionary game to reach the ideal stable state. The findings: (1) Show that financial subsidies provided by the grassroots government to community planners have a positive effect on the latter's behavioral choices; (2) Illustrate the path of the tripartite evolutionary game among the grassroots government, residents, and community planners to reach ideal stability (incentive, active participation, and positive promotion); and (3) Describe how the project benefits from community planners promoting community micro-renewal can effectively promote their positive behavioral choices.Entities:
Keywords: community micro-renewal; community planner; evolutionary game; stakeholders; urban renewal
Year: 2022 PMID: 36072033 PMCID: PMC9442052 DOI: 10.3389/fpsyg.2022.943958
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Job descriptions among community planners participating in community micro-renewal.
| City | Job description | Community |
| Beijing | (a) Investigation and survey, | Chaoyangmen Community, Dongcheng District |
| Shanghai | (a) Develop community assessment methods, | North Sichuan Road Community, Hongkou District |
| Chengdu | (a) Volunteer, | Yulin East Road Community, Wuhou District |
| Shenzhen | (a) Preparation of community plans, | Guihua Community, Longhua District |
FIGURE 1Community micro-renewal evolutionary game subjects and strategy choices.
Parameters.
| Parameter | Description |
|
| Project funds invested by grassroots government |
|
| Damage to the credibility and image of grassroots government |
|
| Resident participation costs |
|
| Community planner engagement costs |
|
| Financial subsidies for community planners provided by grassroots government |
|
| Grassroots government performance improvement rewarded by higher authorities |
|
| Residents’ vested benefits |
|
| Residents’ active participation rewarded by grassroots government |
|
| Residents’ sense of achievement from participating in community management |
|
| Additional benefits for residents from improved livelihoods |
|
| Community planners involved in general projects gain |
|
| Community planner income from community micro-renewal project |
|
| Project experience and capacity-building for community planners |
|
| Personal emotional satisfaction for community planners |
|
| Resident losses from community micro-renewal not meeting targets |
|
| Lack of resident cooperation leading to loss of community planners |
|
| Loss of grassroots government from penalties imposed by higher authorities |
| μ | Probability of choice of incentive strategy by grassroots government |
|
| Probability of residents choosing to actively participate |
| ρ | Probability of community planners choosing to actively promote |
Tripartite payoff matrix under grassroots government incentives (μ).
| Game subjects | Community planners | |
|
|
| |
| Residents | Active promotion(ρ) | No promotion(1−ρ) |
| Active participation( | ||
| Negative participation | − | |
Tripartite payoff matrix under grassroots government non-incentive (1-μ).
| Game subjects | Community planners | |
|
| ||
| Residents | Active promotion(ρ) | No promotion(1−ρ) |
| Active participation( | − | − |
| Negative participation | − | − |
Eigenvalues of the equilibrium points of the system N.
| Equilibrium point | λ1 | λ2 | λ3 | Progressive stability conditions |
|
|
|
| ||
| − | ||||
|
| − | |||
| − | − | − | ||
| − | − | |||
| − | − | − | ||
| − | ||||
| − | − | − | − |
Evolutionary stability conditions for the equilibrium point of the system N.
| Equilibrium point | Evolutionary stability conditions |
| λ1= | |
| − | |
| − | |
Simulation parameter settings.
| Parameters | Value | Parameters | Value |
|
| 20 |
| 20 |
|
| 10 |
| 15 |
|
| 20 |
| 20 |
|
| 25 |
| 20 |
|
| 10 |
| 15 |
|
| 30 |
| 30 |
|
| 10 |
| 25 |
|
| 15 |
FIGURE 2Evolutionary paths of the behavior of a three-party game with different initial values.
FIGURE 3System evolution path when the government provides financial subsidies (K) to community planners.
FIGURE 4Impact of residents’ sense of managerial achievement (R13) on evolutionary path.
FIGURE 5Impact of community planners’ project income (R16) on system evolution path.