Abstract：In order to explore the process of residents’ emotion dissemination in community built environment renovation, a learning rule that integrates residents’ personality preferences and historical information is designed based on evolutionary game and multi-agent simulation, and the inner mechanism of residents’ emotional dynamic evolution is analyzed. The results demonstrate that enhancing the willingness of neutral players to interact with positive ones can promote the spread of positive emotion and system stability. Besides, residents’ support cost, synergistic benefits, government compensation, and the difference of information diffusion cost between negative and positive, are the determinants of macro-evolution of residents’ emotional state.
姜凤珍, 史晓妮. 社区建成环境改造中居民情绪传染机制及治理研究[J]. 复杂系统与复杂性科学, 2023, 20(4): 98-106.
JIANG Fengzhen, SHI Xiaoni. On the Mechanism and Governance of Residents’ Emotional Contagion in Community Built Environment Renovation. Complex Systems and Complexity Science, 2023, 20(4): 98-106.
[1] 徐晓明,许小乐.社会力量参与老旧小区改造的社区治理体系建设[J]. 城市问题, 2020(8): 74-80. XU X M, XU X L. Research on community governance system construction of social forces participating in old community reconstruction[J].Urban Problems, 2020(8): 74-80. [2] CHEN Y, LIU T, CHEN R S, et al. Influence of the built environment on community flood resilience: evidence from Nanjing City, China[J]. Sustainability, 2020, 12(6): 2401. [3] CHEN C, LUO W, KANG N, et al. Serial mediation of environmental preference and place attachment in the relationship between perceived street walkability and mood of the elderly[J]. International Journal of Environmental Research and Public Health, 2020, 17(13): 4620. [4] 王青. “城市双修”理念下昆明市主城区消极空间的修补策略研究[D]. 昆明:昆明理工大学, 2018. WANG Q. Research on the mending strategy of negative space in Kunming’s main city area based on the “urban double repair” ideology[D]. Kunming: Kunming University of Science and Technology, 2018. [5] ROE J, MONDSCHEIN A, NEALE C, et al. The urban built environment, walking and mental health outcomes among older adults: a pilot study[J]. Frontiers in Public Health, 2020, 8: 575946. [6] LERNER J S, LI Y, VALDESOLO P, et al. Emotion and decision making[J]. Annual Review of Psychology, 2015, 66(1): 799. [7] WEI X C, ZHANG Y F, FAN Y Y, et al. Online social network information dissemination integrating overconfidence and evolutionary game theory[J]. IEEE Access, 2021, 9: 90061-90074. [8] ZHOU L X, LIN J, LI Y F, et al. Innovation diffusion of mobile applications in social networks: a multi-agent system[J]. Sustainability, 2020, 12(7): 2884. [9] HILL A L, RAND D G, NOWAK M A, et al. Emotions as infectious diseases in a large social network: the SISa model[J]. Proceedings of the Royal Society B-Biological Sciences, 2010, 277(1701): 3827-3835. [10] 陈映雪. 居民情绪与建成环境关系研究及规划应用初探[D]. 南京:南京大学, 2015. CHEN Y X. A study of relevance between residents’ emotions and built environment: a preliminary research for emotion-based planning[D]. Nanjing: Nanjing University, 2015. [11] WANG Z J, CHEN A. On ISRC rumor spreading model for scale-free networks with self-purification mechanism[DB/OL].[2021-12-20]. http://doi.org/10.1155/2021/6685306. [12] 徐涵,张庆.复杂网络上传播动力学模型研究综述[J].情报科学, 2020, 38(10): 159-167. XU H, ZHANG Q.A review of epidemic dynamics on complex networks[J]. Information Science, 2020, 38(10): 159-167. [13] VERBEKE W. Individual differences in emotional contagion of salespersons: its effect on performance and burnout[J]. Psychology & Marketing, 1997, 14(6): 617-636. [14] ZHANG X, LIANG H M, FANG F, et al. A method for risky multiple attribute decision making considering regret and rejoicing of the decision maker[J]. Computers & Industrial Engineering, 2018, 124: 422-434. [15] WANG L, ZHENG J J. Research on low-carbon diffusion considering the game among enterprises in the complex network context[J]. Journal of Cleaner Production, 2019, 210: 1-11. [16] RADUCHA T, SAN M M. Emergence of complex structures from nonlinear interactions and noise in coevolving networks[J]. Scientific Reports, 2020, 10(1): 15660. [17] LI D Z, DU B Z, ZHU J. Evaluating old community renewal based on emergy analysis: a case study of Nanjing[J]. Ecological Modelling, 2021, 449: 109550.
