A Study On The Interactive Influence Of The Elderly Subject In Beilin District Based On Simulation Experiments

According to the results of the seventh national population census,as of November2020,the proportion of the population aged 60 and above in the country was 18.70%,and the proportion of the population aged 65 and above in the total population was13.50%,an increase of 5.44% compared to 2010.The population aged 60 and above in Beilin District accounts for 20.19%,ranking first among the main urban areas of Xi’an City.The increasingly severe aging population has made research on urban elderly care increasingly important.In the elderly care scenario in Beilin District,there is an interactive relationship between the supply and demand sides of elderly care services,which has an impact on each other’s behavior.The choice of elderly care methods and the behavior of urban elderly care service providers are influenced by various factors such as government subsidies,elderly care service resource supply,and elderly care service fees,and their interactive behavior is complex and difficult to quantify.Therefore,this article conducts research on the interactive impact of elderly care subjects.Firstly,this article reviews the relevant literature on urban elderly care and proposes the utility function of urban elderly care and the profit function of elderly care institutions.Through an agent based modeling method,an interaction model for urban elderly care entities is constructed.The simulation operation of the interaction model is implemented on the Netlogo computer platform,restoring the interaction scenario of urban elderly care entities.Subsequently,this article conducted a questionnaire survey and interview survey on some elderly people and elderly care institutions in Beilin District,and collected data on their preferences for elderly care and the operation of elderly care institutions.Based on this,the parameter settings of the interaction model were completed.Secondly,based on the urban elderly care interaction model,this article parameterizes the influencing factors of urban elderly care interaction,and conducts simulation adjustment experiments on government subsidies,elderly care service resource supply,elderly care service fees,aging rate,and resident income.Finally,based on the results of simulation experiments,this article provides targeted suggestions for the strategies of elderly care service providers and the subsidy behavior of government departments.In summary,this article conducted simulation modeling on the interaction behavior of urban elderly care entities,and conducted simulation experiments on the influencing factors of interaction behavior.Based on the results of the simulation experiments,this article believes that: the supply of elderly care service resources,elderly care service fees,aging rate,government subsidies,and resident income all have a significant impact on the interaction behavior of urban elderly care entities in Beilin District,and full-time elderly care institutions increase the supply of elderly care service resources Reducing the cost of elderly care services can significantly increase the number of service providers,increase revenue,and achieve consistency between its own optimization path and the interests of the elderly.At the same time,it was found that the low service fees of community home-based elderly care service stations are one of the reasons for their poor profitability,while increasing government subsidies has a more significant impact on the profit growth of full-time elderly care institutions,and the effect on the profit growth of community home-based elderly care service stations is not significant.