Abstract
With the increasing demand for elderly care institutions in society, the issue of elderly care has become a serious social problem and a widely publicised livelihood issue. In order to actively respond to the trend of a deeply ageing population, the infrastructure of urban elderly care services is being strengthened. Led by relevant government departments, many scholars are exploring a model suitable for the development of elderly care in China, taking into account the experience of elderly care services at home and abroad. This paper proposes a universal planning model for elderly institutions based on multivariate integer linearity, introducing the zoning method and grey forecasting. It solves the problem of deciding the number of elderly institutions to be built in each district of a particular city in the government's future planning. Using Nanjing as an example, the model is then substituted with data from the Nanjing Rating Standards for Nursing Homes (for Trial Implementation) to obtain a table of construction plans for various types of nursing homes in five major stages during the period 2021-2035 and a map of the recommended distribution of nursing homes. The model simplifies complex calculations by transforming multivariate non-linear problems into linear ones. The simulation results have been proved to be practical and universal. The research results of the thesis can provide a theoretical basis and decision-making reference for the construction projects of elderly institutions and other functional infrastructures where the population gathers, which is conducive to the promotion of urbanisation and pulling economic growth, and provides material guarantee for the improvement of people's living standards..
Highlights
Under the background of the aging of the population, the social structure and patterns of China's society have undergone a major transformation, and China has become one of the fastest aging countries in the world
It is a national concern to find a solution for planning access to elderly care institutions in line with the national context and the people's situation
With total cost as the dependent variable and the number of nursing homes and falsification in each district as the independent variables, multiple linear regression can be used to investigate the relationship between a dependent variable and multiple independent variables [5]
Summary
Under the background of the aging of the population, the social structure and patterns of China's society have undergone a major transformation, and China has become one of the fastest aging countries in the world. Most scholars do not have a systematic theoretical framework to support them, and no scholars have yet summarized a standardized model for planning elderly institutions. Against this background, it is of great practical significance to study the current situation of the utilization of elderly care institutions and the factors influencing them. It is of great practical significance to study the current situation of the utilization of elderly care institutions and the factors influencing them It will help the government grasp the current situation of social elderly care services and improve the shortcomings of the existing service system
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