A grey-forecasting based multiple linear regression model for planning nursing homes

With the increasing demand for elderly care institutions in society, issue of has become a serious social problem and widely publicised livelihood issue. In order to actively respond trend deeply ageing population, infrastructure urban services is being strengthened. Led by relevant government departments, many scholars are exploring model suitable development China, taking into account experience at home abroad. This paper proposes universal planning based on multivariate integer linearity, introducing zoning method grey forecasting. It solves deciding number be built each district particular city government's future planning. Using Nanjing as an example, then substituted with data from Rating Standards Nursing Homes (for Trial Implementation) obtain table construction plans various types nursing homes five major stages during period 2021-2035 map recommended distribution homes. The simplifies complex calculations transforming non-linear problems linear ones. simulation results have been proved practical universal. research thesis can provide theoretical basis decision-making reference projects other functional infrastructures where population gathers, which conducive promotion urbanisation pulling economic growth, provides material guarantee improvement people's living standards..