An Resarch On The Requirements And Behaviors Of House Consumption Of Senior Citizens In Harbin

Many countries in the world is facing aging of the population。Solving the housing problems of the elderly scientifically, not only has relationship with older patients, more relationship with the healthy development, the harmony and stability of the society. The research of housing needs and consumer behavior of older persons can provide advices and policies for the government and real estate developers, and promote the sound and healthy development of the entire real estate market.At present, the population aging problem in Harbin is prominent, the total number of the elderly population continues to rise, there are many contradictions in pension.Elderly housing problem is a big problem.In the background of population aging of Harbin, the thesis takes the elderly as object and constructs gray models and statistical associations on the basis of related theories in order to analyzes the factors that affect the housing demand and consumer behavior of the elderly, and put forward reasonable proposals for governments and real estate developers.This paper is clear about the characteristics of aging of the population, the present situation and development trend in Harbin, then it expounds the housing consumer behavior theory, market segmentation theory and the theory of housing demand, and analyzes the present status of the elderly housing demand and supply in Harbin, then it constructs gray models and statistical associations. Among them, through the qualitative analysis of the selected influencing factors, we show the purposes and methods of grey relational model and introduce operation method. We take the related data from 2004 to 2015, which are from Harbin city statistical yearbook, into the grey correlation model to measure the influence of various factors in Harbin; For consumer behavior model of affecting factors, we identify the characteristics of the demographic characteristics, consumers’ intentions to purchase houses and the factors that consumers pay attention to when they buy a house, and design a questionnaire. We make three assumptions about housing consumption behaviors and make clear the statistical methods used for descriptive statistics analysis, reliability analysis, factor analysis and regression analysis. The data acquired from questionnaires is run in the software to clearly understand of data distribution, the credibility of the data and distinguish between the different factors of correlation. Finally we put forward advices for government and real estate developers according to the results of the software.