Analysis and Optimization Paths of Smart Elderly Care Demand in Changchun City
In order to understand the cognition and needs of elderly people to smart elderly care and their influencing factors in Changchun City,a questionnaire survey was conducted on 300 elderly people.268 valid questionnaires showed that 76.5%of the respondents did not understand smart elderly care,and 84.7%expressed needs for it.Binary logistic regression analysis shows that age,personal income and the understanding level of smart elderly care are factors that affect demand(P<0.05).In order to address the development challenges of cognitive popularization,demand willingness,product design and elderly care risks,four optimization paths are proposed:optimizing popularization,refining demand,empowering multi-dimensional products and controlling pre-risks,so as to help promote the sustainable improvement and development of smart elderly care in Changchun City.
NETL
NSTL
万方数据
