Assisting Age-Friendly City Planning Using Local Demographic Information

Abstract

Hong Kong is becoming an aged city. In a few years, elderly people will account a major portion of its population. Thus, to consider the elderly’s demands in this heterogeneous city calls for research and practices. In this research, the impacts of three demographic factors, which are age, income and education, on age-friendly city planning are explored. A street survey was conducted. The questionnaire inquired the civilians’ perception of importance of age-friendly precincts design criteria in seven dimensions, which are outdoor spaces, transportation, building and neighbourhood, social/civic participation & employment, respect, communication and community & health services. In this paper, the data were analysed using ordinal logistic regression modelling to indicate how each demographic factor contributes to the score of each age-friendly precincts design criterion. These relationships will help policy-makers and developers to estimate the desirability of their age-friendly city facilities and elderly housing in their future planning works.