π€ AI Summary
Current aging-in-place practices lack a standardized evaluation framework. This study proposes the first quantifiable and visualizable spatial analytical framework, integrating cost-benefit analysis with spatial accessibility modeling to systematically compare aging-in-place strategies in San Francisco, Tokyo, and Singapore. By synthesizing data on senior care infrastructure and the spatial distribution of active older adults, the research demonstrates that Singaporeβs model achieves significantly higher service accessibility at lower cost. These findings offer a replicable and adaptable urban planning paradigm for age-friendly cities worldwide, highlighting how strategic spatial alignment between demand and resources can enhance the efficiency and equity of aging-in-place initiatives.
π Abstract
Over the past decade, governments around the world have made significant investments in creating elderly-friendly urban environments within local neighborhoods. However, the lack of a standardized evaluation framework for Ageing-in-Place (AIP) practices makes it challenging to generalize these experiences. First, we compare the AIP models of the U.S.- San Francisco, Japan-Tokyo, and Singapore using a cost-benefit analysis, demonstrating the comparative advantage of the Singapore model in terms of low cost and high accessibility for the independent ageing population. Second, we propose a spatial analytics framework to visualize and quantify the degree of alignment between a basket of ageing facilities and the active ageing population, enabling a data-driven, timely evaluation of the effectiveness of Singapore's AIP policies. Singapore's AIP model, either in its entirety or as a hybrid with other models, can be generalized to other global cities, providing valuable insights for optimal elderly-friendly urban planning.