Abstract

As Taiwan approaches super-aging by 2025, this study uses the 2022 Ministry of the Interior database combined with geospatial analysis and machine learning to examine solo elderly demographical patterns and assess current "Community Care Stations." Findings: 1. Urban areas have higher aging and solo rates closer to city centers, while rural areas show the opposite pattern; 2. "Dual aging" (elderly and old houses) is common in metropolitan areas; 3. Solo elderly are predomi-nantly urban females, suburban males, often separated, widowed, or divorced, with fewer children or residing in different regions; 4. Both advantaged and dis-advantaged solo elderly are identified in major metropolitan areas, requiring tailored policies for housing and care; 5. The idea "Aging-in-place" highlights disparities in service coverages at "Community Care Stations." A demand-driven optimization strategy was introduced to increase urban density and expand suburban coverage. This research guides policy design for Taiwan's evolving solo elderly population.

Keywords

solo elderly; aging society; spatial distribution; gis

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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Jun 23rd, 9:00 AM Jun 28th, 5:00 PM

Spatial distribution, characterization, and policy opportunities for Taiwan's solo elderly: a big data approach

As Taiwan approaches super-aging by 2025, this study uses the 2022 Ministry of the Interior database combined with geospatial analysis and machine learning to examine solo elderly demographical patterns and assess current "Community Care Stations." Findings: 1. Urban areas have higher aging and solo rates closer to city centers, while rural areas show the opposite pattern; 2. "Dual aging" (elderly and old houses) is common in metropolitan areas; 3. Solo elderly are predomi-nantly urban females, suburban males, often separated, widowed, or divorced, with fewer children or residing in different regions; 4. Both advantaged and dis-advantaged solo elderly are identified in major metropolitan areas, requiring tailored policies for housing and care; 5. The idea "Aging-in-place" highlights disparities in service coverages at "Community Care Stations." A demand-driven optimization strategy was introduced to increase urban density and expand suburban coverage. This research guides policy design for Taiwan's evolving solo elderly population.

 

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