Spatial Difference of Transit-Based Accessibility to Hospitals by Regions Using Spatially Adjusted ANOVA

Area of Science:

• Spatial analysis
• Public health
• Healthcare accessibility

Background:

• Evaluating transit-based hospital accessibility is crucial for equitable healthcare.
• Traditional methods may not adequately account for spatial dependencies.

Purpose of the Study:

• To propose a spatially adjusted ANOVA method for analyzing transit-based hospital accessibility.
• To examine spatial variations in hospital accessibility across different administrative levels.

Main Methods:

• Spatially adjusted ANOVA using a spatial lag model.
• Multiple comparison tests for inter-regional differences.
• Accessibility calculation using simple and gravity models.

Main Results:

• The spatially adjusted method proved more reliable than traditional ANOVA.
• The gravity model identified more hidden information on unequal medical resource distribution.
• Lower accessibility subdistricts were concentrated in Hongshan and Qingshan districts.

Conclusions:

• The proposed method enhances spatial difference analysis for accessibility.
• Findings provide policy recommendations for equitable public health service provision.