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Comprehensive evaluation of global health cities development levels
Frontiers in Public Health
|August 2, 2024
Summary
This study assessed 15 global cities using the Healthy Cities Index, finding significant disparities in urban health development. Key factors include transport and recreation, with recommendations for policy and planning to promote balanced growth.
Area of Science:
- Urban planning and public health
- Environmental science and sustainability
- Geographic information systems and spatial analysis
Background:
- Assessing urban health status for policy formulation is a significant global challenge.
- Developing a framework for evaluating healthy city development is crucial for global health initiatives.
Purpose of the Study:
- To scientifically assess the health status of global cities using a comprehensive index.
- To identify key indicators and environmental categories influencing healthy city development.
- To rank and categorize the health development levels of fifteen global cities.
Main Methods:
- Employed the Building Research Establishment's International Healthy Cities Index (BRE HCI) with 10 environmental categories and 58 indicators.
- Utilized the entropy weight-TOPSIS and rank sum ratio (RSR) methods for comprehensive ranking.
- Applied cluster analysis to identify universal and unique influencing indicators.
Main Results:
- Kilometers of bicycle paths and public indoor recreation space per capita were highly weighted indicators.
- Transport, leisure and recreation, and resilience were the top-weighted environmental categories.
- Cities were categorized into excellent (Singapore, Shanghai, Amsterdam), moderate, and poor (Dubai, Johannesburg) development levels, with significant disparities noted.
Conclusions:
- Proposed recommendations include strengthening policy assurance, refining urban planning, enhancing multi-party participation, and augmenting distinctive health indicators.
- These strategies aim to reduce developmental disparities and foster balanced, sustainable growth in global cities.
- Further research is needed to address limitations in sample selection, methodology, and confounding variables.
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