照亮更公平地进入城市公园的道路
Kaihan Zhang1,2, Wen-Long Shang3, Jonas De Vos1
1Bartlett School of Planning, University College London, London, UK.
Scientific reports
|March 21, 2025
概括
城市公园的可访问性不均,特别是步行. 地理空间人工智能 (GeoAI) 揭示了街道景观的品质,如绿色和安全性,显著改善了所有模式的公园访问和旅行公平.
科学领域:
- 城市规划是城市规划.
- 地理空间的人工智能 (GeoAI)
- 环境心理学环境心理学
背景情况:
- 公园是重要的城市设施.
- 公平的公园接入对于公共政策和旅行公平至关重要.
- 了解建筑环境对公园可访问性的影响至关重要.
研究的目的:
- 通过使用GeoAI,检查建筑环境对城市公园可访问性的影响.
- 为了在各种旅行方式中区分可访问性.
- 为了确定特定的街景品质,以提高公园的访问.
主要方法:
- 使用了地理空间人工智能 (GeoAI) 方法.
- 在宏观和微观层面分析了公园的可访问性.
- 相关的街景质量与跨多式联运旅行的公园可访问性.
主要成果:
- 根据旅行方式,公园的可访问性有很大差异,步行是最不公平的.
- 宏观层面的建筑环境因素解释了许多可访问性的因素.
- 微层次的GeoAI分析确定了街道网络,安全,开放性,绿色和标牌作为提高可访问性的关键因素.
结论:
- GeoAI为公园访问提供了对人类对建筑环境感知的细微理解.
- 专注于多式联运和街道改善可以提高旅行公平性.
- 调查结果为决策者提供了具有成本效益的战略,以改善城市公园的可访问性.
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