在香港高密度城市环境中,使用谷歌地图众包数据库对城市公园的步行可达性进行建模
1School of Public Administration and Policy, Renmin University of China, Beijing, China. fangying.gong@ruc.edu.cn.
Scientific reports
|November 27, 2023
概括
这项研究使用谷歌地图数据和公园吸引力来模拟香港城市公园的可访问性. 它揭示了明确的吸引力措施和步行时间对于准确的城市公园规划和公共卫生至关重要.
科学领域:
- 城市规划 城市规划
- 公共卫生 公共卫生
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 城市公园的可访问性对体力活动和公共健康至关重要.
- 在像香港这样密集的城市环境中建模可访问性,带来了独特的挑战.
- 现有的模型可能无法完全捕捉到公园入口的细微差别.
研究的目的:
- 开发一个改进的城市公园在香港的可访问性模型.
- 调查公园吸引力和步行时间对可访问性的影响.
- 为了将几何距离与路线距离进行比较,用于可访问性建模.
主要方法:
- 使用了谷歌地图众包数据.
- 纳入公园吸引力作为可访问性建模的关键因素.
- 基于几何距离,路线距离和步行时间的可访问性估计的比较.
主要成果:
- 路线和几何距离显示出强烈的相关性 (约. 1.5 转换因子).
- 公园的大小是吸引力的不可靠的代理;明确的措施是优越的.
- 步行时间揭示了街道状况和交通对公园可访问性的重大影响.
结论:
- 开发的模型为城市公园的可访问性提供了灵活和信息化的方法.
- 明确考虑公园的吸引力和步行时间可以提高可访问性建模.
- 这些发现支持城市规划者,卫生专业人员和政策制定者改善公园规划和公平.
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