Gong Fang-Ying
School of Public Administration and Policy, Renmin University of China, Beijing, China.
School of Architecture, The Chinese University of Hong Kong, Hong Kong, China.
Sci Rep. 2023 Nov 27;13(1):20798. doi: 10.1038/s41598-023-48340-w.
Accessing urban parks is important for promoting physical activities and improving public health. In this study, we propose the use of Google Maps crowdsourcing data and the incorporation of park attractiveness to model urban park accessibility in the complex urban environments of Hong Kong. The difference between using geometric and route distance, the effect of park attractiveness in measuring accessibility, and the benefits gained from using walk time compared to distance are investigated. Our result shows that (1) route and geometric distances have a strong correlation with a conversion factor of about 1.5; (2) the common assumption that park size can be a proxy for describing attractiveness may not be correct. Instead, park attractiveness should be explicitly considered for a more effective accessibility modeling; and (3) estimation by walking time shows that there are non-negligible impacts from street conditions and traffic on urban park accessibility. Moreover, district hotspots short of park accessibility or attractiveness can be explicitly detected. Overall, this developed approach provides a flexible and informative approach to model the accessibility to urban parks. The outputs will help city planners, health professionals, and policymakers to evaluate and improve urban park planning and equity in accessibility in high-density cities.
进入城市公园对于促进体育活动和改善公众健康至关重要。在本研究中，我们建议使用谷歌地图众包数据并纳入公园吸引力，以模拟香港复杂城市环境中的城市公园可达性。研究了使用几何距离和路线距离之间的差异、公园吸引力在衡量可达性方面的影响以及与距离相比使用步行时间所获得的益处。我们的结果表明：（1）路线距离和几何距离具有很强的相关性，转换因子约为1.5；（2）认为公园规模可作为描述吸引力的替代指标这一常见假设可能不正确。相反，为了进行更有效的可达性建模，应明确考虑公园吸引力；（3）通过步行时间进行的估计表明，街道条件和交通对城市公园可达性有不可忽视的影响。此外，可以明确检测到公园可达性或吸引力不足的地区热点。总体而言，这种开发方法为模拟城市公园可达性提供了一种灵活且信息丰富的方法。其结果将有助于城市规划者、健康专业人员和政策制定者评估和改善高密度城市中的城市公园规划及可达性公平性。
