计算对公园和其他多边形资源的访问:对开源方法的描述
Keith R Spangler1, Paige Brochu1, Amruta Nori-Sarma1
1Boston University School of Public Health, Department of Environmental Health, Boston, MA; Boston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA.
Spatial and spatio-temporal epidemiology
|December 2, 2023
概括
研究人员现在可以使用街道网络和开源工具准确地测量绿色空间的访问. 这通过考虑公园入口和旅行方式来改善公共卫生研究,提供了一个全球性的解决方案.
科学领域:
- 环境健康 环境健康
- 地理信息系统 (GIS) 是指地理信息系统.
- 公共卫生研究 公共卫生研究
背景情况:
- 传统的绿地访问研究通常使用简化的距离指标来确定公园中心或周边.
- 这些方法忽略了关键细节,如公园入口和实际旅行路线,导致不准确的暴露评估.
- 准确的绿色空间访问测量对于了解其对公共卫生结果的影响至关重要.
研究的目的:
- 引入和展示开源方法来计算更准确的,基于网络的绿色空间访问.
- 为研究人员提供关于使用OpenRouteService和QGIS等工具进行增强空间分析的实用指导.
- 为了能够更精确地研究绿色空间的近距离与健康之间的关系.
主要方法:
- 计算基于街道网络的服务区域 (缓冲区),以表示可步行或可驾驶进入公园的途径.
- 使用OpenRouteService进行网络分析,使用QGIS进行地理空间数据处理.
- 实施使用OpenStreetMap数据的先进方法来识别公园入口 (步道头,停车场) 以进行精确的访问测量.
主要成果:
- 证明了生成准确的,基于网络的绿色空间访问措施的可行性.
- 展示了如何考虑街道网络和入口,与简单的中心点或周边方法相比,显著改进了访问计算.
- 强调了基于入口的方法在评估进入大型公园的特殊好处.
结论:
- 开源工具和网络分析提供了一个强大的,可访问的方法,以改善公共卫生中的绿色空间访问测量.
- 这些精细的方法提高了暴露评估的准确性,从而导致更可靠的研究结果.
- 描述的技术是全球适用的,可以整合到各种研究检查资源可访问性和健康.
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