Department of Public Health, Agnes Scott College, 141 E. College Avenue, Decatur, GA 30030, USA.
Department of Sociology, University of Central Florida, 4000 Central Florida Blvd., Phillips Hall, Room 403-P, Orlando, FL 32816, USA.
Int J Environ Res Public Health. 2018 Apr 22;15(4):825. doi: 10.3390/ijerph15040825.
We utilized a participatory mapping approach to collect point locations, photographs, and descriptive data about select built environment stressors identified and prioritized by community residents living in the Proctor Creek Watershed, a degraded, urban watershed in Northwest Atlanta, Georgia. Residents (watershed researchers) used an indicator identification framework to select three watershed stressors that influence urban livability: standing water, illegal dumping on land and in surface water, and faulty stormwater infrastructure. Through a community⁻university partnership and using Geographic Information Systems and digital mapping tools, watershed researchers and university students designed a mobile application (app) that enabled them to collect data associated with these stressors to create a spatial narrative, informed by local community knowledge, that offers visual documentation and representation of community conditions that negatively influence the environment, health, and quality of life in urban areas. By elevating the local knowledge and lived experience of community residents and codeveloping a relevant data collection tool, community residents generated fine-grained, street-level, actionable data. This process helped to fill gaps in publicly available datasets about environmental hazards in their watershed and helped residents initiate solution-oriented dialogue with government officials to address problem areas. We demonstrate that community-based knowledge can contribute to and extend scientific inquiry, as well as help communities to advance environmental justice and leverage opportunities for remediation and policy change.
我们采用参与式制图方法来收集点位置、照片和描述性数据,这些数据是由居住在乔治亚州亚特兰大市西北部退化的城市流域普罗克特溪流域的社区居民确定和优先考虑的特定建筑环境压力源。居民(流域研究人员)使用指标识别框架选择了三个影响城市宜居性的流域压力源:积水、陆地和地表水非法倾倒以及故障雨水基础设施。通过社区-大学合作伙伴关系,并利用地理信息系统和数字制图工具,流域研究人员和大学生设计了一个移动应用程序(app),使他们能够收集与这些压力源相关的数据,以创建一个空间叙述,由当地社区知识提供信息,提供对环境、健康和城市地区生活质量产生负面影响的社区条件的视觉文档和表示。通过提升社区居民的本地知识和生活经验,并共同开发相关的数据收集工具,社区居民生成了精细的、街道级的、可操作的数据。这一过程有助于填补其流域内环境危害公共数据集的空白,并帮助居民与政府官员展开以解决问题为导向的对话。我们证明,基于社区的知识可以促进和扩展科学研究,帮助社区推进环境正义,并利用补救和政策变革的机会。