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HGBEnviroScreen:通过在休斯敦-加尔维斯顿-布拉佐里亚地区的数据集成推动社区行动。

HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston-Galveston-Brazoria Region.

机构信息

Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77845, USA.

Environmental Defense Fund, 301 Congress Ave #1300, Austin, TX 78701, USA.

出版信息

Int J Environ Res Public Health. 2020 Feb 11;17(4):1130. doi: 10.3390/ijerph17041130.

Abstract

The Houston-Galveston-Brazoria (HGB) region faces numerous environmental and public health challenges from both natural disasters and industrial activity, but the historically disadvantaged communities most often impacted by such risks have limited ability to access and utilize big data for advocacy efforts. We developed HGBEnviroScreen to identify and prioritize regions of heightened vulnerability, in part to assist communities in understanding risk factors and developing environmental justice action plans. While similar in objectives to existing environmental justice tools, HGBEnviroScreen is unique in its ability to integrate and visualize national and local data to address regional concerns. For the 1090 census tracts in the HGB region, we accrued data into five domains: (i) social vulnerability, (ii) baseline health, (iii) environmental exposures and risks, (iv) environmental sources, and (v) flooding. We then integrated and visualized these data using the Toxicological Prioritization Index (ToxPi). We found that the highest vulnerability census tracts have multifactorial risk factors, with common drivers being flooding, social vulnerability, and proximity to environmental sources. Thus, HGBEnviroScreen is not only helping identify communities of greatest overall vulnerability but is also providing insights into which domains would most benefit from improved planning, policy, and action in order to reduce future vulnerability.

摘要

休斯顿-加尔维斯顿-布拉索里亚(HGB)地区面临着许多环境和公共卫生方面的挑战,既有自然灾害,也有工业活动,但历史上处于不利地位的社区往往最容易受到这些风险的影响,而他们获取和利用大数据来进行宣传工作的能力有限。我们开发了 HGBEnviroScreen,以识别和优先考虑脆弱性较高的地区,部分原因是为了帮助社区了解风险因素并制定环境正义行动计划。虽然 HGBEnviroScreen 的目标与现有的环境正义工具类似,但它具有独特的能力,可以整合和可视化国家和地方数据,以解决区域问题。对于 HGB 地区的 1090 个普查区,我们将数据归入五个领域:(i)社会脆弱性,(ii)基线健康,(iii)环境暴露和风险,(iv)环境来源,(v)洪水。然后,我们使用毒理学优先级指数(ToxPi)对这些数据进行整合和可视化。我们发现,脆弱性最高的普查区存在多因素风险因素,常见的驱动因素是洪水、社会脆弱性和接近环境来源。因此,HGBEnviroScreen 不仅有助于识别总体脆弱性最大的社区,还深入了解了哪些领域最需要改进规划、政策和行动,以减少未来的脆弱性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8352/7068489/cdb290bff635/ijerph-17-01130-g001.jpg

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