Collaborative Research: CyberSEES: Type 2: A New Framework for Crowd-Sourced Green Infrastructure Design

该项目开发了一个新的计算绿色基础设施(GI)设计框架，将多个利益相关者的互动、社区规模、协作设计(“众包”设计)与生态系统和人类影响的多尺度模型相结合。正在解决以下研究问题：(1)现场规模的生态水文学与流域规模的水力路线的结合如何改善预测？(2)利用设计图像特征提取和机器学习来预测利益相关者的偏好有多好？(3)什么样的交互优化和可视化技术能够在不同的利益相关者中最快速和最完整地达成共识？(4)使用交互式网络基础设施工具的利益相关者是否考虑了更多的选择，并探索了更多的地理信息设计空间？开发了一个“众包”设计框架，使利益相关者能够互动地创建和评估潜在的地理信息设计，这些设计反映了社会、经济和环境标准的全面考虑。在巴尔的摩生态系统研究中，这些研究问题在三个城市集水区内的不同社区进行了评估，并与环境非政府组织密切合作，以确保结果将为社区利益相关者提供重大好处。该项目开发的模型是第一个将人类和生态系统福祉的标准与场地和流域尺度的水文过程相结合的模型，这是提高对地理信息系统设计的理解和实施的关键进展。地图和图像可视化确定了哪些可视化方法最能支持使用交互式协作设计提高利益相关者参与度以达成共识。这使得从监管者和规划者到承包商和房主等广泛的利益攸关方都可以获得交互优化和模型参数化方面的技术进步。

This project develops a novel computational Green Infrastructure (GI) design framework that integrates interactive, neighborhood-scale, collaborative design by multiple stakeholders ("crowd-sourced" design) with multi-scale models of ecosystem and human impacts. The following research questions are being addressed: (1) How well does coupling of site-scale ecohydrology with catchment-scale hydraulic routing improve predictions? (2) How well can stakeholder preferences be predicted using design image feature extraction and machine learning? (3) What interactive optimization and visualization techniques lead to the most rapid and complete consensus among diverse stakeholders? (4) Do stakeholders using interactive cyberinfrastructure tools consider more options and explore more of the GI design space?A "crowd-sourced" design framework is developed to enable stakeholders to interactively create and evaluate potential GI designs that reflect consideration of the full breadth of social, economic, and environmental criteria. The research questions are evaluated in diverse neighborhoods within three urban catchments in the Baltimore Ecosystem Study, working closely with environmental non-governmental organizations to ensure that the results will provide significant benefits to community stakeholders. The models developed in this project are the first to integrate criteria for human and ecosystem wellbeing with site- and watershed-scale hydrologic processes, a key advance for improving understanding and implementation of GI design. Map and image visualization identifies which visualization approaches best support improving stakeholder engagement for achieving consensus using interactive collaborative design. This makes technical advances in interactive optimization and model parameterization accessible to the broad range of stakeholders, from regulators and planners to contractors and homeowners.