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RIPS Type 1: The Interdependence of Built, Social and Information Infrastructures for Community Resilience: A Participatory Process

RIPS Type 1: The Interdependence of Built, Social and Information Infrastructures for Community Resilience: A Participatory Process
RIPS 类型 1:社区复原力的已建社会和信息基础设施的相互依赖性:参与过程
批准号:
1441263
负责人:
Abbie Liel
金额:
$29.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-10-01 至 2016-09-30

项目摘要

项目成果

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中文摘要
翻译
该项目支持基础研究,探索和创建协作过程,以促进社区恢复力。目前表征弹性的方法是基于工程的,并预测面对急性和/或慢性压力源时可能出现的基础设施损坏。当弹性被更广泛地重新定义为建筑、社会和信息基础设施之间的相互依赖时,基础设施损害的工程和统计模型将受益于一种有效、包容和公平的适应性和参与性方法。假设参与式模型构建过程导致社区所有权、社会学习和能力建设,所有这些都有助于恢复力。在本研究的一年时间框架内,使用2013年科罗拉多州博尔德洪水事件的案例研究开发了一个框架。博尔德案例用于探索和测试建模和参与过程,以产生可以转移到其他社区的新理解。该项目为团队建设和跨学科专业知识的正式合作提供了一个平台,同时培训了一批学者、学生和实践者,他们可以在跨学科和研究与实践之间架起桥梁,创造可用的科学和模型,以促进复原力。本研究开发了概念框架和方法方法,将物理过程和参与性过程结合起来,用于设计、建模和评估弹性社区。该研究探索并测试了社区利益相关者参与并为模型开发做出贡献的创新、包容和适应性过程。与此同时,团队开发并试验了基于相互依赖的建筑基础设施的先进预测工程模型。现场和参与式实证研究与设计,结合新形式的数字参与,产生了对包容性开发和交付预测模型的新理解。将基于物理的模型开发与参与性行动研究结合起来,使利益相关者参与进来,有助于在更大、更现实、更包容的背景下开发相互依存基础设施的预测模型。
英文摘要
This project supports foundational research that explores and creates collaborative processes to foster community resilience. Current approaches that characterize resilience are engineering-based and predict possible infrastructure damage in the face of acute and/or chronic stressors. When resilience is more broadly reframed as the interdependence between the built, social, and information infrastructures, engineering and statistical models of infrastructure damage benefit from an adaptive and participatory approach that is effective, inclusive, and fair. It is hypothesized that participatory processes of model-building lead to community ownership, social learning, and capacity building, all of which contribute to resilience. Within the one-year time frame of this study, a framework is developed using the case study of 2013 flooding events in Boulder, Colorado. The Boulder case is used to explore and test the modeling and participatory processes, to generate a new understanding that can be transferred to other communities. The project provides a platform for team-building and formalized collaboration of cross-disciplinary expertise, while training a cohort of scholars, students and practitioners, who can bridge across disciplines and between research and practice to create usable science and models to foster resilience.This research develops the conceptual framework and methodological approaches to marry physical and participatory processes for designing, modeling, and evaluating resilient communities. The study explores and test innovative, inclusive, and adaptive processes through which community stakeholders engage in and contribute to model development. At the same time, advanced predictive engineering-based models of interdependent built infrastructures are developed and piloted by the team. In-situ and participatory empirical research and design, combined with new forms of digital participation, generate a new understanding of inclusive development and delivery of predictive models. The novel integration of physically-grounded model development with participatory action research that engages stakeholders helps the development of predictive models of interdependent infrastructures in a larger, more realistic, and inclusive context.
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