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: University of Colorado at Boulder
• 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
• 起止时间: 2014-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1441263&HistoricalAwards=false
• 关键词: RIPS; Type; Interdependence; Built; Social

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.

该项目支持探索和创建协作过程以培养社区复原力的基础研究。目前表征复原力的方法是基于工程的，并预测在面对急性和/或慢性应激源时可能造成的基础设施损害。当复原力被更广泛地重新定义为已建基础设施、社会基础设施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有效、包容和公平的适应性和参与性方法。假设模式建设的参与性进程会导致社区自主、社会学习和能力建设，所有这些都有助于提高复原力。在这项研究的一年时间框架内，利用科罗拉多州博尔德市2013年洪水事件的案例研究制定了一个框架。博尔德案例被用来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协作提供了一个平台，同时培训了一批学者、学生和实践者，他们可以跨越学科，在研究和实践之间架起桥梁，创建有用的科学和模型来促进复原力。本研究开发了概念框架和方法，将物理和参与性过程结合起来，用于设计、建模和评估复原力社区。这项研究探索和测试创新、包容和适应性的过程，社区利益相关者通过这些过程参与模型开发并为其做出贡献。与此同时，该团队开发并试行了相互依赖的已建成基础设施的基于高级预测工程的模型。现场和参与性的实证研究和设计，结合数字参与的新形式，对包容性发展和提供预测模型产生了新的理解。以实际为基础的模型开发与参与性行动研究的新颖结合，使利益攸关方参与进来，有助于在更大、更现实和更具包容性的背景下开发相互依存的基础设施的预测模型。