CRISP Type 2/Collaborative Research: Coordinated, Behaviorally-Aware Recovery for Transportation and Power Disruptions (CBAR-tpd)

CRISP 类型 2/合作研究：针对交通和电力中断的协调、行为感知恢复 (CBAR-tpd)

• 批准号: 1638207
• 负责人: Pamela Murray-Tuite
• 金额: $ 87.69万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638207&HistoricalAwards=false
• 关键词: CRISP; Type; Collaborative; Research; Coordinated

This project will develop an approach for coordinated restoration of infrastructure services following disruptive events in interdependent power and transportation systems. This approach accommodates behavior adaptation in the recovery of physical aspects of infrastructure. This adaptation is not well understood or integrated with current restoration plans. By better understanding adaptive behaviors and their dependence on different infrastructures and coordinating recovery across these infrastructures, such a framework can help households return to productive activities faster. For instance, if employees cannot commute, they may work remotely if power is available. This approach to infrastructure restoration has the potential to substantially improve the efficiency of post-disaster return to productive daily life. If infrastructure recovery is coordinated and focuses on actual needs, restoration also may be more cost effective. To help realize these benefits, the project's team of civil engineers, social scientists, and computer scientists will convey research results through practitioner-oriented seminars held with FEMA, state emergency management agencies, transportation authorities, and electric power utilities. The multi-disciplinary approach and outreach activities developed for Virginia Tech's Center for the Enhancement of Engineering Diversity and the University of Michigan's Detroit-Area Pre-College Engineering Program will help broaden the research participation of underrepresented groups and attract new students to the respective fields. Technically, the project's objectives include: developing improved methods for collecting, analyzing, and archiving tweets and webpages - integrated with data collected from official or specialized sources - in support of understanding the interplay of behavior and power and transportation infrastructures in disruptions; collecting novel data with activity diaries that incorporate adaptation and use of technologies; determining how the nature of information about infrastructure disruptions and the way in which individuals process this information shape responses to disruptions and preferred tradeoffs; identifying how these behavior adaptations induce or magnify substitutive interdependencies between transportation and power systems; and developing recovery strategies that coordinate among the infrastructures and account for adaptation. To achieve these objectives, the study will use social media, official utility and transport information, and activity panel surveys to develop behavioral and infrastructure outage models that feed a coordinated, behaviorally-aware power and transport recovery model using optimization and agent based modeling. The project team's approach specifically examines the adaptation of individuals who pursue alternate means to accomplish an activity goal and the interdependence between power and transportation infrastructure that results from this adaptation during disruptions. This approach is applied to a case study in a metropolitan area.

该项目将制定一种办法，在相互依存的电力和运输系统发生破坏性事件后，协调恢复基础设施服务。这种方法在恢复基础设施的物理方面提供了行为适应。这一适应性调整没有得到很好的理解，也没有与目前的恢复计划相结合。通过更好地了解适应行为及其对不同基础设施的依赖，并协调这些基础设施的恢复，这样一个框架可以帮助家庭更快地恢复生产活动。例如，如果员工不能上下班，他们可以在电力可用的情况下远程工作。这种恢复基础设施的办法有可能大大提高灾后恢复生产性日常生活的效率。如果基础设施恢复得到协调并专注于实际需求，恢复也可能更具成本效益。为了帮助实现这些好处，该项目的土木工程师，社会科学家和计算机科学家团队将通过与联邦应急管理局，州应急管理机构，交通管理局和电力公司举行的以建筑师为导向的研讨会来传达研究成果。 为弗吉尼亚理工大学工程多样性增强中心和密歇根大学底特律地区大学预科工程项目开发的多学科方法和外联活动将有助于扩大代表性不足的群体的研究参与，并吸引新学生到各自的领域。 从技术上讲，该项目的目标包括：开发更好的方法来收集、分析和存档推文和网页-与从官方或专门来源收集的数据相结合-以支持理解行为与电力和交通基础设施在中断中的相互作用;收集新的数据，包括适应和使用技术的活动日记;确定有关基础设施中断的信息的性质以及个人处理这些信息的方式如何塑造对中断的反应和偏好的权衡;确定这些行为适应如何诱导或放大运输和电力系统之间的替代性相互依赖关系;制定恢复战略，协调基础设施并考虑到适应问题。为了实现这些目标，该研究将使用社交媒体，官方公用事业和运输信息以及活动小组调查来开发行为和基础设施停电模型，这些模型使用优化和基于代理的建模来提供协调的，行为感知的电力和运输恢复模型。项目团队的方法专门研究了寻求替代手段来实现活动目标的个人的适应性，以及在中断期间这种适应所导致的电力和交通基础设施之间的相互依赖性。这种方法适用于一个大都市地区的案例研究。

项目成果

US State Tourism Websites

美国各州旅游网站

• 发表时间: 2020
• 期刊: and Information Access
• 作者: Shere, Danya;Ayub, Ahmad;Mueller, Rebecca;Fabian, Lexi;Shah, Akshat;Fox, Edward A.
• 通讯作者: Fox, Edward A.

Twitter-Based Knowledge Graph for Researchers

为研究人员提供基于 Twitter 的知识图谱

• 发表时间: 2020
• 期刊: Virginia tech
• 作者: Vincent, Kyle;Meno, Emma
• 通讯作者: Meno, Emma

Integration and Implementation (INT) CS 5604 F2020

集成和实施 (INT) CS 5604 F2020

• 发表时间: 2020
• 期刊: Information storage and retrieval
• 作者: Hicks, Alexander;Thazhath, Mohit;Gupta, Suraj;Long, Xingyu;Poland, Cherie;Hsieh, Hsinhan;Mahajan, Yash;Chandrasekar, Prashant;Fox, Edward A.
• 通讯作者: Fox, Edward A.

Hurricane Irma: Multiple Avenues of Study.

飓风艾尔玛：多种研究途径。

• 发表时间: 2020
• 期刊: Proceedings of the International ISCRAM Conference
• 作者: Chandrasekar, Prashant;Wernstedt, Kris;Fox, Edward A.;Murray-Tuite, Pamela
• 通讯作者: Murray-Tuite, Pamela

CS 5604 2020: Information Storage and Retrieval TWT - Tweet Collection Management Team

CS 5604 2020：信息存储和检索 TWT - 推文收集管理团队

• 发表时间: 2020
• 期刊: Information storage and retrieval
• 作者: Baadkar, Hitesh;Chimote, Pranav;Hicks, Megan;Juneja, Ikjot;Kusuma, Manisha;Mehta, Ujjval;Patil, Akash;Sharma, Irith;Wang, Xinyue;Fox, Edward A.
• 通讯作者: Fox, Edward A.