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EAGER: SSDIM: Data Simulation to Support Interdependence Modeling in Emergency Response and Multimodal Transportation Networks

EAGER：SSDIM：支持应急响应和多式联运网络中相互依赖建模的数据模拟

基本信息

批准号：
1745353
负责人：
Haitao Liao
金额：
$ 20万
依托单位：
University of Arkansas
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：
2017-09-01 至 2020-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745353&HistoricalAwards=false
关键词：
EAGER SSDIM Data Simulation Support

项目摘要

Access to data on the design and operation of interdependent critical infrastructures (ICIs) is now recognized as essential for developing new data analytic, design and decision-support tools. This EArly-concept Grant for Exploratory Research (EAGER) project will create and make available synthetic and simulated data on ICIs by developing new data creation techniques and model-based approaches to simulating data on ICIs and human cognition and/or behavior with ICIs. It will provide research communities in broad areas, such as multimodal transportation, emergency services, wildfire and infectious disease, with tools for modeling complex ICIs involving human activities and decisions. Seminars on these tools will be offered to state and local transportation officials to assist these stakeholders in designing, analyzing and improving multimodal transportation systems against disruptions and failures. The new knowledge will be broadly disseminated through journals and conferences in the areas of infrastructure risk management, applied statistics, reliability engineering, and spatiotemporal computation. Moreover, the PIs with track records will promote interdisciplinary education, recruit underrepresented students for maintaining workforce diversity, and expose K-12 teachers and students to cutting-edge research experiences.This project investigates a methodology for topology and data generation for ICIs. The research will (1) create a two-layer framework that integrates heterogeneous data to model the complex topology of ICIs and vice versa; (2) simulate data for targeted ICIs and make the data publicly available for evaluating and improving the preparedness for emergency events; and (3) demonstrate the feasibility of using the framework and data to determine the viable options of emergency services for resilience improvement of ICIs. To ensure that the proposed two-layer framework is well rooted in engineering practice, the project will focus on three ICIs identified by the Department of Homeland Security, including inland waterways (ports, dams and locks along major waterways), ground transportation systems that are connected or close to the inland waterways, and emergency services.

获得关于相互依存的关键基础设施(ICIS)设计和运行的数据现在被认为是开发新的数据分析、设计和决策支持工具的关键。这一早期概念探索性研究补助金项目将通过开发新的数据创建技术和基于模型的方法来模拟ICIS和人类对ICIS的认知和/或行为的数据，从而创建和提供关于ICIS的合成和模拟数据。它将为多式联运、紧急服务、野火和传染病等广泛领域的研究社区提供工具，用于对涉及人类活动和决策的复杂ICIS进行建模。将向州和地方交通官员举办关于这些工具的研讨会，以协助这些利益攸关方设计、分析和改进多式联运系统，以应对中断和故障。这些新知识将通过基础设施风险管理、应用统计学、可靠性工程和时空计算等领域的期刊和会议广泛传播。此外，有记录的个人投资促进跨学科教育，招收代表不足的学生以保持劳动力多样性，并让K-12教师和学生接触尖端研究经验。这个项目调查了ICIS的拓扑和数据生成方法。这项研究将(1)创建一个集成了异质数据的两层框架来模拟ICIS的复杂拓扑结构，反之亦然；(2)模拟目标ICIS的数据，并将这些数据公开，以评估和改进对紧急事件的准备；以及(3)论证利用该框架和数据来确定ICIS提高抗灾能力的应急服务可行方案的可行性。为了确保拟议的两层框架扎根于工程实践，该项目将侧重于国土安全部确定的三个ICIS，包括内河航道(主要航道沿线的港口、大坝和船闸)、连接或靠近内河航道的地面运输系统以及紧急服务。