Collaborative CDI-Type II: Cyber Enabled Discovery System for Advanced Multidisciplinary Study of Humanitarian Logistics for Disaster Response

协作 CDI-II 型：用于灾难响应人道主义后勤高级多学科研究的网络支持发现系统

• 批准号: 1124827
• 负责人: Jose Holguin-Veras
• 金额: $ 151.23万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1124827&HistoricalAwards=false
• 关键词: Collaborative; CDI; Type; II; Cyber

This research will develop a cyber-enabled discovery system, integrating state of the art thinking and methodologies from computer, transportation, mathematical, and social sciences, for management of logistics in humanitarian responses to disasters. It will (1) create new paradigms of humanitarian logistic models that explicitly consider two key aspects not studied by the current techniques: non-hysteretic deprivation costs (lack of access to a given good or service), and materiel convergence (physical movement of supplies and equipment); (2) develop appropriate models to represent human suffering as a deprivation cost; (3) develop analytical models to quantify and influence the amount, type, and arrival patterns of donations; (4) gain insight into the links between media framing of needs and materiel convergence; (5) define mechanisms to modify donor behavior; and, (6) develop algorithms and heuristics to solve these formulations. This will lead to models that correctly consider the impacts of logistic decisions on the impacted populations, more effective delivery strategies, more coordinated and effective relief flows, and less congestion at entry points.This research is an ambitious and transformative effort to build a holistic, quantitative understanding of how humanitarian logistics should consider deprivation costs and emergent donor response to disasters. This is based on state of the art economic, logistic, and social science research into the impacts of delivery actions, media portrayal of disaster events, and response needs. The core impact of this research will be improved allocation and delivery of critical supplies during disaster response, as well as better coordination with emergent distributed donor sites, leading to improvement of the nation?s emergency response capabilities. The research team will maximize the broader impacts through: (1) the integration of research into undergraduate and graduate courses; (2) the involvement of undergraduate and graduate students as research assistants; (3) the use of outreach events to communicate research results to undergraduate and high school students and stimulate them into research; (4) the recruitment of women and minority students; and (5) the dissemination of project findings among professionals and researchers with interest in humanitarian logistics and disaster response.

这项研究将开发一个网络发现系统，整合计算机、交通、数学和社会科学的最新思想和方法，用于人道主义救灾中的物流管理。它将(1)创造人道主义后勤模式的新范例，明确考虑当前技术未研究的两个关键方面：非滞后剥夺成本（无法获得特定商品或服务）和物资汇合（物资和设备的实际移动）；(2)建立适当的模型，将人类的痛苦视为剥夺成本；(3)开发分析模型，以量化和影响捐赠的数量、类型和到达模式；(4)深入了解需求的媒体框架与材料趋同之间的联系；(5)明确改变捐赠行为的机制；(6)开发求解这些公式的算法和启发式方法。这将导致正确考虑后勤决策对受影响人口的影响的模型，更有效的交付策略，更协调和有效的救援流动，以及更少的入境点拥堵。这项研究是一项雄心勃勃的变革性努力，旨在全面定量地了解人道主义后勤应如何考虑剥夺成本和紧急捐助者对灾害的反应。这是基于最先进的经济、后勤和社会科学研究，研究交付行动的影响、媒体对灾害事件的描述以及应对需求。这项研究的核心影响将是在灾难应对期间改善关键物资的分配和交付，以及更好地与紧急分布式捐助地点协调，从而改善国家？应急响应能力。研究团队将通过以下方式最大限度地发挥更广泛的影响：(1)将研究融入本科和研究生课程；(2)本科生和研究生作为研究助理的参与；(3)利用外展活动将研究成果传达给本科生和高中生，激励他们进行研究；（四）招收妇女和少数民族学生；(5)在对人道主义后勤和灾害应对感兴趣的专业人士和研究人员中传播项目成果。