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Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems

机译:复杂城市系统中面向数据的应急管理/规划案例研究

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To reduce the losses caused by natural disasters such as hurricanes, it is necessary to build effective and efficient emergency management/planning systems for cities. With increases in volume, variety and acquisition rate of urban data, major opportunities exist to implement data-oriented emergency management/planning. New York/New Jersey metropolitan area is selected as the study area. Large datasets related to emergency management/planning including, traffic operations, incidents, geographical and socio-economic characteristics, and evacuee behavior are collected from various sources. Five related case studies conducted using these unique datasets are summarized to present a comprehensive overview on how to use big urban data to obtain innovative solutions for emergency management and planning, in the context of complex urban systems. Useful insights are obtained from data for essential tasks of emergency management and planning such as evacuation demand estimation, determination of evacuation zones, evacuation planning and resilience assessment.
机译:为了减少飓风等自然灾害造成的损失,有必要建立有效,高效的城市应急管理/计划系统。随着城市数据量,种类和获取率的增加,存在着实施面向数据的应急管理/规划的主要机会。纽约/新泽西州都会区被选为学习区域。从各种来源收集了与应急管理/计划有关的大型数据集,包括交通运营,事件,地理和社会经济特征以及撤离人员的行为。总结了使用这些独特的数据集进行的五个相关案例研究,以全面概述如何在复杂的城市系统的背景下,如何使用大城市数据获得应急管理和规划的创新解决方案。从紧急管理和计划的基本任务的数据中可以获得有用的见解,例如疏散需求估算,疏散区域的确定,疏散计划和复原力评估。

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