Collaborative Research: Using Cell Phone Data to Analyze the Continuum and Life Cycle of Disaster in Spatio-Temporal Movements

灾害造成社会混乱。 因此，日常生活发生了巨大变化。 社会混乱的程度反映了一个事件是一场灾难的程度。 捕捉社会破坏量的一种方法是通过使用手机数据。 正常的日常手机使用将与灾难和灾后使用进行比较。因此，可以解释灾难造成了多大的社会混乱。 此外，一个区域返回“正常”的过程和速度（即，灾前模式）”。 最近发生了两起不同的灾难（例如，范围的面积，发病速度），将被选为这项研究。这个项目？的独特方法使用了土木工程师，社会学家和计算机科学家的专业知识。 数学，计算机科学和旅行行为研究将结合起来，以了解灾害。 这个项目将改善我们如何理解社会破坏是一场灾难。 它还将显示如何间接措施可以用来研究这些事件。 同时，它也将为使用其他措施来捕捉“社会破坏”的想法奠定基础。“这个项目还将建议应急管理人员可以使用这些类型的数据来提高他们的应急管理能力。

Disasters create social disruption. As a result, everyday lives change severely. The amount of social disruption reflects the degree an event is a disaster. One way to capture the amount of social disruption is through the use of cell phone data. Normal, everyday cell phone use will be compared to disaster and post disaster use. As a result, it may be explained how much social disruption occurs from the disaster. Also, the process and speed an area returns to "normal (i.e., the pre-disaster patterns)" may be seen. Two recent, but different disasters (e.g., scope of area, speed of onset), will be selected for this study.This project?s unique approach uses the expertise of a civil engineer, sociologist, and a computer scientist. Math, computer science and travel behavior research will be combined to understand disasters. This project will improve how we understand social disruption as a disaster. It will also show how indirect measures can be used to study these events. Also, it will lay the foundation for using other measures to capture the idea of "social disruption." This project will also suggest that emergency managers can use these types of data to improve their emergency management capabilities.