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

灾难会造成社会混乱。因此，日常生活发生了巨大的变化。社会混乱的程度反映了一个事件是一场灾难的程度。捕捉社会混乱程度的一种方法是使用手机数据。正常的日常手机使用将与灾难和灾后使用进行比较。因此，可以解释这场灾难造成了多大的社会混乱。此外，还可以看到一个地区恢复到“正常(即，灾难前的模式)”的过程和速度。最近发生的两次不同的灾害(例如，区域范围、发生速度)将被选为本研究的对象。这个项目？S独特的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理解灾难。这个项目将改善我们对社会破坏是一场灾难的理解。它还将展示如何使用间接措施来研究这些事件。此外，它还将为使用其他措施捕捉“社会混乱”的概念奠定基础。该项目还将建议应急管理者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.