A data-driven impact evaluation of Hurricane Harvey from mobile phone data

Abstract

This paper aims at presenting a detailed analysis of the impact of Hurricane Harvey on residents in South Texas using mobile phone data. The analysis performed demonstrates that accurate measurements of population displacements could be available in almost real-time. Moreover, data-driven information can be extracted to compare the recovery process in different areas. The coverage and precision of mobile phone data is typically better than what is available from social media, and also provides information about infrastructure damage when cell towers go offline. This paper aims at paving the way to make aggregate measurements of population movements available to officials responsible for evacuation orders and first responders, in order to improve disaster management and recovery processes.

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