Analysis of hurricane-induced population spatial mobility through geospatial digital shadows derived from Twitter
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Abstract
Multiple researchers believe spatial behavior has reached a bottleneck derived from the rigidity of traditional spatial behavior inquiry methods and the unavailability of trustworthy and relevant information. Digital geospatial trace data is seen as one of the most promising opportunities to develop and test new hypotheses on spatial behavior, but the application of these new methods has not been fully explored within the hazard/disaster discipline. This article summarizes the latest advancements in this area focusing on the suitability of geotagged social media (Twitter) as an innovative approach for human spatial behavior. This research tracks pre-event Twitter users’ locations to produce estimates on the number of (pre-event) evacuees, and their post-disaster locations to estimate the number of displaced people, and the impact of a disaster on tourist visitations.
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