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Understanding collective responses to urban disasters from human’s digital footprints: rhythm, pattern, and perception

Date: 2024-01-15      View counts: 805    

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Abstract:

In the era of big data, massive digital footprint data from crowd sources provide valuable observational data for studying the spatiotemporal characteristics and patterns of human activities. This report introduces how to use human’s digital footprint datasets to understand the collective responses to urban disasters from three aspects: the rhythm, pattern and perception, and its application value in disaster monitoring, disaster damage assessment and resilience quantification.

Name of reporter
Yi Jiawei
Title of reporter
Associate Prof.
Organization of reporter
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Subject
Other
Training Year
2023
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