Social media and mobility landscape: uncovering spatial patterns of urban human mobility with multi source data
Frontiers of Environmental Science & Engineering, Volume abs/1808.04422, 2018.
Social media Human mobility Population bias Sample reconstruction Data integration
In this paper, we present a three-step methodological framework, including location identification, bias modification, and out-of-sample validation, so as to promote human mobility analysis with social media data. More specifically, we propose ways of identifying personal activity-specific places and commuting patterns in Beijing, China, ...More
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