Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data

2018年第12卷第5期

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Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data

¹. School of Environment, Tsinghua University, Beijing 100084, China
². Microsoft Research Asia, Microsoft Corporation, Beijing 100080, China

发布日期： 2018-09-25

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摘要

Check-in and survey data are explored to identify personal activity-specific places.

Ways for detecting and moderating sample bias of Weibo check-in data is proposed.

A graphic representation of urban activity intensity in Beijing, China is presented.

The potential application of Weibo check-in data for urban analysis is introduced.

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