Exploring the Spatiotemporal Patterns of Residents’ Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China

Exploring the Spatiotemporal Patterns of Residents’ Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China

The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully utilized its semantic and spatiotemporal informat...

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Bibliographic Details
Main Authors: Jian Liu, Bin Meng, Juan Wang, Siyu Chen, Bin Tian, Guoqing Zhi
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
social media data
text data mining
BERT
residents’ daily activities
spatiotemporal patterns
Beijing
Online Access:https://www.mdpi.com/2220-9964/10/6/389

Internet

https://www.mdpi.com/2220-9964/10/6/389

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