Exploring the Factors Influencing the Spread of COVID-19 Within Residential Communities Using a Big Data Approach: A Case Study of Beijing

Exploring the Factors Influencing the Spread of COVID-19 Within Residential Communities Using a Big Data Approach: A Case Study of Beijing

The COVID-19 pandemic has profoundly influenced urban planning and disease management in residential areas. Focusing on Beijing as a case study (3898 communities), this research develops a big data analytics framework integrating anonymized mobile phone signals (China Mobile), location-based service...

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Bibliographic Details
Main Authors: Yang Li, Xiaoming Sun, Huiyan Chen, Hong Zhang, Yinong Li, Wenqi Lin, Linan Ding
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
big data
residential communities
transmission factors
risk prediction
planning and governance
Online Access:https://www.mdpi.com/2075-5309/15/13/2186
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