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Mobility census for monitoring rapid urban development.
- Source :
-
Journal of the Royal Society, Interface [J R Soc Interface] 2024 May; Vol. 21 (214), pp. 20230495. Date of Electronic Publication: 2024 May 08. - Publication Year :
- 2024
-
Abstract
- Monitoring urban structure and development requires high-quality data at high spatio-temporal resolution. While traditional censuses have provided foundational insights into demographic and socio-economic aspects of urban life, their pace may not always align with the pace of urban development. To complement these traditional methods, we explore the potential of analysing alternative big-data sources, such as human mobility data. However, these often noisy and unstructured big data pose new challenges. Here, we propose a method to extract meaningful explanatory variables and classifications from such data. Using movement data from Beijing, which are produced as a by-product of mobile communication, we show that meaningful features can be extracted, revealing, for example, the emergence and absorption of subcentres. This method allows the analysis of urban dynamics at a high-spatial resolution (here 500 m) and near real-time frequency, and high computational efficiency, which is especially suitable for tracing event-driven mobility changes and their impact on urban structures.
- Subjects :
- Humans
Beijing
Urban Renewal
Urban Population
Population Dynamics
Censuses
Subjects
Details
- Language :
- English
- ISSN :
- 1742-5662
- Volume :
- 21
- Issue :
- 214
- Database :
- MEDLINE
- Journal :
- Journal of the Royal Society, Interface
- Publication Type :
- Academic Journal
- Accession number :
- 38715320
- Full Text :
- https://doi.org/10.1098/rsif.2023.0495