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Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata

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References

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Cited by

2020Comparing Deep Learning and Statistical Methods in Forecasting Crowd Distribution from Aggregated Mobile Phone Data39 cited
2022Fine-scale population spatialization data of China in 2018 based on real location-based big data37 cited
2022Flow trace: A novel representation of intra-urban movement dynamics17 cited
2025Supply-demand matching assessment of public services facility among age groups from the perspective of travel behavior16 cited
2019Deep multi-task learning for individuals origin–destination matrices estimation from census data15 cited
2020Better coverage, better outcomes? Mapping mobile network data to official statistics using satellite imagery and radio propagation modelling9 cited
2021Multi-level Inter-regional Migrant Population Estimation Using Multi-source Spatiotemporal Big Data: A Case Study of Migrants in Hubei Province During the Outbreak of COVID-19 in Wuhan8 cited
2025Assessing the space-use efficiency of French cities by coupling city volumes with mobile data traffic6 cited
2022VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata5 cited
2025High-resolution population distribution prediction considering the spatiotemporal heterogeneity of geolocated behavior4 cited
2020Dynamic Population Estimation Using Anonymized Mobility Data4 cited
2024DeepMEND: Reliable and Scalable Network Metadata Geolocation from Base Station Positions3 cited