Monitoring Chinese Population Migration in Consecutive Weekly Basis from Intra-city scale to Inter-province scale by Didi's Bigdata
Renyu Zhao

TL;DR
This paper presents a novel system using Didi's big data to monitor population migration across China weekly, from community to provincial levels, leveraging WiFi hotspot movement as a proxy for migration.
Contribution
It introduces a new method for real-time migration monitoring using WiFi AP data, with a comprehensive processing pipeline to improve accuracy.
Findings
Migration can be detected within a week.
The system provides nationwide migration insights.
WiFi AP movement correlates with population migration.
Abstract
Population migration is valuable information which leads to proper decision in urban-planning strategy, massive investment, and many other fields. For instance, inter-city migration is a posterior evidence to see if the government's constrain of population works, and inter-community immigration might be a prior evidence of real estate price hike. With timely data, it is also impossible to compare which city is more favorable for the people, suppose the cities release different new regulations, we could also compare the customers of different real estate development groups, where they come from, where they probably will go. Unfortunately these data was not available. In this paper, leveraging the data generated by positioning team in Didi, we propose a novel approach that timely monitoring population migration from community scale to provincial scale. Migration can be detected as soon…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Urban Transport and Accessibility
