English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Population migration is valuable information which leads to proper decisionin urban-planning strategy, massive investment, and many other fields. Forinstance, inter-city migration is a posterior evidence to see if thegovernment's constrain of population works, and inter-community immigrationmight be a prior evidence of real estate price hike. With timely data, it isalso impossible to compare which city is more favorable for the people, supposethe cities release different new regulations, we could also compare thecustomers 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, wepropose a novel approach that timely monitoring population migration fromcommunity scale to provincial scale. Migration can be detected as soon as in aweek. It could be faster, the setting of a week is for statistical purpose. Amonitoring system is developed, then applied nation wide in China, someobservations derived from the system will be presented in this paper.  This new method of migration perception is origin from the insight thatnowadays people mostly moving with their personal Access Point (AP), also knownas WiFi hotspot. Assume that the ratio of AP moving to the migration ofpopulation is constant, analysis of comparative population migration would befeasible. More exact quantitative research would also be done with few sampleresearch and model regression.  The procedures of processing data includes many steps: eliminating the impactof pseudo-migration AP, for instance pocket WiFi, and second-hand tradedrouter; distinguishing moving of population with moving of companies;identifying shifting of AP by the finger print clusters, etc..

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