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/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

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

Zendy Tools

Zendy Open

Nowadays, travel surveys provide rich information about urban mobility andcommuting patterns. But, at the same time, they have drawbacks: they are staticpictures of a dynamic phenomena, are expensive to make, and take prolongedperiods of time to finish. However, the availability of mobile usage data (CallDetail Records) makes the study of urban mobility possible at levels not knownbefore. This has been done in the past with good results--mobile data makespossible to find and understand aggregated mobility patterns. In this paper, wepropose to analyze mobile data at individual level by estimating dailyjourneys, and use those journeys to build Origin-Destiny matrices to understandurban flow. We evaluate this approach with large anonymized CDRs from Santiago,Chile, and find that our method has a high correlation ($\rho = 0.89$) with thecurrent travel survey, and that it captures external anomalies in daily travelpatterns, making our method suitable for inclusion into urban computingapplications.

A Day of Your Days: Estimating Individual Daily Journeys Using Mobile Data to Understand Urban Flow