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PLoS ONE· 2012Q1

A Tale of Many Cities: Universal Patterns in Human Urban Mobility

Anastasios Noulas, Salvatore Scellato, Renaud Lambiotte, Massimiliano Pontil et al.

Short summary

A universal law for human mobility was identified, where the rank-distance (number of places between origin and destination) is a key component, not just physical distance.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Urban mobility patterns in multiple global cities were analyzed using Foursquare location data.
  • Variations in mobility across cities are primarily attributed to differing distributions of places.
  • A universal law for human mobility was identified, emphasizing rank-distance over physical distance.
  • A rank-based movement model accurately predicts real human movements.

AI-generated from the title and abstract; the full text is not read.

Abstract

The advent of geographic online social networks such as Foursquare, where users voluntarily signal their current location, opens the door to powerful studies on human movement. In particular the fine granularity of the location data, with GPS accuracy down to 10 meters, and the worldwide scale of Foursquare adoption are unprecedented. In this paper we study urban mobility patterns of people in several metropolitan cities around the globe by analyzing a large set of Foursquare users. Surprisingly, while there are variations in human movement in different cities, our analysis shows that those are predominantly due to different distributions of places across different urban environments. Moreover, a universal law for human mobility is identified, which isolates as a key component the rank-distance, factoring in the number of places between origin and destination, rather than pure physical distance, as considered in some previous works. Building on our findings, we also show how a rank-based movement model accurately captures real human movements in different cities.

The authors' abstract, as published at the source. PLoS ONE, 2012 · DOI ↗

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Field: Transportation

TransportationSocial Sciences