Uncovering Urban Temporal Patterns from Geo-Tagged Photography.

ABSTRACT: We live in a world where digital trails of different forms of human activities compose big urban data, allowing us to detect many aspects of how people experience the city in which they live or come to visit. In this study we propose to enhance urban planning by taking into a consideration individual preferences using information from an unconventional big data source: dataset of geo-tagged photographs that people take in cities which we then use as a measure of urban attractiveness. We discover and compare a temporal behavior of residents and visitors in ten most photographed cities in the world. Looking at the periodicity in urban attractiveness, the results show that the strongest periodic patterns for visitors are usually weekly or monthly. Moreover, by dividing cities into two groups

SUBMITTER: Paldino S 

PROVIDER: S-EPMC5148589 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature