Smart City Gnosys
Smart city article details
| Title | Social Dynamics In Cities: Analysis Through Lbsn Data |
|---|---|
| ID_Doc | 51970 |
| Authors | Nolasco-Cirugeda A.; García-Mayor C. |
| Year | 2022 |
| Published | Procedia Computer Science, 207 |
| DOI | http://dx.doi.org/10.1016/j.procs.2022.09.143 |
| Abstract | Location-Based Social Networks data -LBSN data- reveal, in essence, user preferences and patterns of use of urban space. This information plays a key role in research on social dynamics in cities. Today, social network applications are widely available and this digital data represents a complementary and inescapable source of data for the analysis of urban dynamics. Ten years ago, a handful of pioneering researchers paved the way to tackle city issues employing different types of LBSN data. The present work describes a series of case-studies that have contributed to a research methodology which, in turn, helps to unveil the traces of the city pulse lying hidden behind digital footprints. These cases exemplify how these sources help to gain a better understanding of social dynamics and can be used in urban interventions. The presented case studies were mainly data-sourced by Foursquare, Twitter, and Google Places, while other social networks such as Airbnb, Wikiloc, and Strava were used for the specific cases of tourism or sport-related topics. The case studies address urban issues based on multiscale approaches, using different LBSN datasets simultaneously in order to obtain a complex and accurate analysis, such as: a) the social dynamism at the neighborhood scale, searching for urban regeneration opportunities; b) tourism-related urban dynamics, both at the local and city scale, with a high granularity; c) user presence and preferences when assessing the city green infrastructure system; and, d) tracking informal sport activity in the urban periphery, connecting urban tissues and natural assets on the city borders. © 2022 The Authors. Published by Elsevier B.V. |
| Author Keywords | City Planning; LBSN data; Social dynamics; Urban analysis |
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