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Linking Geosocial Sensing with the Socio-Demographic Fabric of Smart Cities
Content Provider | MDPI |
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Author | Ostermann, Frank O. |
Copyright Year | 2021 |
Description | Technological advances have enabled new sources of geoinformation, such as geosocial media, and have supported the propagation of the concept of smart cities. This paper argues that a city cannot be smart without citizens in the loop, and that a geosocial sensor might be one component to achieve that. First, we need to better understand which facets of urban life could be detected by a geosocial sensor, and how to calibrate it. This requires replicable studies that foster longitudinal and comparative research. Consequently, this paper examines the relationship between geosocial media content and socio-demographic census data for a global city, London, at two administrative levels. It aims for a transparent study design to encourage replication, using Term Frequency—Inverse Document Frequency of keywords, rule-based and word-embedding sentiment analysis, and local cluster analysis. The findings of limited links between geosocial media content and socio-demographic characteristics support earlier critiques on the utility of geosocial media for smart city planning purposes. The paper concludes that passive listening to publicly available geosocial media, in contrast to pro-active engagement with citizens, seems of limited use to understand and improve urban quality of life. |
Starting Page | 52 |
e-ISSN | 22209964 |
DOI | 10.3390/ijgi10020052 |
Journal | ISPRS International Journal of Geo-Information |
Issue Number | 2 |
Volume Number | 10 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-01-27 |
Access Restriction | Open |
Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information Systems Geosocial Media User-generated Geographic Content Smart City Smart Citizen Social Sensing Replication Reproducibility |
Content Type | Text |
Resource Type | Article |