TY - JOUR
T1 - Linking geosocial sensing with the socio-demographic fabric of smart cities
AU - Ostermann, F.O.
N1 - Funding Information:
The author would like to thank Andrea Ballatore and Stefano de Sabbata for the insightful discussions and their support in working with and understanding their previous work on user-generated content in London, and Ross Purves from the GIScience Center at the University of Zurich for sharing Flickr metadata from 2014 and before. The author would also like to thank the four reviewers for their valuable and helpful comments.
Publisher Copyright:
© 2021 by the author.
PY - 2021/1/27
Y1 - 2021/1/27
N2 - 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.
AB - 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.
KW - ITC-ISI-JOURNAL-ARTICLE
KW - ITC-GOLD
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2021/isi/ostermann_lin.pdf
U2 - 10.3390/ijgi10020052
DO - 10.3390/ijgi10020052
M3 - Article
VL - 10
SP - 1
EP - 22
JO - ISPRS international journal of geo-information
JF - ISPRS international journal of geo-information
SN - 2220-9964
IS - 2
M1 - 52
ER -