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Urban Informatics and Future CitiesRevealing the Spatial Preferences Embedded in Online Activities: A Case Study of Chengdu, China

Urban Informatics and Future Cities: Revealing the Spatial Preferences Embedded in Online... [Online activities based on various social media applications are gradually becoming a vital social activity issue in the mobile Internet era. This study aims to reveal the spatial preferences embedded in this new type of urban life to better plan and design future cities. With two different types of social media data—online location tagging from Weibo and online reviews of POIs on Dianping—we conducted a quantitative analysis to explore the relationship between online activities and the built environment elements. The results suggested that online activities remain associated with urban entities, and the activity represented by Dianping reviews revealed more significant spatial preferences than that described by Weibo check-ins. The results also showed similarities and differences between spatial choices of those who engage in these two activities. These findings allow for an in-depth understanding of contemporary cities’ complexity and provide new opportunities for integrating cyberspace and city space.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Urban Informatics and Future CitiesRevealing the Spatial Preferences Embedded in Online Activities: A Case Study of Chengdu, China

Part of the The Urban Book Series Book Series
Editors: Geertman, S. C. M.; Pettit, Christopher; Goodspeed, Robert; Staffans, Aija

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-76058-8
Pages
173 –188
DOI
10.1007/978-3-030-76059-5_10
Publisher site
See Chapter on Publisher Site

Abstract

[Online activities based on various social media applications are gradually becoming a vital social activity issue in the mobile Internet era. This study aims to reveal the spatial preferences embedded in this new type of urban life to better plan and design future cities. With two different types of social media data—online location tagging from Weibo and online reviews of POIs on Dianping—we conducted a quantitative analysis to explore the relationship between online activities and the built environment elements. The results suggested that online activities remain associated with urban entities, and the activity represented by Dianping reviews revealed more significant spatial preferences than that described by Weibo check-ins. The results also showed similarities and differences between spatial choices of those who engage in these two activities. These findings allow for an in-depth understanding of contemporary cities’ complexity and provide new opportunities for integrating cyberspace and city space.]

Published: Jul 16, 2021

Keywords: Online activity; Social media data; Built environment; Spatial preference; Urban design

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