Reading the urban socio-spatial network through space syntax and geo-tagged Twitter data

Aminreza Iranmanesh and Resmiye Alpar Atun

Journal of Urban Design, 2020, vol. 25, issue 6, 738-757

Abstract: This research examines the predictability of geo-tagged Twitter data via space syntax integration measurement using geographic information system (GIS). Mobile networking mediums are an emergent part of everyday life in the city. In light of this, research on cities needs to take into account these new data sources. The study was conducted in two Cypriot cities, Famagusta and Kyrenia, and the result shows the significance of local accessibility in predicting Twitter data in both cases. The outcome also suggests the critical importance of investigating the outliers in the dataset because they might clarify hidden potentials of urban spaces.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13574809.2020.1814132 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:cjudxx:v:25:y:2020:i:6:p:738-757

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cjud20

DOI: 10.1080/13574809.2020.1814132

Access Statistics for this article

Journal of Urban Design is currently edited by Professor Taner Oc, Professor Michael Southworth, Professor Matthew Carmona and Dr Elisabete Cidre

More articles in Journal of Urban Design from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().