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Exploring the spatial distribution of geo-tagged Twitter feeds via street-centrality measures

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Abstract

The socio-spatial complexity of urban spaces is increasing with the broad reach of mobile devices and digital communication mediums. This research explores the quantifiable spatial distribution of urban activities through the lens of social media. Accordingly, two key objectives are addressed in this paper. First, testing the reliability of social media as a tool for understanding urban public activities; and second, exploring the effects of physical accessibility on the interactions of people with urban spaces. Furthermore, this study explores new methodological possibilities for reading urban space through social media and measurable accessibility. Three layers of data are used to address these objectives: a collection of geo-tagged public Twitter feeds, a geo-tagged name-generator survey, and the metric Euclidian centrality measures of the urban spatial network (closeness and betweenness). The findings show that the geo-tagged Twitter data can be a reliable tool for understanding the socio-spatial structure of urban public spaces. Results also suggest a variety of socio-spatial patterns arising from relating Twitter data to centrality measures with more emphasis on locality.

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Notes

  1. It is also referred to as Volunteered Geographic Information (VGI).

  2. NodeXL is an add-in application for Microsoft Excel that performs network analysis, for more information see Hansen et al. (2010).

  3. The hexagonal grid allows for a more natural comparison in cities without a regular grid, especially when physical proximity is a key component (See Shelton et al. 2015).

  4. Variance Inflation Factor (VIF) is defined by 1/(1 − R2), where R is the correlation coefficient between target IVs. A VIF value larger than ten is considered to have high multicollinearity, between five and ten is considered medium, and close to one is considered to be low multicollinearity (Chatterjee and Hadi 2015).

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Authors and Affiliations

  1. Department of Architecture, Eastern Mediterranean University, Famagusta, Mersin 10, Turkey

    Aminreza Iranmanesh & Resmiye Alpar Atun

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  1. Aminreza Iranmanesh
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  2. Resmiye Alpar Atun
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Correspondence to Aminreza Iranmanesh.

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Iranmanesh, A., Atun, R.A. Exploring the spatial distribution of geo-tagged Twitter feeds via street-centrality measures. Urban Des Int 23, 293–306 (2018). https://doi.org/10.1057/s41289-018-0073-0

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