Delineating and modeling activity space using geotagged social media data

Document Type

Article

Publication Date

5-3-2020

Abstract

It has become increasingly important in spatial equity studies to understand activity spaces–where people conduct regular out-of-home activities. Big data can advance the identification of activity spaces and the understanding of spatial equity. Using the Los Angeles metropolitan area for the case study, this paper employs geotagged Twitter data to delineate activity spaces with two spatial measures: first, the average distance between users’ home location and activity locations; and second, the area covered between home and activity locations. The paper also finds significant relationship between the spatial measures of activity spaces and neighborhood spatial and socioeconomic characteristics. This research enriches the literature that aims to address spatial equity in activity spaces and demonstrates the applicability of big data in urban socio-spatial research.

Identifier

85079421705 (Scopus)

Publication Title

Cartography and Geographic Information Science

External Full Text Location

https://doi.org/10.1080/15230406.2019.1705187

e-ISSN

15450465

ISSN

15230406

First Page

277

Last Page

288

Issue

3

Volume

47

Grant

1416509

Fund Ref

National Science Foundation

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