UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A name‐led approach to profile urban places based on geotagged Twitter data

Lai, J; Lansley, G; Haworth, J; Cheng, T; (2019) A name‐led approach to profile urban places based on geotagged Twitter data. Transactions in GIS 10.1111/tgis.12599. (In press).

[img] Text
Lai_Accepted version.pdf - Accepted version
Access restricted to UCL open access staff until 6 December 2021.

Download (2MB)

Abstract

Place is a concept that is fundamental to how we orientate and communicate space in our everyday lives. Crowdsourced social media data present a valuable opportunity to develop bottom‐up inferences of places that are integral to social activities and settings. Conventional location‐led approaches use a predefined spatial unit to associate data and space with places, which cannot capture the richness of urban places (i.e., spatial extents and their dynamic functions). This article develops a name‐led framework to overcome these limitations in using social media data to study urban places. The framework first derives place names from georeferenced Twitter data combining text mining and spatial point pattern analysis, then estimates the spatial extents by spatial clustering, and further extracts their dynamic functions with time, which makes up a complete place profile. The framework is tested on a case study in Camden Borough, London and the results are evaluated through comparisons to the Foursquare point of interest data. This name‐led approach enables the shift from space‐based analysis to place‐based analysis of urban space.

Type: Article
Title: A name‐led approach to profile urban places based on geotagged Twitter data
DOI: 10.1111/tgis.12599
Publisher version: http://dx.doi.org/10.1111/tgis.12599
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Social Sciences, Geography, SPACE-TIME, CITIES
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10091855
Downloads since deposit
1Download
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item