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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events

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Author(s):
de Andrade, Sidgley Camargo [1] ; Porto de Albuquerque, Joao [2] ; Restrepo-Estrada, Camilo [3] ; Westerholt, Rene [4] ; Rodriguez, Carlos Augusto Morales [5] ; Mendiondo, Eduardo Mario [6] ; Delbem, Alexandre Claudio Botazzo [7]
Total Authors: 7
Affiliation:
[1] Univ Tecnol Fed Parana, Toledo - Brazil
[2] Univ Warwick, Inst Global Sustainable Dev, Coventry, W Midlands - England
[3] Univ Antioquia, Fac Econ Sci, Medellin - Colombia
[4] TU Dortmund Univ, Sch Spatial Planning, Dortmund - Germany
[5] Univ Sao Paulo, Inst Astron Geophys & Atmospher Sci, Sao Paulo - Brazil
[6] Univ Sao Paulo, Sao Carlos Sch Engn, Sao Carlos - Brazil
[7] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos - Brazil
Total Affiliations: 7
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE; AUG 2021.
Web of Science Citations: 0
Abstract

Although it is acknowledged that urban inequalities can lead to biases in the production of social media data, there is a lack of studies which make an assessment of the effects of intra-urban movements in real-world urban analytics applications, based on social media. This study investigates the spatial heterogeneity of social media with regard to the regular intra-urban movements of residents by means of a case study of rainfall-related Twitter activity in Sao Paulo, Brazil. We apply a spatial autoregressive model that uses population and income as covariates and intra-urban mobility flows as spatial weights to explain the spatial distribution of the social response to rainfall events in Twitter vis-a-vis rainfall radar data. Results show high spatial heterogeneity in the response of social media to rainfall events, which is linked to intra-urban inequalities. Our model performance (R-2 = 0.80) provides evidence that urban mobility flows and socio-economic indicators are significant factors to explain the spatial heterogeneity of thematic spatiotemporal patterns extracted from social media. Therefore, urban analytics research and practice should consider not only the influence of socio-economic profile of neighborhoods but also the spatial interaction introduced by intra-urban mobility flows to account for spatial heterogeneity when using social media data. (AU)

FAPESP's process: 18/08413-6 - UK-Brazil collaboration for investigating the nexus between water, health and urban resilience
Grantee:Eduardo Mario Mendiondo
Support Opportunities: Regular Research Grants
FAPESP's process: 19/01717-2 - Building a spatial fairness model in social media analysis
Grantee:Sidgley Camargo de Andrade
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 17/15413-0 - Fusion of data from social media and physical sensors for rainfall monitoring
Grantee:Sidgley Camargo de Andrade
Support Opportunities: Scholarships in Brazil - Doctorate