Validating urban scaling laws through mobile phone data: analysis of Brazil’s largest cities

Abstract Urban scaling theories posit that larger cities exhibit disproportionately higher levels of socioeconomic activity and human interactions. Yet, evidence from developing countries (especially those marked by stark socioeconomic disparities) remains limited. To address this gap, we analyse a month-long dataset of 3.1 billion voice-call records from Brazil’s 100 most populous cities, providing a national-scale test of urban scaling laws. We measure interactions using two complementary proxies: the number of phone-based contacts (voice-call degrees) and the number of trips inferred from consecutive calls in distinct locations. Our findings reveal clear superlinear relationships in both metrics, indicating that larger urban centres exhibit intensified remote communication and physical mobility. We further observe that gross domestic product (GDP) also scales superlinearly with population, consistent with broader claims that economic output grows faster than city size. Conversely, the number of antennas required per user scales sublinearly, suggesting economies of scale in telecommunications infrastructure. Although the dataset covers a single provider, its widespread coverage in major cities supports the robustness of the results. We nonetheless discuss potential biases, including city-specific marketing campaigns and predominantly prepaid users, as well as the open question of whether higher interaction drives wealth or vice versa. Overall, this study enriches our understanding of urban scaling especially in the global south, emphasising how communication and mobility jointly shape the socioeconomic landscapes of rapidly growing cities.

Authors

Institutions

Publication Details

Journal
Computational Urban Science
Published
2026-03-27
DOI
https://doi.org/10.1007/s43762-026-00252-x
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validating urban scaling laws through mobile phone data: analysis of Brazil’s largest cities

Fabiano L. Ribeiro, Horacio Samaniego, Alexandre G. Evsukoff, Ronaldo Menezes et al.
Computational Urban Science
Human Mobility and Location-Based Analysis
article

Validating urban scaling laws through mobile phone data: analysis of Brazil’s largest cities

Fabiano L. Ribeiro, Horacio Samaniego, Alexandre G. Evsukoff, Ronaldo Menezes, Ricardo de S. Alencar
article en

Abstract

Abstract Urban scaling theories posit that larger cities exhibit disproportionately higher levels of socioeconomic activity and human interactions. Yet, evidence from developing countries (especially those marked by stark socioeconomic disparities) remains limited. To address this gap, we analyse a month-long dataset of 3.1 billion voice-call records from Brazil’s 100 most populous cities, providing a national-scale test of urban scaling laws. We measure interactions using two complementary proxies: the number of phone-based contacts (voice-call degrees) and the number of trips inferred from consecutive calls in distinct locations. Our findings reveal clear superlinear relationships in both metrics, indicating that larger urban centres exhibit intensified remote communication and physical mobility. We further observe that gross domestic product (GDP) also scales superlinearly with population, consistent with broader claims that economic output grows faster than city size. Conversely, the number of antennas required per user scales sublinearly, suggesting economies of scale in telecommunications infrastructure. Although the dataset covers a single provider, its widespread coverage in major cities supports the robustness of the results. We nonetheless discuss potential biases, including city-specific marketing campaigns and predominantly prepaid users, as well as the open question of whether higher interaction drives wealth or vice versa. Overall, this study enriches our understanding of urban scaling especially in the global south, emphasising how communication and mobility jointly shape the socioeconomic landscapes of rapidly growing cities.

Computational Urban ScienceVol. 6(1)
Universidade Federal do Rio de Janeiro (BR), Universidade Federal de Lavras (BR), Austral University of Chile (CL), University of Exeter (GB), Complex Engineering System Institute (CL)
Openalex Percentile: Top 6%
Human Mobility and Location-Based Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.