Quantifying Virtual Urban Commercial Linkages Using Spatial Phone Call Data—A Comparative Study Between Guangzhou and Shenzhen

The importance of cities hinges on how they connect with other cities globally, yet research has been lacking in the exploration of virtual linkages. This study takes Guangzhou and Shenzhen as samples to measure their virtual urban linkage with other cities in China. First, it improves the gravity model by considering the impact of distance on call intentions in the context of phone conversations. Second, it uses call detail record (CDR) data to measure urban linkage based on the enhanced gravity model. Lastly, it employs a more effective geodetector to analyze the driving factors. The results indicate the following: cities in the southeast exhibit significantly higher connectivity; Guangzhou’s linkage is more pronounced than Shenzhen’s; and the volume of import and export trade is a stronger indicator of urban linkage. The urban linkage measured through CDRs offers new insights into the study of urban linkage.

Authors

Institutions

Publication Details

Journal
Urban Science
Published
2025-05-20
DOI
https://doi.org/10.3390/urbansci9050176
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
2.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying Virtual Urban Commercial Linkages Using Spatial Phone Call Data—A Comparative Study Between Guangzhou and Shenzhen

Zihao Zheng, H. B. Jiang, Hongyu Sun, Zheng Cao et al.
1 citations
Urban Science
Human Mobility and Location-Based Analysis
2.18
article

Quantifying Virtual Urban Commercial Linkages Using Spatial Phone Call Data—A Comparative Study Between Guangzhou and Shenzhen

Zihao Zheng, H. B. Jiang, Hongyu Sun, Zheng Cao, Zhifeng Wu, Qifei Zhang
article en
1 citations

Abstract

The importance of cities hinges on how they connect with other cities globally, yet research has been lacking in the exploration of virtual linkages. This study takes Guangzhou and Shenzhen as samples to measure their virtual urban linkage with other cities in China. First, it improves the gravity model by considering the impact of distance on call intentions in the context of phone conversations. Second, it uses call detail record (CDR) data to measure urban linkage based on the enhanced gravity model. Lastly, it employs a more effective geodetector to analyze the driving factors. The results indicate the following: cities in the southeast exhibit significantly higher connectivity; Guangzhou’s linkage is more pronounced than Shenzhen’s; and the volume of import and export trade is a stronger indicator of urban linkage. The urban linkage measured through CDRs offers new insights into the study of urban linkage.

Urban ScienceVol. 9(5)
Yunnan Normal University (CN), Guangzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 14%
Human Mobility and Location-Based Analysis
2.18
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.