Visualizing the pattern of origin of international visitors to Beijing and Shanghai based on mobile phone data
Bibliographic Data
| ID | 21246896 |
|---|---|
| Authors | Yao Wang (0000-0002-7024-4233, Suzhou University of Science and Technology), Yongheng Feng (Peking University), Xiaodong Meng (0000-0002-1537-668X, Suzhou University of Science and Technology), Yang Xiao (0000-0001-9237-8913, Tongji University, corresponding author) |
| Year | 2023 |
| Volume | 50 |
| Issue | 2 |
| Pages | 569-571 |
| Publication date | 2023-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083221147529 |
| OpenAlex | W4312198389 |
| Language | EN |
| Citations received | 1 |
| References cited | 3 |
There is a long tradition of understanding globalization by measuring the “world city-ness”, and there are two distinctive frameworks concerning the interrelations of the “world city network”, one of which builds upon the notion of worldwide corporate organizations and the other on the infrastructure of transport. Despite that, more studies on a single city are still required, since most cities participated in the globalization process on their own terms. Thus, the aim of this study is to visualize the patterns of origins of foreign visitors using data from mobile phones in order to better understand how China's global cities contribute to globalization in a cartogram. It is found that the strength of Shanghai’s global connections are concentrated overtly in the countries of the Asia-Pacific region, but Beijing still has the dominant role in sustaining China’s global links
Beijing · Business · China · Economic geography · Economics · Economy · Geography · Global city · Globalization · Mobile phone · Political science · Telecommunications · Engineering · Global Urban Networks and Dynamics · Human Mobility and Location-Based Analysis · Regional Economics and Spatial Analysis
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |