10.5281/zenodo.4668663
https://zenodo.org/records/4668663
oai:zenodo.org:4668663
Willis, George
George
Willis
University of Birmingham
Gong, Zhaoya
Zhaoya
Gong
University of Bristol and The Alan Turing Institute
Tranos, Emmanouil
Emmanouil
Tranos
University of Bristol and The Alan Turing Institute
Detecting urban structure through inter-city human interactions in China
Zenodo
2021
2021-04-07
10.5281/zenodo.4668662
https://zenodo.org/communities/gisruk_2021
Creative Commons Attribution 4.0 International
We combine novel inter-city human interaction data with traditional node attribute data to explore
how the Chinese urban network is structured, and how this is associated with the economic
performance of cities in an increasingly urbanising China. We then employ well-established
unsupervised machine learning algorithms to cluster the Chinese cities based on these network
variables and create urban typologies based on mid-term migration patterns. We identify 7 clusters of
cities with shared network characteristics and contrast their economic performances based on more
traditional data. The most disconnected, peripheral cities are also shrinking with a negative population
difference, but are not necessarily the weakest economically, with a reliance on primary industry.