Identifying city center using human travel flows generated from location-based social networking data

@inproceedings{Sun2015IdentifyingCC,
  title={Identifying city center using human travel flows generated from location-based social networking data},
  author={Yeran Sun and Hongchao Fan and Ming Li and Alexander Zipf},
  year={2015}
}
Since cities become more complex and some of large cities are likely to be polycentric, a better understanding of cities requires a clear topology that reveals how city centers are spatially distributed and interacted. The identification of city center that aims to find out accurate location of city center or delineate city center with a precise boundary becomes vital. This work attempts to achieve this by using a new type of movement data generated from location-based social networks, whereby… CONTINUE READING

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