A new approach for identifying urban employment centers using mobile phone data: a case study of Shanghai

Identifying urban employment centers (UECs) is crucial for understanding urban spatial structures. Conventional identification methods use census-type aggregated data. The increasing pervasiveness of mobile phone data provides new possibilities to analyze UECs at finer spatial resolution but require...

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Veröffentlicht in:	International journal of geographical information science : IJGIS 2023-05, Vol.37 (5), p.1180-1207
Hauptverfasser:	Yan, Longxu, Wang, Yishu, Wang, De, Zhang, Shangwu, Xiao, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Case studies Cell phones Cellular telephones Density Employment Identification methods locally decaying model mobile phone data Monte Carlo simulation Spatial discrimination Spatial resolution Statistical analysis subcenter identification method Urban employment center
Online-Zugang:	Volltext
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