A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities

《A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities》

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作者: Mengling Qiao;Yandong Wang;Shanmei Wu;Xiaokang Fu;Yanyan Gu;Mingxuan Dou

关键字: Human activity;Collective activity space;Economic segregation pattern;ICE;TFIDF

作者单位: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;Collaborative Innovation Centre for Geospatial Information Technology, Wuhan University, Wuhan, China;Faculty of Geomatics, East China University of Technology, Nanchang, China;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;Collaborative Innovation Centre for Geospatial Information Technology, Wuhan University, Wuhan, China;Faculty of Geomatics, East China University of Technology, Nanchang, China

摘要: Research on the realistic and comprehensive identification of citywide spatial patterns of economic segregation is valuable for the sustainable development of cities. The consideration of human activities in segregation research inspires us to develop an alternative method to contribute to this type of research. In our method, we emphasize the combination of collective activity spaces (CASs) and spatial economic data, both of which are obtained from dynamic human activities. We first reveal the realistic use of urban spaces from human mobility patterns to generate multilevel CASs as basic analytical units. Then, we use a type of realistic economic data generated from human activities to measure the segregation level of each CAS. We realize this measurement by tailoring a segregation index, named the Term Frequency-Inverse Document Frequency-Index of Concentration at the Extremes-based (TFIDF-ICE-based) segregation index, for our economic data. Through these methods, we can uncover citywide multilevel spatial patterns of economic segregation realistically and comprehensively. Using Beijing and Wuhan as cases, we demonstrate and discuss the applicability and value of our method.