Fine-Grained Subjective Partitioning of Urban Space Using Human Interactions From Social Media Data

Fine-Grained Subjective Partitioning of Urban Space Using Human Interactions From Social Media Data

Fine-grained subjective partitioning of urban space using human activity flows reveals actual human activity spaces with high resolution, which has great implications for the development and validation of planning strategies. This paper presents a new method for fine-grained subjective partitioning...

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Bibliographic Details
Main Authors: Mengling Qiao, Yandong Wang, Shanmei Wu, An Luo, Shisi Ruan, Yanyan Gu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Gravity model
hierarchy
network analysis
social media
subjective partitioning
Online Access:https://ieeexplore.ieee.org/document/8693643/

Internet

https://ieeexplore.ieee.org/document/8693643/

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