DynamiCITY: Revealing city dynamics from citizens social media broadcasts

作者：

Highlights：

• The problem of modeling cities into dynamic areas is addressed.

• The methodology proposed extends and compares Dynamic Area Extraction Approaches.

• A hybrid representation of POIs that combines several features is introduced.

• The usefulness of the proposed approach is demonstrated through DynamiCITY platform.

摘要

•The problem of modeling cities into dynamic areas is addressed.•The methodology proposed extends and compares Dynamic Area Extraction Approaches.•A hybrid representation of POIs that combines several features is introduced.•The usefulness of the proposed approach is demonstrated through DynamiCITY platform.

论文关键词：Data mining,Crowdsourcing,Urban dynamics,Social data mining,Smart city applications

论文评审过程：Received 22 January 2017, Revised 25 June 2017, Accepted 25 July 2017, Available online 28 July 2017, Version of Record 4 August 2017.

论文官网地址：https://doi.org/10.1016/j.is.2017.07.007