城市兴趣点演化规律的可预测性分析

Qi Long Wu, Zhi Wen Yu, Xin Jiang Lu, Bin Guo

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

A PLCPA model was established to describe the predictability of urban point-of-interest evolution. Based on the change of urban interest points in continuous time window, a definition of the life cycle length and life cycle status was given and the predictability of point-of-interest evolution was analyzed. Fano's inequality was combined with the life cycle length and status of urban point-of-interest to quantify the predictability of the evolution of urban point-of-interest. And the predictability calculation of life cycle length and status of urban point-of-interest was given based on the information uncertainty measure in the information theory. The predictability of different categories of point-of-interest with different levels of granularity was calculated according to the urban point-of-interest data of seven cities. Results show that the life cycle of urban interest points is predictable; the predictabilities of different categories of point-of-interest are quite different; the predictability of the points-of-interest in the decaying status is higher than that of the stable status and the booming status.

投稿的翻译标题Analysis on predictability of urban point-of-interest evolution
源语言繁体中文
页(从-至)1768-1778
页数11
期刊Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
53
9
DOI
出版状态已出版 - 1 9月 2019

关键词

  • Fano's inequality
  • Information entropy
  • Predictability
  • Urban point-of-interest

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