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Updated: Jan 10, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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智能旅游的需求预测集成空间计量学和深度学习

Jianlin Ma1

  • 1School of Culture and Tourism, Chongqing Business Vocational College, Chongqing, China. majianlin1130@163.com.

Scientific reports
|November 29, 2025
PubMed
概括

这项研究引入了智能旅游需求预测的新框架,通过整合空间计量和深度学习 (LSTM). 该模型通过捕捉空间相关性显著提高了准确性,超过了传统方法.

关键词:
深度学习是一种深度学习.智能旅游是一个智能旅游.空间计量经济学模型空间灵敏度分析旅游需求预测 旅游需求预测

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