Human Mobility and Location-Based Analysis -- 专题文献

专题：Human Mobility and Location-Based Analysis

This cluster of papers focuses on understanding human mobility patterns using various sources of data such as GPS, mobile phone, and smart card data. It explores topics related to transportation modes, urban analysis, population movements, and travel behavior. The research aims to uncover the spatial and temporal dynamics of human mobility at both individual and collective levels.

专题：Human Mobility and Location-Based Analysis

最新文献

Mapping flows, shaping spaces: a review of data-driven approaches to EU cross-border regions

Beyond objective features: Integrating subjective perceptions to decipher urban vitality via multimodal machine learning

Unraveling the nexus between spatial quality and buzz behavior: Analyzing geo-tagged social media and multisource spatial data using text mining and XGBoost

Beyond static brightness: daily nighttime light fluctuations enrich nighttime vitality evaluation for urban zones

UrbanMMCL: Urban region representations via multi-modal and multi-graph self-supervised contrastive learning

Predicting human mobility flows in cities using deep learning on satellite imagery

From neighborhoods to streetscapes: Pandemic-era shifts in built-environment effects on pedestrian mobility

MobilityGPT: Enhanced Human Mobility Modeling With a GPT Model

SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition

Deep learning based personalized tourism recommendation for behavior analysis and route optimization

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