From Mobility to Building Functions in Tokyo
Title: From human mobility to building functions: A deep learning approach for urban building classification in Megacity Tokyo
城市分析 (Urban Project)
Impact of Park Environments on Violent Crime in Wuhan: An XGBoost-SHAP Approach
Title: Exploring the Impact of Park and Surrounding Environments on Violent Crime in Wuhan: An XGBoost-SHAP Approach
MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
Title: MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
A multimodal data fusion model for accurate urban land use mapping with uncertainty analysis
Title: A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis
Predicting the locations of missing persons in China by using NGO data and deep learning techniques
Title：Predicting the locations of missing persons in China by using NGO data and deep learning techniquesAbstractMissing person crimes can seriously a
Extract the pickpocketing information implied in built environment by treating it as the anomalies
Title: Extracting the pickpocketing information implied in the built environment by treating it as the anomaliesAbstractThe practice of crime risk map
A site selection framework for urban power substation using optimization strategy and big data
A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data
Predicting mobile users' next location using geo-embedding model and multilayer attention mechanism
Title: Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
Title: CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
Extracting human perceptions from street view images for better assessing urban renewal potential
Title：Extracting human perceptions from street view images for better assessing urban renewal potentialHighlightsHuman visual and emotional perception