Incorporating multimodal context information into traffic speed forecasting
Title: Incorporating multimodal context information into traffic speed forecasting through graph deep learning
城市模型 (Urban Modeling)
Street-level traffic flow and context sensing analysis through semantic integration
Title: Street-level traffic flow and context sensing analysis through semantic integration of multisource geospatial data
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
Trackintel: An open-source Python library for human mobility analysis
Trackintel: An open-source Python library for human mobility analysis
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
Gauging urban resilience in the U.S. during the COVID-19 pandemic via social network analysis
Title: Gauging urban resilience in the United States during the COVID-19 pandemic via social network analysis
Conserved quantities in human mobility: From locations to trips
Title: Conserved quantities in human mobility: From locations to tripsAbstractQuantifying intra-person variability in travel choices is essential for
Fast optimization for large scale in complex urban systems using the hybrid sparrow search algo
Title：Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithmAbstractUrban logistics is vital t
Estimating China’s poverty reduction efficiency by integrating multi-source data and deep learning
Title：Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniquesAbstractPoverty threaten