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
A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data
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
Title: CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
Title: Gauging urban resilience in the United States during the COVID-19 pandemic via social network analysis
Title: Conserved quantities in human mobility: From locations to tripsAbstractQuantifying intra-person variability in travel choices is essential for
Title:Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithmAbstractUrban logistics is vital t
Title:Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniquesAbstractPoverty threaten
Title:Extracting human perceptions from street view images for better assessing urban renewal potentialHighlightsHuman visual and emotional perception
交通驱动下微观地块尺度的城市土地利用变化模拟 —— 以深圳市为例摘要城市交通作为土地利用空间格局变化的重要驱动因素,在城市发展模拟研究中值得重视。如何有效挖掘城市交通因素并引入地块尺度城市土地利用模拟成为重要议题。本文提出一套基于矢量元胞自动机考虑交通因素的城市土地利用变化模拟框架(T-VCA)。该