Journal & Article

Construction & Building Technology

I/F
# Journal I/F

Sustainable Cities and Society

Quantifying urban fragmentation through urban form: A systematic review and integrative assessment framework Strategic and equitable allocation of electric vehicle fast charging stations using geospatial-aware multi-objective deep reinforcement learning Projections of heatwave-attributable preterm births in China (2025-2100): The effects of climate scenarios and adaptation measures An evidence-based framework for digital intelligence-enabled urban physical examination in pandemic prevention From overhead to human eye level: reassessing urban green spaces equity across socioeconomic gradients through multi-perspective visionscape analysis Synergistic effects of healthy cities initiative on air pollution and carbon emissions: Evidence from China Assessing urban waterlogging risk and nonlinear drivers in high density cities: A multi model machine learning comparative approach Nonlinear driving mechanisms of land surface temperature under the coupling of blue-green space and urbanization: An analysis based on explainable machine learning Quantifying the spatial-governance substitution effect: A GIS-integrated agent-based model for community public health resiliences Vulnerability to heat exposure: Spatial variations and the role of demographic and socioeconomic status in Florida Evaluating the collective effects of vertical and ground greening on microclimate and energy consumption in a high-density building array Precision governance for urban decarbonization: Decoupling passenger and freight transport emissions by integrating explainable AI and clustering Identifying CO2 emission reduction strategies tailored to different building types by integrating multi-scale factors via deep learning Where if? Using spatial, building-stock-driven simulations to explore construction circularity strategies in Gothenburg, Sweden The smarts behind electricity: How smart city pilot policy impact electricity utilization performance in Chinese cities? Optimal policy design for urban renewable energy systems: A mathematical modeling approach toward sustainable cities Understanding continuance intention toward electrified vehicles for sustainable and resilient mobility: Integrating VBN and ECT with a user heterogeneity analysis Rethinking Urban Cold Spots: Downstream Microclimate and Optimal Placement Three-dimensional thermal benefits of urban tree canopy under calm conditions: a case study in Hong Kong Quantifying urban heat island effects on building cooling energy use in Hong Kong at high spatiotemporal resolution Urban ecological environment quality and brain aging: epidemiological evidence from a middle-aged and elderly population-based cohort Assessing future heat stress risk across Swedish residential areas using a combined GIS and indicator-based approach Toward interpretable urban spatial layout generation: Encoding domain knowledge into graph neural networks Greening guidelines for cooling European neighbourhoods with temperate climate: A research-through-design approach Assessment of coupled PV-EV penetration in a grid-connected district energy system with scheduled charging: A case study of a mixed-use district in Northern Italy Rethinking urban inefficient land identification and optimization: A case study in Shenzhen, China How climate risk drives urban green innovation: Evidence from 292 cities in China Agglomeration under strain: Nonlinear dynamics of urban functional conflicts Decoding the spatial imbalance of urban green space’s cooling service from a supply-demand perspective: A case study of Xi’an, China Urban building shadow exposure metric (UB-SEM): Quantification of urban building compactness for cooling energy demand prediction Sponge cities for a greener future: Assessing the impact of sponge city pilot policy on the synergistic efficiency of pollution and carbon reduction Urban heat resilience from a state–process perspective: Heatwave-induced cooling service supply–demand mismatch and hierarchical spatial allocation of greening Towards low-carbon cities: high-resolution mapping of building-stock carbon emissions with planning indicator based diagnosis under spatial heterogeneity Water-Land-Energy-Carbon nexus in cities: A dynamic model with evidence from Beijing Automated urban energy assessment: From thermal flyover to AI-driven retrofit prioritization for sustainable cities Nonlinear and interaction effects of 2D/3D urban morphological change on high-temperature-zone expansion in Beijing central districts (2000-2020) Revealing land-use functional patterns and associated factors in China’s high-speed rail station areas: Based on self-organizing maps and explainable machine learning algorithms Urban airflow field prediction using sparse sensors: A hybrid data-driven approach with reduced-order modeling Walkable but not walkable? A mismatch between urban heat and pedestrian-oriented environments in promoting equitable climate resilience Enhancing interdependent infrastructure systems resilience in post-disaster recovery: A social-technical approach based on reinforcement learning From green space to park-based cooling potential: Performance-weighted walkable access to urban park cooling in Detroit Urban green space percolation: From connectivity to ecological management mapping Why do residents still drive and travel beyond high-accessibility neighborhoods? Examining the challenges to the 15-minute city concept A comparative assessment of sampling strategies for tree-based machine learning models in urban flood susceptibility prediction with imbalanced data Deconstructing the implicit water resource costs and environmental inequality of China’s data services Uncovering potential benefits of sustainable energy and climate action plans in small municipalities in Europe Surface thermal patterns in China’s five urban agglomerations around lakes: Cross-regional evidence from a disturbance–carrying–resilience perspective A causal GeoAI framework for capturing the unearned increment to self-finance public infrastructure Causal machine learning uncovers thresholds and seasonal reversal in landscape-meteorology-driven urban Heat-PM₂.₅ coupling Theory-informed and interpretable graph learning for urban commuting flows