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Action-oriented urban agriculture opportunity spaces: Prioritization, sustainable-development potential, and food self-sufficiency rates Estimation of spatiotemporal changes in electricity-related greenhouse gas emissions in South Korea using nighttime light data A CFD-CONTAM-BES framework incorporates wind pressure, air temperature, and indoor air circulation to estimate energy consumption of high-rise buildings Physics-informed neural network calibration and application for urban cooling “It’s fair once you’re in it” - Comparing public and government perceptions on Zero Emission Vehicle policy A holistic multi-objective framework for level crossing resource allocation decisions with safety, environmental, and noise pollution considerations Modeling the potential impact of work-from-home on urban commuting patterns: A multi-source data integration approach Evaluation of the surface urban energy and water balance scheme (SUEWS) and its application in LCZs of the humid subtropical city Guangzhou Welfare spillovers from inter-city carbon transfers in China’s metropolitan areas What health risks arise in shrinking cities? A systematic review A multi-dimensional framework for evaluating urban flood resilience in China: Spatial heterogeneity, driving mechanisms, and scenario-based projections Harnessing ancient wisdom: Investigating the microclimatic cooling effects and evaporative potential of traditional water channels in arid environments Spatiotemporal network effects and mechanisms of charging station utilization patterns Color-enhanced radiative cooling for building envelopes: Lead-free perovskite films for sustainable passive thermal design Development of a novel vegetation cooling effectiveness index under peak thermal stress in hot-arid urban environments Evaluation of summer microclimate and outdoor thermal comfort in coastal tourism areas based on CFD-drone photogrammetry: A study in Rizhao Nonlinear and spatially heterogeneous effects of the built environment on urban flood resilience: An interpretable spatially weighted machine learning framework Flood risk prediction and priority management area identification under SSP-RCP scenarios: A Bayesian network approach in the Beijing–Tianjin–Hebei region Disentangling travel characteristics of micro-mobility: Insights provided by an interpretable spatial machine learning modeling framework Enhancing thermal resilience of heat–cold island networks in lake-ring urban agglomerations using machine learning and multi-scenario simulations A rapid optimization framework for high-rise office block design elements driven by carbon emission performance: Perspectives from three climate zones in China Interpretable multimodal generative design of three-dimensional urban hub morphology for resilient and sustainable planning Unraveling the impacts of multidimensional urban influencing factors on daytime and nighttime thermal environments across urban functional zones using SDGSAT-1 data and XGBoost-GeoShapley analysis Forecast of the potential for enhancing construction land use efficiency through new quality productive forces in China—Based on XGBoost-SHAP model identification Optimal scheduling for CCHP in highway service areas considering equipment status switching and variable coefficient of performance From gas to charging: equity disparities in urban transport energy infrastructure through supply-demand and spatial learning perspectives From data to impact: Lifecycle-oriented digital twins for urban heat island mitigation and climate resilience Graph-driven urban structure analysis: Typology inference and performance linkage from VHR imagery Data-driven risk assessment of climate-related failures in railway infrastructure Trajectory-integrated accessibility analysis of public electric vehicle charging stations Nonlinear mechanism of multi-stressors interactions on thermal mitigation efficacy of urban blue-green infrastructure Mapping urban heatscapes with isotherms: pedestrian-height insights Participatory agent-based scenario development for mid-sized cities: Evaluating housing and sustainable mobility interactions Cities as thermodynamic systems: unpacking political power, governance capacity, and structural inequality in the production of urban sustainability Spatial patterns of supply–demand and network resilience in urban emergency services: A multi-system case study of Shijiazhuang, China Quantifying pedestrian thermal comfort under extreme heat using 360° street view factors A Data-Driven Framework for Assessing Compound Urban Heat–Energy Vulnerability: Evidence from Two Mediterranean Housing Districts Urban vegetation and thermal indicators dynamics to address heat-related challenges: A review framed by Local Climate Zones Urban digital twins and water sensitive urban design: A systematic literature review The next frontier of generative intelligence in smarter eco-cities: A systematic review of deep generative and hybrid modeling applications for environmental sustainability Private cooling, urban heat, and the limits of collective climate action in tropical cities The ‘What If’ framework: A scenario-based counterfactual approach to modelling urban resilience and disaster impact Urban heat on the move: How functional zoning and shifting populations intensify day–night exposure hotspots Chameleon-inspired urban pavements: bio-adaptive thermochromic systems for emergency heat wave response Beyond brightness: How lighting configuration and urban context shape nighttime park use Wildland-urban interface delineation using self-adaptive thresholding informed by historical wildfire patterns: a case study using very-high-resolution satellite imagery and deep learning algorithm High-precision noise mapping for health-equitable urban governance: A two-stage multi-source framework The impact of community resilience on subjective well-being––A multi-level structural equation model analysis in Busan, South Korea Mechanism-oriented Object–Environment–Emotion (OEE) framework for urban flood disaster assessment using multimodal social media Unveiling flood resilience anomalies in urban blocks using an explainable spatial intelligence framework